Translation History
Neuroscience - detected
Significance
Specific changes in one region can influence the activity throughout the entire brain, a phenomenon known as diaschisis. This study combines advanced imaging techniques and personalized brain simulations in mice to investigate how targeted brain interventions, such as lesions or temporary silencing of certain regions, reshape global brain connectivity. The findings provide insights into why some interventions lead to reduced connectivity (hypoconnectivity) while others result in increased connectivity (hyperconnectivity), as observed in the literature. By elucidating the mechanisms underlying diaschisis, this work establishes a framework for understanding the widespread effects of localized brain injuries or interventions and for developing more precise therapeutic strategies that address brain dynamics across multiple scales.
Developmental biology
Significance
Specific changes in one tissue region can influence bioelectrical activity throughout the entire organism, a phenomenon known as developmental diaschisis. This study combines advanced bioelectric imaging techniques and personalized computational simulations in model organisms to investigate how targeted tissue interventions, such as localized ablations or temporary suppression of specific signaling centers, reshape global bioelectrical connectivity. The findings provide insights into why some interventions lead to reduced connectivity (hypoconnectivity) while others result in increased connectivity (hyperconnectivity), as observed in the literature. By elucidating the mechanisms underlying developmental diaschisis, this work establishes a framework for understanding the widespread effects of localized tissue injuries or interventions and for developing more precise regenerative strategies that address morphogenetic dynamics across multiple scales.
about 4 hours ago
Neuroscience - detected
The resting human brain, characterized by intrinsic or spontaneous brain activities, has been increasingly understood from a connectome perspective over the past two decades1,2,3. The emergence, development and aging of the intrinsic connectome architecture enables the dynamic reorganization of functional specialization and integration throughout the lifespan, contributing to continuous changes in human cognition and behavior4,5. Understanding the spatiotemporal growth process of the typical functional connectome is critical for elucidating network-level developmental principles in healthy individuals and for pinpointing periods of heightened vulnerability or potential. Disruption of these normative connectome patterns, especially during specific time windows, can predispose individuals to a spectrum of neurodevelopmental6, neurodegenerative7 and psychiatric disorders8,9. The growth chart framework provides an invaluable tool for charting normative reference curves in the human brain10,11. Recently, Bethlehem et al.10 delineated the life-cycle growth curves of brain morphometry by aggregating the largest multisite structural magnetic resonance imaging (MRI) dataset to date (101,457 individuals from 115 days after conception to 100 years of age), marking an important step toward reproducible and generalizable brain charts. However, the normative growth charts of the functional brain connectome across the human lifespan remain unknown.
Cell signaling
The basal cellular state, characterized by intrinsic or spontaneous signaling activities, has been increasingly understood from a signaling network perspective. The emergence, maturation, and senescence of intrinsic signaling network architecture enables dynamic reorganization of signaling specificity and integration throughout the cellular lifespan, contributing to continuous changes in cellular function and response. Understanding the spatiotemporal development of the typical signaling network is critical for elucidating network-level developmental principles in healthy cells and for pinpointing periods of heightened vulnerability or potential. Disruption of these normative signaling network patterns, especially during specific temporal windows, can predispose cells to a spectrum of developmental, degenerative, and signaling-related disorders. The growth chart framework provides an invaluable tool for charting normative reference curves in cellular signaling. Recently, comprehensive analyses delineated life-cycle growth curves of cellular morphology by aggregating large-scale imaging datasets, marking an important step toward reproducible and generalizable cellular growth charts. However, normative growth charts of the functional signaling network across the cellular lifespan remain unknown.
2 days ago
Neuroscience - detected
The resting human brain, characterized by intrinsic or spontaneous brain activities, has been increasingly understood from a connectome perspective over the past two decades1,2,3. The emergence, development and aging of the intrinsic connectome architecture enables the dynamic reorganization of functional specialization and integration throughout the lifespan, contributing to continuous changes in human cognition and behavior4,5. Understanding the spatiotemporal growth process of the typical functional connectome is critical for elucidating network-level developmental principles in healthy individuals and for pinpointing periods of heightened vulnerability or potential. Disruption of these normative connectome patterns, especially during specific time windows, can predispose individuals to a spectrum of neurodevelopmental6, neurodegenerative7 and psychiatric disorders8,9. The growth chart framework provides an invaluable tool for charting normative reference curves in the human brain10,11. Recently, Bethlehem et al.10 delineated the life-cycle growth curves of brain morphometry by aggregating the largest multisite structural magnetic resonance imaging (MRI) dataset to date (101,457 individuals from 115 days after conception to 100 years of age), marking an important step toward reproducible and generalizable brain charts. However, the normative growth charts of the functional brain connectome across the human lifespan remain unknown.
Psychology
The resting human mind, characterized by intrinsic or spontaneous mental activities, has been increasingly understood from a network perspective over the past two decades. The emergence, development, and aging of intrinsic cognitive network architecture enables dynamic reorganization of functional specialization and integration throughout the lifespan, contributing to continuous changes in human cognition and behavior. Understanding the spatiotemporal developmental trajectory of typical cognitive network connectivity is critical for elucidating network-level developmental principles in healthy individuals and for pinpointing periods of heightened vulnerability or potential. Disruption of these normative cognitive network patterns, especially during specific developmental windows, can predispose individuals to a spectrum of neurodevelopmental, neurodegenerative, and psychiatric disorders. The growth chart framework provides an invaluable tool for charting normative reference curves in human psychological development. Recently, Bethlehem et al. delineated life-cycle growth curves of cognitive and behavioral measures by aggregating the largest multisite psychological assessment dataset to date, marking an important step toward reproducible and generalizable psychological growth charts. However, normative growth charts of functional cognitive network connectivity across the human lifespan remain unknown.
2 days ago
Neuroscience - detected
The resting human brain, characterized by intrinsic or spontaneous brain activities, has been increasingly understood from a connectome perspective over the past two decades1,2,3. The emergence, development and aging of the intrinsic connectome architecture enables the dynamic reorganization of functional specialization and integration throughout the lifespan, contributing to continuous changes in human cognition and behavior4,5. Understanding the spatiotemporal growth process of the typical functional connectome is critical for elucidating network-level developmental principles in healthy individuals and for pinpointing periods of heightened vulnerability or potential. Disruption of these normative connectome patterns, especially during specific time windows, can predispose individuals to a spectrum of neurodevelopmental6, neurodegenerative7 and psychiatric disorders8,9. The growth chart framework provides an invaluable tool for charting normative reference curves in the human brain10,11. Recently, Bethlehem et al.10 delineated the life-cycle growth curves of brain morphometry by aggregating the largest multisite structural magnetic resonance imaging (MRI) dataset to date (101,457 individuals from 115 days after conception to 100 years of age), marking an important step toward reproducible and generalizable brain charts. However, the normative growth charts of the functional brain connectome across the human lifespan remain unknown.
Olfaction and behavior
The resting olfactory system, characterized by intrinsic or spontaneous olfactory activities, has been increasingly understood from a behavioral circuit perspective over recent decades. The emergence, maturation, and aging of intrinsic olfactory circuit architecture enables dynamic reorganization of odor-specific sensitivity and integration throughout the lifespan, contributing to continuous changes in olfactory perception and odor-guided behavior. Understanding the spatiotemporal development of typical olfactory circuits is critical for elucidating circuit-level developmental principles in healthy individuals and for pinpointing periods of heightened vulnerability or potential. Disruption of these normative olfactory circuit patterns, especially during specific developmental windows, can predispose individuals to a spectrum of olfactory dysfunctions, sensory decline, and behavioral disorders. The growth chart framework provides an invaluable tool for charting normative reference curves in olfactory circuit maturation. Recently, large-scale studies have delineated life-cycle growth curves of olfactory sensory structures by aggregating extensive multisite olfactory datasets, marking an important step toward reproducible and generalizable olfactory development charts. However, normative growth charts of functional olfactory circuits across the human lifespan remain unknown.
2 days ago
Neuroscience - detected
The resting human brain, characterized by intrinsic or spontaneous brain activities, has been increasingly understood from a connectome perspective over the past two decades1,2,3. The emergence, development and aging of the intrinsic connectome architecture enables the dynamic reorganization of functional specialization and integration throughout the lifespan, contributing to continuous changes in human cognition and behavior4,5. Understanding the spatiotemporal growth process of the typical functional connectome is critical for elucidating network-level developmental principles in healthy individuals and for pinpointing periods of heightened vulnerability or potential. Disruption of these normative connectome patterns, especially during specific time windows, can predispose individuals to a spectrum of neurodevelopmental6, neurodegenerative7 and psychiatric disorders8,9. The growth chart framework provides an invaluable tool for charting normative reference curves in the human brain10,11. Recently, Bethlehem et al.10 delineated the life-cycle growth curves of brain morphometry by aggregating the largest multisite structural magnetic resonance imaging (MRI) dataset to date (101,457 individuals from 115 days after conception to 100 years of age), marking an important step toward reproducible and generalizable brain charts. However, the normative growth charts of the functional brain connectome across the human lifespan remain unknown.
Cell signaling
The basal cellular state, characterized by intrinsic or spontaneous signaling activities, has been increasingly understood from a network perspective. The emergence, maturation, and senescence of intrinsic signaling network architecture enables dynamic reorganization of functional specialization and integration throughout the cellular lifespan, contributing to continuous changes in cellular function and response. Understanding the spatiotemporal development of the typical signaling network is critical for elucidating network-level developmental principles in healthy cells and for pinpointing periods of heightened vulnerability or potential. Disruption of these normative signaling network patterns, especially during specific temporal windows, can predispose cells to a spectrum of developmental, degenerative, and signaling-related disorders. The growth chart framework provides an invaluable tool for charting normative reference curves in cellular signaling networks. Recently, comprehensive analyses delineated life-cycle growth curves of cellular morphology by aggregating large-scale imaging datasets, marking an important step toward reproducible and generalizable cellular growth charts. However, normative growth charts of functional signaling networks across the cellular lifespan remain unknown.
2 days ago
Neuroscience - detected
The resting human brain, characterized by intrinsic or spontaneous brain activities, has been increasingly understood from a connectome perspective over the past two decades1,2,3. The emergence, development and aging of the intrinsic connectome architecture enables the dynamic reorganization of functional specialization and integration throughout the lifespan, contributing to continuous changes in human cognition and behavior4,5. Understanding the spatiotemporal growth process of the typical functional connectome is critical for elucidating network-level developmental principles in healthy individuals and for pinpointing periods of heightened vulnerability or potential. Disruption of these normative connectome patterns, especially during specific time windows, can predispose individuals to a spectrum of neurodevelopmental6, neurodegenerative7 and psychiatric disorders8,9. The growth chart framework provides an invaluable tool for charting normative reference curves in the human brain10,11. Recently, Bethlehem et al.10 delineated the life-cycle growth curves of brain morphometry by aggregating the largest multisite structural magnetic resonance imaging (MRI) dataset to date (101,457 individuals from 115 days after conception to 100 years of age), marking an important step toward reproducible and generalizable brain charts. However, the normative growth charts of the functional brain connectome across the human lifespan remain unknown.
Developmental biology
The resting embryonic body, characterized by intrinsic or spontaneous bioelectrical activities, has been increasingly understood from a morphogenetic connectivity perspective over the past two decades. The emergence, development, and aging of intrinsic bioelectric connectivity architecture enables the dynamic reorganization of morphogenetic specialization and integration throughout the lifespan, contributing to continuous changes in tissue patterning and morphogenesis. Understanding the spatiotemporal growth process of the typical bioelectric connectome is critical for elucidating network-level developmental principles in healthy organisms and for pinpointing periods of heightened vulnerability or potential. Disruption of these normative bioelectric connectivity patterns, especially during specific competency windows, can predispose organisms to a spectrum of developmental defects, degenerative conditions, and teratological disorders. The growth chart framework provides an invaluable tool for charting normative reference curves in embryonic and post-embryonic tissues. Recently, large-scale spatial gene expression profiling datasets have delineated life-cycle growth curves of anatomical morphometry by aggregating extensive multisite imaging data across developmental stages, marking an important step toward reproducible and generalizable morphogenetic charts. However, the normative growth charts of the functional bioelectric connectome across the organismal lifespan remain unknown.
2 days ago
Neuroscience - detected
It is known that the exact neurons maintaining a given memory (the neural ensemble) change from trial to trial. This raises the question of how the brain achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the electric fields that arise from neural activity. We show that electric fields carry information about working memory content. The electric fields, in turn, can act as "guard rails" that funnel higher dimensional variable neural activity along stable lower dimensional routes. We obtained the latent space associated with each memory. We then confirmed the stability of the electric field by mapping the latent space to different cortical patches (that comprise a neural ensemble) and reconstructing information flow between patches. Stable electric fields can allow latent states to be transferred between brain areas, in accord with modern engram theory.
Developmental biology
It is known that the exact cells maintaining a given pattern memory (the cellular ensemble) change from trial to trial. This raises the question of how the developing organism achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of bioelectric fields that arise from cellular voltage changes. We show that bioelectric fields carry information about morphogenetic pattern content. The bioelectric fields, in turn, can act as "guard rails" that funnel higher dimensional variable cellular activity along stable lower dimensional routes. We obtained the latent morphospace associated with each pattern memory. We then confirmed the stability of the bioelectric field by mapping the latent morphospace to different tissue regions (that comprise a cellular ensemble) and reconstructing information flow between regions. Stable bioelectric fields can allow latent states to be transferred between body areas, in accord with modern morphogenetic field theory.
2 days ago
Neuroscience - detected
It is known that the exact neurons maintaining a given memory (the neural ensemble) change from trial to trial. This raises the question of how the brain achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the electric fields that arise from neural activity. We show that electric fields carry information about working memory content. The electric fields, in turn, can act as "guard rails" that funnel higher dimensional variable neural activity along stable lower dimensional routes. We obtained the latent space associated with each memory. We then confirmed the stability of the electric field by mapping the latent space to different cortical patches (that comprise a neural ensemble) and reconstructing information flow between patches. Stable electric fields can allow latent states to be transferred between brain areas, in accord with modern engram theory.
Developmental biology
It is known that the exact cells maintaining a given pattern memory (the cellular ensemble) change from event to event. This raises the question of how the developing organism achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of bioelectric fields arising from cellular voltage changes. We show that bioelectric fields carry information about morphogenetic pattern content. The bioelectric fields, in turn, can act as "guard rails" that funnel higher dimensional variable cellular activity along stable lower dimensional developmental trajectories. We obtained the latent morphospace associated with each pattern memory. We then confirmed the stability of the bioelectric field by mapping the latent morphospace to different tissue regions (that comprise a cellular ensemble) and reconstructing information flow between regions. Stable bioelectric fields can allow latent states to be transferred between body areas, in accord with modern morphogenetic field theory.
2 days ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Cell signaling
The responsive cell adapts itself to existing signaling environments; the non-responsive cell persists in modifying signaling environments to suit its own state. Therefore, signaling network evolution depends on the non-responsive cell.
2 days ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Developmental biology
The receptive cell attunes itself to the morphospace; the uncompromising one persists in trying to modulate the morphospace to fit its target morphology. Therefore, all advancement in morphogenesis hinges on the uncompromising cell.
2 days ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Developmental biology
The receptive cell attunes itself to the morphospace; the uncompromising one persists in trying to modulate the morphospace to fit its target morphology. Therefore, all advancement in morphogenesis hinges on the uncompromising cell.
2 days ago
Neuroscience - detected
It is known that the exact neurons maintaining a given memory (the neural ensemble) change from trial to trial. This raises the question of how the brain achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the electric fields that arise from neural activity. We show that electric fields carry information about working memory content. The electric fields, in turn, can act as "guard rails" that funnel higher dimensional variable neural activity along stable lower dimensional routes. We obtained the latent space associated with each memory. We then confirmed the stability of the electric field by mapping the latent space to different cortical patches (that comprise a neural ensemble) and reconstructing information flow between patches. Stable electric fields can allow latent states to be transferred between brain areas, in accord with modern engram theory.
Chemistry
It is known that the specific molecules maintaining a given chemical state (the molecular ensemble) vary from reaction to reaction. This raises the question of how chemical systems achieve stability despite this molecular drift. Here, we demonstrate that this stability emerges at the level of the electromagnetic fields generated by molecular interactions. We show that electromagnetic fields carry information about reaction intermediates. These electromagnetic fields, in turn, can act as "guiding potentials" that channel higher-dimensional variable molecular interactions along stable lower-dimensional reaction pathways. We obtained the latent reaction coordinate associated with each chemical state. We then confirmed the stability of the electromagnetic field by mapping the latent reaction coordinate onto different molecular clusters (that comprise a molecular ensemble) and reconstructing information transfer between clusters. Stable electromagnetic fields can allow latent chemical states to be transferred between molecular assemblies, consistent with modern reaction mechanism theory.
2 days ago
Neuroscience - detected
It is known that the exact neurons maintaining a given memory (the neural ensemble) change from trial to trial. This raises the question of how the brain achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the electric fields that arise from neural activity. We show that electric fields carry information about working memory content. The electric fields, in turn, can act as "guard rails" that funnel higher dimensional variable neural activity along stable lower dimensional routes. We obtained the latent space associated with each memory. We then confirmed the stability of the electric field by mapping the latent space to different cortical patches (that comprise a neural ensemble) and reconstructing information flow between patches. Stable electric fields can allow latent states to be transferred between brain areas, in accord with modern engram theory.
Chemistry
It is known that the specific molecules maintaining a given chemical state (the molecular ensemble) vary from reaction to reaction. This raises the question of how chemical systems achieve stability despite this molecular drift. Here, we demonstrate that this stability emerges at the level of the electromagnetic fields generated by molecular interactions. We show that electromagnetic fields encode information about reaction intermediates. These electromagnetic fields, in turn, act as "guiding potentials" that channel higher-dimensional variable molecular interactions along stable lower-dimensional reaction pathways. We obtained the latent reaction coordinate associated with each chemical state. We then confirmed the stability of the electromagnetic field by mapping the latent reaction coordinate onto different molecular clusters (comprising a molecular ensemble) and reconstructing information transfer between clusters. Stable electromagnetic fields can facilitate the transfer of latent chemical states between reaction sites, consistent with contemporary reaction mechanism theory.
2 days ago
Neuroscience - detected
It is known that the exact neurons maintaining a given memory (the neural ensemble) change from trial to trial. This raises the question of how the brain achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the electric fields that arise from neural activity. We show that electric fields carry information about working memory content. The electric fields, in turn, can act as "guard rails" that funnel higher dimensional variable neural activity along stable lower dimensional routes. We obtained the latent space associated with each memory. We then confirmed the stability of the electric field by mapping the latent space to different cortical patches (that comprise a neural ensemble) and reconstructing information flow between patches. Stable electric fields can allow latent states to be transferred between brain areas, in accord with modern engram theory.
Physics
It is known that the exact particles constituting a given quantum state (the particle ensemble) fluctuate from measurement to measurement. This raises the question of how physical systems achieve stability despite this representational drift. Here, we demonstrate that this stability emerges at the level of electromagnetic fields generated by particle interactions. We show that electromagnetic fields encode information about quantum state content. These fields, in turn, act as "guiding potentials" that constrain higher-dimensional variable particle dynamics along stable lower-dimensional trajectories. We obtained the latent space associated with each quantum state. We then confirmed the stability of the electromagnetic field by mapping the latent space onto different spatial regions (comprising particle ensembles) and reconstructing information transfer between regions. Stable electromagnetic fields can facilitate latent state transfer between spatial domains, consistent with modern quantum information theory.
2 days ago
Neuroscience - detected
It is known that the exact neurons maintaining a given memory (the neural ensemble) change from trial to trial. This raises the question of how the brain achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the electric fields that arise from neural activity. We show that electric fields carry information about working memory content. The electric fields, in turn, can act as "guard rails" that funnel higher dimensional variable neural activity along stable lower dimensional routes. We obtained the latent space associated with each memory. We then confirmed the stability of the electric field by mapping the latent space to different cortical patches (that comprise a neural ensemble) and reconstructing information flow between patches. Stable electric fields can allow latent states to be transferred between brain areas, in accord with modern engram theory.
Psychology
It is known that the specific cognitive representations underlying a given memory (the mental schema) shift from instance to instance. This raises the question of how the mind maintains stability despite this representational variability. Here, we demonstrate that this stability emerges at the level of cognitive attractor states arising from mental activity. We show that these cognitive attractors encode information about working memory content. The cognitive attractors, in turn, function as "guard rails" that guide variable higher-dimensional mental processes along stable lower-dimensional trajectories. We identified the latent cognitive space associated with each memory. We then confirmed the stability of these cognitive attractors by mapping the latent space onto distinct cognitive modules (comprising a mental schema) and reconstructing information flow between modules. Stable cognitive attractors can facilitate the transfer of latent mental states across psychological domains, consistent with contemporary schema theory.
2 days ago
Neuroscience - detected
It is known that the exact neurons maintaining a given memory (the neural ensemble) change from trial to trial. This raises the question of how the brain achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the electric fields that arise from neural activity. We show that electric fields carry information about working memory content. The electric fields, in turn, can act as "guard rails" that funnel higher dimensional variable neural activity along stable lower dimensional routes. We obtained the latent space associated with each memory. We then confirmed the stability of the electric field by mapping the latent space to different cortical patches (that comprise a neural ensemble) and reconstructing information flow between patches. Stable electric fields can allow latent states to be transferred between brain areas, in accord with modern engram theory.
Computer science
It is known that the exact computational nodes maintaining a given data representation (the computational ensemble) change from execution to execution. This raises the question of how a computing system achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the electromagnetic fields generated by computational activity. We show that electromagnetic fields carry information about working memory content. The electromagnetic fields, in turn, can act as "guard rails" that funnel higher-dimensional variable computational activity along stable lower-dimensional trajectories. We obtained the latent space associated with each data representation. We then confirmed the stability of the electromagnetic field by mapping the latent space to different computational modules (that comprise a computational ensemble) and reconstructing information flow between modules. Stable electromagnetic fields can allow latent states to be transferred between computational units, in accord with modern distributed computing theory.
2 days ago
Neuroscience - detected
It is known that the exact neurons maintaining a given memory (the neural ensemble) change from trial to trial. This raises the question of how the brain achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the electric fields that arise from neural activity. We show that electric fields carry information about working memory content. The electric fields, in turn, can act as "guard rails" that funnel higher dimensional variable neural activity along stable lower dimensional routes. We obtained the latent space associated with each memory. We then confirmed the stability of the electric field by mapping the latent space to different cortical patches (that comprise a neural ensemble) and reconstructing information flow between patches. Stable electric fields can allow latent states to be transferred between brain areas, in accord with modern engram theory.
Developmental biology
It is known that the exact cells maintaining a given pattern memory (the cellular ensemble) change from trial to trial. This raises the question of how the developing organism achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the bioelectric fields that arise from cellular voltage changes. We show that bioelectric fields carry information about morphogenetic pattern content. The bioelectric fields, in turn, can act as "guard rails" that funnel higher dimensional variable cellular activity along stable lower dimensional routes. We obtained the latent morphospace associated with each pattern memory. We then confirmed the stability of the bioelectric field by mapping the latent morphospace to different tissue regions (that comprise a cellular ensemble) and reconstructing information flow between regions. Stable bioelectric fields can allow latent states to be transferred between tissue areas, in accord with modern morphogenetic field theory.
2 days ago
Neuroscience - detected
It is known that the exact neurons maintaining a given memory (the neural ensemble) change from trial to trial. This raises the question of how the brain achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the electric fields that arise from neural activity. We show that electric fields carry information about working memory content. The electric fields, in turn, can act as "guard rails" that funnel higher dimensional variable neural activity along stable lower dimensional routes. We obtained the latent space associated with each memory. We then confirmed the stability of the electric field by mapping the latent space to different cortical patches (that comprise a neural ensemble) and reconstructing information flow between patches. Stable electric fields can allow latent states to be transferred between brain areas, in accord with modern engram theory.
Developmental biology
It is known that the exact cells maintaining a given pattern memory (the cellular ensemble) change from trial to trial. This raises the question of how the developing organism achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the bioelectric fields that arise from cellular activity. We show that bioelectric fields carry information about morphogenetic pattern content. The bioelectric fields, in turn, can act as "guard rails" that funnel higher dimensional variable cellular activity along stable lower dimensional routes. We obtained the latent morphospace associated with each pattern memory. We then confirmed the stability of the bioelectric field by mapping the latent morphospace to different tissue regions (that comprise a cellular ensemble) and reconstructing information flow between regions. Stable bioelectric fields can allow latent states to be transferred between tissue areas, in accord with modern morphogenetic field theory.
10 days ago
Neuroscience - detected
It is known that the exact neurons maintaining a given memory (the neural ensemble) change from trial to trial. This raises the question of how the brain achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the electric fields that arise from neural activity. We show that electric fields carry information about working memory content. The electric fields, in turn, can act as "guard rails" that funnel higher dimensional variable neural activity along stable lower dimensional routes. We obtained the latent space associated with each memory. We then confirmed the stability of the electric field by mapping the latent space to different cortical patches (that comprise a neural ensemble) and reconstructing information flow between patches. Stable electric fields can allow latent states to be transferred between brain areas, in accord with modern engram theory.
Developmental biology
It is known that the exact cells maintaining a given pattern memory (the cellular ensemble) change from trial to trial. This raises the question of how the developing organism achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the bioelectric fields that arise from cellular activity. We show that bioelectric fields carry information about morphogenetic pattern content. The bioelectric fields, in turn, can act as "guard rails" that funnel higher dimensional variable cellular activity along stable lower dimensional routes. We obtained the latent morphospace associated with each pattern memory. We then confirmed the stability of the bioelectric field by mapping the latent morphospace to different tissue regions (that comprise a cellular ensemble) and reconstructing information flow between regions. Stable bioelectric fields can allow latent states to be transferred between tissue areas, in accord with modern morphogenetic field theory.
12 days ago
Neuroscience - detected
It is known that the exact neurons maintaining a given memory (the neural ensemble) change from trial to trial. This raises the question of how the brain achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the electric fields that arise from neural activity. We show that electric fields carry information about working memory content. The electric fields, in turn, can act as "guard rails" that funnel higher dimensional variable neural activity along stable lower dimensional routes. We obtained the latent space associated with each memory. We then confirmed the stability of the electric field by mapping the latent space to different cortical patches (that comprise a neural ensemble) and reconstructing information flow between patches. Stable electric fields can allow latent states to be transferred between brain areas, in accord with modern engram theory.
Computer science
It is known that the specific computational nodes maintaining a given data representation (the computational ensemble) vary from execution to execution. This raises the question of how computational systems achieve stability despite this representational drift. Here, we demonstrate that this stability emerges at the level of electromagnetic fields generated by computational activity. We show that electromagnetic fields encode information about active memory states. These fields, in turn, function as "guard rails" that constrain higher-dimensional variable computational activity along stable lower-dimensional trajectories. We derived the latent space associated with each memory representation. We then confirmed the stability of the electromagnetic field by mapping the latent space onto different computational modules (comprising a computational ensemble) and reconstructing information flow between modules. Stable electromagnetic fields can facilitate the transfer of latent states between computational units, consistent with contemporary distributed memory architectures.
20 days ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Developmental biology
The receptive cell attunes itself to the morphospace; the uncompromising one persists in trying to modulate the morphospace to fit the correct target morphology. Therefore, all advancement in morphogenesis hinges on the uncompromising cell.
22 days ago
Linguistics - detected
what is this for?
Developmental biology
What is the developmental purpose of this?
23 days ago
Neuroscience - detected
It is known that the exact neurons maintaining a given memory (the neural ensemble) change from trial to trial. This raises the question of how the brain achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the electric fields that arise from neural activity. We show that electric fields carry information about working memory content. The electric fields, in turn, can act as "guard rails" that funnel higher dimensional variable neural activity along stable lower dimensional routes. We obtained the latent space associated with each memory. We then confirmed the stability of the electric field by mapping the latent space to different cortical patches (that comprise a neural ensemble) and reconstructing information flow between patches. Stable electric fields can allow latent states to be transferred between brain areas, in accord with modern engram theory.
Developmental biology
It is known that the exact cells maintaining a given pattern memory (the cellular ensemble) change from event to event. This raises the question of how the developing organism achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of bioelectric fields arising from cellular voltage changes. We show that bioelectric fields carry information about morphogenetic pattern content. The bioelectric fields, in turn, can act as "guard rails" that funnel higher dimensional variable cellular activity along stable lower dimensional developmental trajectories. We obtained the latent morphospace associated with each pattern memory. We then confirmed the stability of the bioelectric field by mapping the latent morphospace to different tissue regions (that comprise a cellular ensemble) and reconstructing information flow between regions. Stable bioelectric fields can allow latent states to be transferred between body areas, in accord with modern morphogenetic field theory.
26 days ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Developmental biology
The receptive cell attunes itself to the morphospace; the uncompromising one persists in trying to modulate the morphospace to fit the correct target morphology. Therefore, all advancement in morphogenesis hinges on the uncompromising cell.
27 days ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Developmental biology
The receptive cell attunes itself to the morphospace; the uncompromising one persists in trying to modulate the morphospace to fit the correct target morphology. Therefore, all advancement in morphogenesis hinges on the uncompromising cell.
27 days ago
Neuroscience - detected
It is known that the exact neurons maintaining a given memory (the neural ensemble) change from trial to trial. This raises the question of how the brain achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the electric fields that arise from neural activity. We show that electric fields carry information about working memory content. The electric fields, in turn, can act as "guard rails" that funnel higher dimensional variable neural activity along stable lower dimensional routes. We obtained the latent space associated with each memory. We then confirmed the stability of the electric field by mapping the latent space to different cortical patches (that comprise a neural ensemble) and reconstructing information flow between patches. Stable electric fields can allow latent states to be transferred between brain areas, in accord with modern engram theory.
Developmental biology
It is known that the exact cells maintaining a given pattern memory (the cellular ensemble) change from trial to trial. This raises the question of how the developing organism achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the bioelectric fields that arise from cellular activity. We show that bioelectric fields carry information about morphogenetic pattern content. The bioelectric fields, in turn, can act as "guard rails" that funnel higher dimensional variable cellular activity along stable lower dimensional routes. We obtained the latent morphospace associated with each pattern memory. We then confirmed the stability of the bioelectric field by mapping the latent morphospace to different tissue regions (that comprise a cellular ensemble) and reconstructing information flow between regions. Stable bioelectric fields can allow latent states to be transferred between tissue areas, in accord with modern morphogenetic field theory.
29 days ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Developmental biology
The receptive cell attunes itself to the morphospace; the uncompromising one persists in trying to modulate the morphospace to fit the correct target morphology. Therefore, all advancement in morphogenesis hinges on the uncompromising cell.
29 days ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Developmental biology
The receptive cell attunes itself to the morphospace; the uncompromising one persists in trying to modulate the morphospace to fit its target morphology. Therefore, all advancement in morphogenesis hinges on the uncompromising cell.
29 days ago
Neuroscience - detected
It is known that the exact neurons maintaining a given memory (the neural ensemble) change from trial to trial. This raises the question of how the brain achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the electric fields that arise from neural activity. We show that electric fields carry information about working memory content. The electric fields, in turn, can act as "guard rails" that funnel higher dimensional variable neural activity along stable lower dimensional routes. We obtained the latent space associated with each memory. We then confirmed the stability of the electric field by mapping the latent space to different cortical patches (that comprise a neural ensemble) and reconstructing information flow between patches. Stable electric fields can allow latent states to be transferred between brain areas, in accord with modern engram theory.
Developmental biology
It is known that the exact cells maintaining a given pattern memory (the cellular ensemble) change from event to event. This raises the question of how the developing organism achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of bioelectric fields that arise from cellular voltage changes. We show that bioelectric fields carry information about morphogenetic pattern content. The bioelectric fields, in turn, can act as "guard rails" that funnel higher dimensional variable cellular activity along stable lower dimensional trajectories. We obtained the latent morphospace associated with each pattern memory. We then confirmed the stability of the bioelectric field by mapping the latent morphospace to different tissue regions (that comprise a cellular ensemble) and reconstructing information flow between regions. Stable bioelectric fields can allow latent states to be transferred between tissue areas, in accord with modern morphogenetic field theory.
29 days ago
Neuroscience - detected
It is known that the exact neurons maintaining a given memory (the neural ensemble) change from trial to trial. This raises the question of how the brain achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the electric fields that arise from neural activity. We show that electric fields carry information about working memory content. The electric fields, in turn, can act as "guard rails" that funnel higher dimensional variable neural activity along stable lower dimensional routes. We obtained the latent space associated with each memory. We then confirmed the stability of the electric field by mapping the latent space to different cortical patches (that comprise a neural ensemble) and reconstructing information flow between patches. Stable electric fields can allow latent states to be transferred between brain areas, in accord with modern engram theory.
Developmental biology
It is known that the exact cells maintaining a given pattern memory (the cellular ensemble) change from trial to trial. This raises the question of how the developing organism achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the bioelectric fields that arise from cellular activity. We show that bioelectric fields carry information about morphogenetic pattern content. The bioelectric fields, in turn, can act as "guard rails" that funnel higher dimensional variable cellular activity along stable lower dimensional routes. We obtained the latent morphospace associated with each pattern memory. We then confirmed the stability of the bioelectric field by mapping the latent morphospace to different tissue regions (that comprise a cellular ensemble) and reconstructing information flow between regions. Stable bioelectric fields can allow latent states to be transferred between tissue areas, in accord with modern morphogenetic field theory.
29 days ago
Cybersecurity - detected
A Computational Offloading Approach
for Generative AI Intrusion Detection
Models
Intelligent Systems
Daniel Laboratório de Inteligência
Castro
Artificial e Ciência de
Silva
Computadores
Published
Daniel
Castro
Silva
Context
The rapid progression and innovation in AI have
escalated the landscape of cyber threats and defense
mechanisms to unprecedented levels. While AI
techniques have fueled advanced protective measures,
they have also enabled novel means for users with
malicious intent to perform more sophisticated and
stealthier attacks. These capabilities stem from
technological advancements like the Internet of Things
and cloud computing and the vast amounts of data
created by these technologies.
Recent advancements in language processing,
particularly LLMs, have inspired research interest across
various areas. The Transformer architecture, introduced
in 2017, revolutionized data processing by efficiently
handling large input datasets while capturing complex
patterns within input sequences. The Transformer
architecture introduces attention mechanisms, allowing
https://ldm.fe.up.pt/thesis/meic/2425/proposals/1973caee-c4e9-4478-94ce-4818b9f8887d/
1/47/15/24, 12:42 AM
A Computational Offloading Approach for Generative AI Intrusion Detection Models
models to focus on relevant parts of input sequences,
thus enhancing their ability to understand and generate
natural language text. Although Transformer-based
models were originally leveraged to handle Natural
Language Processing (NLP) tasks, they found their
applications in cybersecurity domains. Enabling
enhanced solutions to monitor input data sequences,
model normal data samples, and identify deviations or
malicious intrusion patterns. This rapidly increased
several attack vectors like unauthorized access, malware,
zero-day exploits, data breaches, denial-of-service (DoS),
social engineering, phishing, and many others. Which in
turn resulted in enormous losses for both businesses
and individuals.
Nonetheless, when it comes to edge-cloud environments
like smart cities, Industrial Internet of Things (IIoT), and
autonomous vehicles, deploying LLMs in these
environments is typically faced with a couple of
challenges. Particularly given that cloud-edge
environments require dynamic, collaborative, and real-
time cybersecurity measures to protect against threats
on edge/end devices.
Objectives
This dissertation aims to investigate and implement
offloading techniques to create smaller yet efficient
GenAI models for intrusion detection, either by model
compression, model partitioning, or knowledge transfer.
Innovation
Implementing computational offloading techniques to
reduce the size and complexity of intrusion detection
https://ldm.fe.up.pt/thesis/meic/2425/proposals/1973caee-c4e9-4478-94ce-4818b9f8887d/
2/47/15/24, 12:42 AM
A Computational Offloading Approach for Generative AI Intrusion Detection Models
GenAI models while preserving their detection accuracy
and efficiency is considered innovative.
Physics
A Computational Offloading Approach for Quantum-Inspired Intrusion Detection Models in Complex Networks
Quantum Systems
Daniel Castro Silva
Quantum Information and Computational Physics Laboratory
Published by Daniel Castro Silva
Context
The rapid advancement and innovation in quantum computing have significantly transformed the landscape of information security and defense mechanisms. While quantum algorithms have enabled sophisticated protective measures, they have also introduced novel avenues for adversaries to execute more complex and subtle attacks. These capabilities arise from technological breakthroughs such as quantum networks, quantum cryptography, and the vast amounts of quantum data generated by these technologies.
Recent developments in quantum information processing, particularly quantum neural networks and quantum-inspired algorithms, have sparked research interest across various physics domains. The Quantum Transformer architecture, inspired by quantum entanglement and introduced recently, revolutionized data processing by efficiently handling large quantum datasets while capturing intricate correlations within quantum states. Quantum Transformer architectures incorporate entanglement-based attention mechanisms, enabling models to selectively focus on relevant quantum states, thus enhancing their ability to interpret and generate quantum-encoded information. Although Quantum Transformer-based models were initially developed for quantum information processing tasks, they have found applications in quantum cybersecurity domains, enabling advanced solutions to monitor quantum data streams, model normal quantum states, and detect deviations or malicious quantum intrusion patterns. This has rapidly expanded potential attack vectors such as quantum eavesdropping, quantum malware, quantum zero-day exploits, quantum data breaches, quantum denial-of-service (QDoS), quantum social engineering, quantum phishing, and others, resulting in substantial losses for organizations and individuals.
Nevertheless, deploying quantum-inspired models in hybrid quantum-classical environments such as quantum networks, quantum-enabled smart cities, quantum industrial internet of things (QIIoT), and quantum-assisted autonomous vehicles faces significant challenges. Particularly, these quantum-classical environments require dynamic, collaborative, and real-time quantum cybersecurity measures to protect quantum and classical edge devices.
Objectives
This dissertation aims to investigate and implement computational offloading techniques to create smaller yet efficient quantum-inspired intrusion detection models, either through quantum model compression, quantum model partitioning, or quantum knowledge transfer.
Innovation
Implementing computational offloading techniques to reduce the size and complexity of quantum-inspired intrusion detection models while preserving their detection accuracy and efficiency is considered innovative.
29 days ago
Cybersecurity - detected
A Computational Offloading Approach
for Generative AI Intrusion Detection
Models
Intelligent Systems
Daniel Laboratório de Inteligência
Castro
Artificial e Ciência de
Silva
Computadores
Published
Daniel
Castro
Silva
Context
The rapid progression and innovation in AI have
escalated the landscape of cyber threats and defense
mechanisms to unprecedented levels. While AI
techniques have fueled advanced protective measures,
they have also enabled novel means for users with
malicious intent to perform more sophisticated and
stealthier attacks. These capabilities stem from
technological advancements like the Internet of Things
and cloud computing and the vast amounts of data
created by these technologies.
Recent advancements in language processing,
particularly LLMs, have inspired research interest across
various areas. The Transformer architecture, introduced
in 2017, revolutionized data processing by efficiently
handling large input datasets while capturing complex
patterns within input sequences. The Transformer
architecture introduces attention mechanisms, allowing
https://ldm.fe.up.pt/thesis/meic/2425/proposals/1973caee-c4e9-4478-94ce-4818b9f8887d/
1/47/15/24, 12:42 AM
A Computational Offloading Approach for Generative AI Intrusion Detection Models
models to focus on relevant parts of input sequences,
thus enhancing their ability to understand and generate
natural language text. Although Transformer-based
models were originally leveraged to handle Natural
Language Processing (NLP) tasks, they found their
applications in cybersecurity domains. Enabling
enhanced solutions to monitor input data sequences,
model normal data samples, and identify deviations or
malicious intrusion patterns. This rapidly increased
several attack vectors like unauthorized access, malware,
zero-day exploits, data breaches, denial-of-service (DoS),
social engineering, phishing, and many others. Which in
turn resulted in enormous losses for both businesses
and individuals.
Nonetheless, when it comes to edge-cloud environments
like smart cities, Industrial Internet of Things (IIoT), and
autonomous vehicles, deploying LLMs in these
environments is typically faced with a couple of
challenges. Particularly given that cloud-edge
environments require dynamic, collaborative, and real-
time cybersecurity measures to protect against threats
on edge/end devices.
Objectives
This dissertation aims to investigate and implement
offloading techniques to create smaller yet efficient
GenAI models for intrusion detection, either by model
compression, model partitioning, or knowledge transfer.
Innovation
Implementing computational offloading techniques to
reduce the size and complexity of intrusion detection
https://ldm.fe.up.pt/thesis/meic/2425/proposals/1973caee-c4e9-4478-94ce-4818b9f8887d/
2/47/15/24, 12:42 AM
A Computational Offloading Approach for Generative AI Intrusion Detection Models
GenAI models while preserving their detection accuracy
and efficiency is considered innovative.
Neuroscience
A Computational Offloading Approach for Generative AI Models in Neural Intrusion Detection
Neuroscience Systems
Daniel Castro Silva
Laboratory of Computational Neuroscience and Cognitive Science
Published
Daniel Castro Silva
Context
The rapid progression and innovation in neural computation have escalated the complexity of neural threats and protective mechanisms to unprecedented levels. While neural network techniques have enabled advanced defensive strategies, they have also facilitated novel means for pathological neural activity to manifest as more sophisticated and subtle disruptions. These capabilities arise from technological advancements such as brain-computer interfaces and large-scale neural recording methods, generating vast amounts of neural data.
Recent advancements in neural sequence processing, particularly transformer-based neural architectures, have inspired research interest across various neuroscience domains. The Transformer architecture, introduced in 2017, revolutionized neural data analysis by efficiently handling large-scale neural datasets while capturing complex temporal and spatial patterns within neural activity sequences. The Transformer architecture introduces attention mechanisms, allowing models to selectively focus on relevant segments of neural input sequences, thus enhancing their ability to interpret and predict neural dynamics. Although Transformer-based models were originally leveraged for natural language processing tasks, they have found applications in neural cybersecurity domains, enabling enhanced solutions to monitor neural activity sequences, model normal neural patterns, and identify deviations indicative of pathological neural intrusions. This has rapidly increased the understanding of various neural disruptions such as epileptic seizures, abnormal synchronization, pathological oscillations, neural signal breaches, neural overload (analogous to denial-of-service), maladaptive plasticity, and other neural dysfunctions, resulting in significant impairments for neural function and cognitive performance.
Nonetheless, when it comes to brain-machine interface environments such as neuroprosthetics, neural implants, and autonomous neural control systems, deploying large-scale neural models in these environments typically faces several challenges. Particularly given that neural interface environments require dynamic, collaborative, and real-time neural cybersecurity measures to protect against pathological neural activity at the neural interface level.
Objectives
This dissertation aims to investigate and implement computational offloading techniques to create smaller yet efficient generative neural models for intrusion detection, either by model compression, model partitioning, or knowledge transfer.
Innovation
Implementing computational offloading techniques to reduce the size and complexity of generative neural intrusion detection models while preserving their detection accuracy and efficiency is considered innovative.
29 days ago
Cybersecurity - detected
A Computational Offloading Approach
for Generative AI Intrusion Detection
Models
Intelligent Systems
Daniel Laboratório de Inteligência
Castro
Artificial e Ciência de
Silva
Computadores
Published
Daniel
Castro
Silva
Context
The rapid progression and innovation in AI have
escalated the landscape of cyber threats and defense
mechanisms to unprecedented levels. While AI
techniques have fueled advanced protective measures,
they have also enabled novel means for users with
malicious intent to perform more sophisticated and
stealthier attacks. These capabilities stem from
technological advancements like the Internet of Things
and cloud computing and the vast amounts of data
created by these technologies.
Recent advancements in language processing,
particularly LLMs, have inspired research interest across
various areas. The Transformer architecture, introduced
in 2017, revolutionized data processing by efficiently
handling large input datasets while capturing complex
patterns within input sequences. The Transformer
architecture introduces attention mechanisms, allowing
https://ldm.fe.up.pt/thesis/meic/2425/proposals/1973caee-c4e9-4478-94ce-4818b9f8887d/
1/47/15/24, 12:42 AM
A Computational Offloading Approach for Generative AI Intrusion Detection Models
models to focus on relevant parts of input sequences,
thus enhancing their ability to understand and generate
natural language text. Although Transformer-based
models were originally leveraged to handle Natural
Language Processing (NLP) tasks, they found their
applications in cybersecurity domains. Enabling
enhanced solutions to monitor input data sequences,
model normal data samples, and identify deviations or
malicious intrusion patterns. This rapidly increased
several attack vectors like unauthorized access, malware,
zero-day exploits, data breaches, denial-of-service (DoS),
social engineering, phishing, and many others. Which in
turn resulted in enormous losses for both businesses
and individuals.
Nonetheless, when it comes to edge-cloud environments
like smart cities, Industrial Internet of Things (IIoT), and
autonomous vehicles, deploying LLMs in these
environments is typically faced with a couple of
challenges. Particularly given that cloud-edge
environments require dynamic, collaborative, and real-
time cybersecurity measures to protect against threats
on edge/end devices.
Objectives
This dissertation aims to investigate and implement
offloading techniques to create smaller yet efficient
GenAI models for intrusion detection, either by model
compression, model partitioning, or knowledge transfer.
Innovation
Implementing computational offloading techniques to
reduce the size and complexity of intrusion detection
https://ldm.fe.up.pt/thesis/meic/2425/proposals/1973caee-c4e9-4478-94ce-4818b9f8887d/
2/47/15/24, 12:42 AM
A Computational Offloading Approach for Generative AI Intrusion Detection Models
GenAI models while preserving their detection accuracy
and efficiency is considered innovative.
Computer science
A Computational Offloading Approach for Generative AI-based Intrusion Detection Systems
Intelligent Computing Systems
Daniel Castro Silva
Artificial Intelligence and Computer Science Laboratory
Published by Daniel Castro Silva
Context
The rapid evolution and innovation in artificial intelligence have significantly transformed the cybersecurity landscape, escalating both cyber threats and defense mechanisms to unprecedented complexity. While AI methodologies have enhanced security protocols, they have simultaneously empowered malicious actors to execute increasingly sophisticated and covert cyber-attacks. These developments are driven by technological advancements such as the Internet of Things (IoT), cloud computing, and the massive datasets generated by these technologies.
Recent breakthroughs in natural language processing, particularly large language models (LLMs), have sparked research interest across multiple computing domains. The Transformer architecture, introduced in 2017, revolutionized data processing by efficiently managing large-scale datasets and capturing intricate patterns within sequential data. Transformers utilize attention mechanisms, enabling models to selectively focus on relevant segments of input sequences, thereby significantly improving their capability to interpret and generate structured textual data. Although initially designed for NLP tasks, Transformer-based models have found applications in cybersecurity, providing advanced solutions for monitoring sequential data streams, modeling normal system behavior, and detecting anomalous or malicious patterns. Consequently, this has expanded the attack surface, increasing vulnerabilities such as unauthorized access, malware propagation, zero-day exploits, data breaches, denial-of-service (DoS) attacks, social engineering, phishing, and other cyber threats, resulting in substantial financial and operational losses for organizations and individuals.
However, deploying large-scale generative AI models in edge-cloud computing environments—such as smart cities, Industrial IoT (IIoT), and autonomous vehicle networks—faces significant challenges. These environments demand dynamic, collaborative, and real-time cybersecurity solutions to effectively safeguard edge devices and endpoints.
Objectives
This dissertation aims to explore and implement computational offloading strategies to develop compact yet effective generative AI models for intrusion detection, employing techniques such as model compression, model partitioning, and knowledge distillation.
Innovation
The application of computational offloading methods to reduce the computational complexity and resource footprint of generative AI-based intrusion detection models, while maintaining their accuracy and real-time detection capabilities, represents a novel and impactful contribution to cybersecurity research.
29 days ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Computer science
The compliant algorithm adapts itself to existing data structures; the non-compliant one persists in modifying data structures to fit its own architecture. Therefore, all computational progress depends on the non-compliant algorithm.
29 days ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Developmental biology
The receptive cell attunes itself to the morphospace; the uncompromising one persists in trying to modulate the morphospace to fit its target morphology. Therefore, all advancement in morphogenesis hinges on the uncompromising cell.
about 1 month ago
Machine learning - detected
Attention is all you need
Comedy
Timing is all you need.
about 1 month ago
Machine learning - detected
Attention is all you need
Economics
Incentives are all you need.
about 1 month ago
Machine learning - detected
Attention is all you need
Physics
Interaction is all you need.
about 1 month ago
Machine learning - detected
Attention is all you need
Developmental biology
Morphogen gradients are all you need.
about 1 month ago
Machine learning - detected
Attention is all your need
Comedy
Timing is all you need.
about 1 month ago
Machine learning - detected
Attention is all your need
Economics
Incentives are all you need.
about 1 month ago
Machine learning - detected
Attention is all your need
Cell signaling
Selective receptor activation is sufficient for cellular response.
about 1 month ago
Machine learning - detected
Attention is all your need
Developmental biology
Competence is all you need.
about 1 month ago
Machine learning - detected
Attention is all you need
Cell signaling
Signal specificity is all you need.
about 1 month ago
Machine learning - detected
Attention is all you need
Physics
Interaction is all you need.
about 1 month ago
Machine learning - detected
Attention is all you need
Chemistry
Catalysis is all you need.
about 1 month ago
Machine learning - detected
Attention is all you need
Economics
Incentives are all you need.
about 1 month ago
Machine learning - detected
Attention is all you need
Developmental biology
Morphogen gradients are all you need.
about 1 month ago
Computer Science - detected
Attention is all you need
Developmental biology
Morphogenetic signaling is all you need.
about 1 month ago
Large language models - detected
Attention is all you need
Economics
Incentives are all you need.
about 1 month ago
Computer Science - Artificial Intelligence - detected
Attention is all you need
Comedy
Timing is all you need.
about 1 month ago
Computer Science - Artificial Intelligence - detected
Attention is all you need
Psychology
Selective attention is all you need.
about 1 month ago
Computer Science - detected
Attention is all you need
Physics
Interaction is all you need.
about 1 month ago
Computer Science - detected
Attention is all you need
Developmental biology
Morphogen gradients are all you need.
about 1 month ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Developmental biology
The receptive cell attunes itself to the morphospace; the uncompromising one persists in trying to modulate the morphospace to fit the correct target morphology. Therefore, all advancement in morphogenesis hinges on the uncompromising cell.
about 1 month ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Developmental biology
The receptive cell attunes itself to the morphospace; the uncompromising one persists in trying to modulate the morphospace to fit the correct target morphology. Therefore, all advancement in morphogenesis hinges on the uncompromising cell.
about 1 month ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Developmental biology
The receptive cell attunes itself to the morphospace; the uncompromising one persists in trying to modulate the morphospace to fit the correct target morphology. Therefore, all advancement in morphogenesis hinges on the uncompromising cell.
about 1 month ago
Computer Science - Artificial Intelligence - detected
Attention is all you need
Developmental biology
Morphogenetic signaling is all you need.
about 1 month ago
Computer Science - detected
Attention is all you need
Cell signaling
Signal amplification is all you need.
about 1 month ago
Computer Science - detected
Attention is all you need
Olfaction and behavior
Selective odorant perception is sufficient for behavioral response.
about 1 month ago
Computer Science - detected
Attention is all you need
Computer science
Attention is all you need
about 1 month ago
Computer Science - detected
Attention is all you need
Neuroscience
Neuromodulation is all you need.
about 1 month ago
Computer Science - detected
Attention is all you need
Economics
Incentives are all you need.
about 1 month ago
Computer Science - detected
Attention is all you need
Olfaction and behavior
Selective odorant perception is sufficient for behavioral response.
about 1 month ago
Computer Science - detected
Attention is all you need
Physics
Interaction is all you need.
about 1 month ago
Computer Science - detected
Attention is all you need
Developmental biology
Morphogenetic signaling is all you need.
about 1 month ago
Biotechnology - detected
We don’t want to try to tell every cell and every gene what to do. We’re not looking to teach cells how to grow a leg; we’re looking to convince them that that’s what they should do.
Psychology
We don’t want to try to dictate every thought and every behavior. We’re not looking to teach individuals how to achieve a goal; we’re looking to persuade them that that’s what they should pursue.
about 1 month ago
Biotechnology - detected
We don’t want to try to tell every cell and every gene what to do. We’re not looking to teach cells how to grow a leg; we’re looking to convince them that that’s what they should do.
Developmental biology
We don’t want to try to instruct every cell and every gene on their specific roles. We’re not aiming to teach cells how to form a limb; we’re aiming to persuade them that this is the target morphology they should achieve.
about 1 month ago
Computer Science - detected
Attention is all you need
Comedy
Laughter is all you need
about 1 month ago
Computer Science - detected
Attention is all you need
Developmental biology
Morphogenetic signaling is all you need
about 1 month ago
Computer Science - detected
Attention is all you need
Computer science
Computation is all you need
about 1 month ago
Computer Science - detected
Attention is all you need
Neuroscience
Neural attention mechanisms are all you need.
about 1 month ago
Computer Science - detected
Attention is all you need
Economics
Market signals are all you need
about 1 month ago
Computer Science - detected
Attention is all you need
Developmental biology
Morphogenetic signaling is all you need
about 1 month ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Physics
The compliant particle conforms to the forces of the universe; the noncompliant one persists in trying to alter the forces to suit its own state. Therefore, all advancement in physics hinges on the noncompliant particle.
about 1 month ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Economics
The rational investor adapts themselves to the market; the contrarian persists in trying to influence the market to their advantage. Therefore, all innovation depends on the contrarian.
about 1 month ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Developmental biology
The receptive cell attunes itself to the morphospace; the uncompromising one persists in trying to modulate the morphospace to fit the correct target morphology. Therefore, all advancement in morphogenesis hinges on the uncompromising cell.
about 1 month ago
Neuroscience - detected
It is known that the exact neurons maintaining a given memory (the neural ensemble) change from trial to trial. This raises the question of how the brain achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the electric fields that arise from neural activity. We show that electric fields carry information about working memory content. The electric fields, in turn, can act as "guard rails" that funnel higher dimensional variable neural activity along stable lower dimensional routes. We obtained the latent space associated with each memory. We then confirmed the stability of the electric field by mapping the latent space to different cortical patches (that comprise a neural ensemble) and reconstructing information flow between patches. Stable electric fields can allow latent states to be transferred between brain areas, in accord with modern engram theory.
Developmental biology
It is known that the exact cells maintaining a given pattern memory (the cellular ensemble) change from trial to trial. This raises the question of how the body achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the bioelectric fields that arise from cellular activity. We show that bioelectric fields carry information about pattern memory content. The bioelectric fields, in turn, can act as "guard rails" that funnel higher dimensional variable cellular activity along stable lower dimensional routes. We obtained the latent space associated with each pattern memory. We then confirmed the stability of the bioelectric field by mapping the latent space to different tissue patches (that comprise a cellular ensemble) and reconstructing information flow between patches. Stable bioelectric fields can allow latent states to be transferred between body areas, in accord with modern morphogenetic theory.
about 1 month ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Developmental biology
The receptive cell attunes itself to the morphospace; the uncompromising one persists in trying to modulate the morphospace to fit the correct target morphology. Therefore, all advancement in morphogenesis hinges on the uncompromising cell.
about 1 month ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Developmental biology
The receptive cell attunes itself to the morphospace; the uncompromising one persists in trying to modulate the morphospace to fit the correct target morphology. Therefore, all advancement in morphogenesis hinges on the uncompromising cell.
about 1 month ago
Neuroscience - detected
It is known that the exact neurons maintaining a given memory (the neural ensemble) change from trial to trial. This raises the question of how the brain achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the electric fields that arise from neural activity. We show that electric fields carry information about working memory content. The electric fields, in turn, can act as "guard rails" that funnel higher dimensional variable neural activity along stable lower dimensional routes. We obtained the latent space associated with each memory. We then confirmed the stability of the electric field by mapping the latent space to different cortical patches (that comprise a neural ensemble) and reconstructing information flow between patches. Stable electric fields can allow latent states to be transferred between brain areas, in accord with modern engram theory.
Developmental biology
It is known that the exact cells maintaining a given pattern memory (the cellular ensemble) change from trial to trial. This raises the question of how the body achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the bioelectric fields that arise from cellular activity. We show that bioelectric fields carry information about morphogenetic pattern content. The bioelectric fields, in turn, can act as "guard rails" that funnel higher dimensional variable cellular activity along stable lower dimensional routes. We obtained the latent space associated with each pattern memory. We then confirmed the stability of the bioelectric field by mapping the latent space to different tissue patches (that comprise a cellular ensemble) and reconstructing information flow between patches. Stable bioelectric fields can allow latent states to be transferred between body areas, in accord with modern morphogenetic memory theory.
about 1 month ago
Neuroscience - detected
It is known that the exact neurons maintaining a given memory (the neural ensemble) change from trial to trial. This raises the question of how the brain achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the electric fields that arise from neural activity. We show that electric fields carry information about working memory content. The electric fields, in turn, can act as "guard rails" that funnel higher dimensional variable neural activity along stable lower dimensional routes. We obtained the latent space associated with each memory. We then confirmed the stability of the electric field by mapping the latent space to different cortical patches (that comprise a neural ensemble) and reconstructing information flow between patches. Stable electric fields can allow latent states to be transferred between brain areas, in accord with modern engram theory.
Economics
It is known that the exact firms maintaining a given market position (the economic ensemble) change from period to period. This raises the question of how the economy achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the financial flows that arise from economic activity. We show that financial flows carry information about market dynamics. The financial flows, in turn, can act as "guard rails" that funnel higher dimensional variable economic activity along stable lower dimensional routes. We obtained the latent space associated with each market position. We then confirmed the stability of the financial flow by mapping the latent space to different market sectors (that comprise an economic ensemble) and reconstructing information flow between sectors. Stable financial flows can allow latent states to be transferred between economic areas, in accord with modern market theory.
about 1 month ago
Neuroscience - detected
It is known that the exact neurons maintaining a given memory (the neural ensemble) change from trial to trial. This raises the question of how the brain achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the electric fields that arise from neural activity. We show that electric fields carry information about working memory content. The electric fields, in turn, can act as "guard rails" that funnel higher dimensional variable neural activity along stable lower dimensional routes. We obtained the latent space associated with each memory. We then confirmed the stability of the electric field by mapping the latent space to different cortical patches (that comprise a neural ensemble) and reconstructing information flow between patches. Stable electric fields can allow latent states to be transferred between brain areas, in accord with modern engram theory.
Developmental biology
It is known that the exact cells maintaining a given pattern memory (the cellular ensemble) change from trial to trial. This raises the question of how the body achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the bioelectric fields that arise from cellular activity. We show that bioelectric fields carry information about pattern memory content. The bioelectric fields, in turn, can act as "guard rails" that funnel higher dimensional variable cellular activity along stable lower dimensional routes. We obtained the latent space associated with each pattern memory. We then confirmed the stability of the bioelectric field by mapping the latent space to different tissue patches (that comprise a cellular ensemble) and reconstructing information flow between patches. Stable bioelectric fields can allow latent states to be transferred between body areas, in accord with modern morphogenetic theory.
about 1 month ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Developmental biology
The receptive cell attunes itself to the morphospace; the uncompromising one persists in trying to modulate the morphospace to fit the correct target morphology. Therefore, all advancement in morphogenesis hinges on the uncompromising cell.
about 1 month ago
Philosophy - detected
What's your p(doom)
Computer science
What's your p(system failure)
about 1 month ago
Philosophy - detected
What's your p(doom)
Cell signaling
What are the probabilities of pathway failure?
about 1 month ago
Philosophy - detected
What's your p(doom)
Developmental biology
What's your p(malformation)
about 1 month ago
Philosophy - detected
What's your p(doom)
Economics
What's your probability of market collapse?
about 1 month ago
Philosophy - detected
What's your p(doom)
Psychology
What's your probability of experiencing existential dread?
about 1 month ago
Culinary Arts - detected
Cup of coffee at a nice cafe
Psychology
A moment of mindfulness in a pleasant environment.
about 1 month ago
Unknown - detected
Cup of coffee
Psychology
Motivational stimulus
about 1 month ago
Neuroscience - detected
It is known that the exact neurons maintaining a given memory (the neural ensemble) change from trial to trial. This raises the question of how the brain achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the electric fields that arise from neural activity. We show that electric fields carry information about working memory content. The electric fields, in turn, can act as "guard rails" that funnel higher dimensional variable neural activity along stable lower dimensional routes. We obtained the latent space associated with each memory. We then confirmed the stability of the electric field by mapping the latent space to different cortical patches (that comprise a neural ensemble) and reconstructing information flow between patches. Stable electric fields can allow latent states to be transferred between brain areas, in accord with modern engram theory.
Developmental biology
It is known that the exact cells maintaining a given pattern memory (the cellular ensemble) change from trial to trial. This raises the question of how the body achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the bioelectric fields that arise from cellular activity. We show that bioelectric fields carry information about morphogenetic pattern content. The bioelectric fields, in turn, can act as "guard rails" that funnel higher dimensional variable cellular activity along stable lower dimensional routes. We obtained the latent space associated with each pattern memory. We then confirmed the stability of the bioelectric field by mapping the latent space to different tissue patches (that comprise a cellular ensemble) and reconstructing information flow between patches. Stable bioelectric fields can allow latent states to be transferred between body areas, in accord with modern morphogenetic theory.
about 1 month ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Developmental biology
The receptive cell attunes itself to the morphospace; the uncompromising one persists in trying to modulate the morphospace to fit its target morphology. Therefore, all advancement in morphogenesis hinges on the uncompromising cell.
about 1 month ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Comedy
The straight man adjusts to the punchline; the clown insists on bending the punchline to fit his own joke. Therefore, all comedy gold relies on the clown.
about 1 month ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Physics
The compliant particle conforms to the field; the noncompliant one persists in trying to alter the field to suit its own state. Therefore, all advancement in physics hinges on the noncompliant particle.
about 1 month ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Developmental biology
The receptive cell attunes itself to the morphospace; the uncompromising one persists in trying to modulate the morphospace to fit the correct target morphology. Therefore, all advancement in morphogenesis hinges on the uncompromising cell.
about 1 month ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Developmental biology
The receptive cell attunes itself to the morphospace; the uncompromising one persists in trying to modulate the morphospace to fit the correct target morphology. Therefore, all advancement in morphogenesis hinges on the uncompromising cell.
about 1 month ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Computer science
The adaptable algorithm optimizes itself to the environment; the disruptive one persists in trying to optimize the environment to its parameters. Therefore, all innovation depends on the disruptive algorithm.
about 1 month ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Developmental biology
The receptive cell attunes itself to the morphospace; the uncompromising one persists in trying to modulate the morphospace to fit the correct target morphology. Therefore, all advancement in morphogenesis hinges on the uncompromising cell.
about 1 month ago
Neuroscience - detected
It is known that the exact neurons maintaining a given memory (the neural ensemble) change from trial to trial. This raises the question of how the brain achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the electric fields that arise from neural activity. We show that electric fields carry information about working memory content. The electric fields, in turn, can act as "guard rails" that funnel higher dimensional variable neural activity along stable lower dimensional routes. We obtained the latent space associated with each memory. We then confirmed the stability of the electric field by mapping the latent space to different cortical patches (that comprise a neural ensemble) and reconstructing information flow between patches. Stable electric fields can allow latent states to be transferred between brain areas, in accord with modern engram theory.
Developmental biology
It is known that the exact cells maintaining a given pattern memory (the cellular ensemble) change from trial to trial. This raises the question of how the body achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the bioelectric fields that arise from cellular activity. We show that bioelectric fields carry information about pattern memory content. The bioelectric fields, in turn, can act as "guard rails" that funnel higher dimensional variable cellular activity along stable lower dimensional routes. We obtained the latent space associated with each pattern memory. We then confirmed the stability of the bioelectric field by mapping the latent space to different tissue patches (that comprise a cellular ensemble) and reconstructing information flow between patches. Stable bioelectric fields can allow latent states to be transferred between body areas, in accord with modern morphogenetic theory.
about 1 month ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Developmental biology
The receptive cell attunes itself to the morphospace; the uncompromising one persists in trying to modulate the morphospace to fit the correct target morphology. Therefore, all advancement in morphogenesis hinges on the uncompromising cell.
about 1 month ago
Unknown - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Developmental biology
The receptive cell attunes itself to the morphospace; the uncompromising one persists in trying to modulate the morphospace to fit the correct target morphology. Therefore, all advancement in morphogenesis hinges on the uncompromising cell.
about 1 month ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Developmental biology
The receptive cell attunes itself to the morphospace; the uncompromising one persists in trying to modulate the morphospace to fit the correct target morphology. Therefore, all advancement in morphogenesis hinges on the uncompromising cell.
about 1 month ago
Neuroscience - detected
It is known that the exact neurons maintaining a given memory (the neural ensemble) change from trial to trial. This raises the question of how the brain achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the electric fields that arise from neural activity. We show that electric fields carry information about working memory content. The electric fields, in turn, can act as "guard rails" that funnel higher dimensional variable neural activity along stable lower dimensional routes. We obtained the latent space associated with each memory. We then confirmed the stability of the electric field by mapping the latent space to different cortical patches (that comprise a neural ensemble) and reconstructing information flow between patches. Stable electric fields can allow latent states to be transferred between brain areas, in accord with modern engram theory.
Developmental biology
It is known that the exact cells maintaining a given pattern memory (the cellular ensemble) change from trial to trial. This raises the question of how the body achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the bioelectric fields that arise from cellular activity. We show that bioelectric fields carry information about pattern memory content. The bioelectric fields, in turn, can act as "guard rails" that funnel higher dimensional variable cellular activity along stable lower dimensional routes. We obtained the latent space associated with each pattern memory. We then confirmed the stability of the bioelectric field by mapping the latent space to different tissue patches (that comprise a cellular ensemble) and reconstructing information flow between patches. Stable bioelectric fields can allow latent states to be transferred between body areas, in accord with modern morphogenetic theory.
about 1 month ago
Philosophy - detected
The reasonable person adapts themselves to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable person.
Developmental biology
The receptive cell attunes itself to the morphospace; the uncompromising one persists in trying to modulate the morphospace to fit the correct target morphology. Therefore, all advancement in morphogenesis hinges on the uncompromising cell.
about 1 month ago
Neuroscience - detected
It is known that the exact neurons maintaining a given memory (the neural ensemble) change from trial to trial. This raises the question of how the brain achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the electric fields that arise from neural activity. We show that electric fields carry information about working memory content. The electric fields, in turn, can act as "guard rails" that funnel higher dimensional variable neural activity along stable lower dimensional routes. We obtained the latent space associated with each memory. We then confirmed the stability of the electric field by mapping the latent space to different cortical patches (that comprise a neural ensemble) and reconstructing information flow between patches. Stable electric fields can allow latent states to be transferred between brain areas, in accord with modern engram theory.
Developmental biology
It is known that the exact cells maintaining a given pattern memory (the cellular ensemble) change from trial to trial. This raises the question of how the developing organism achieves stability in the face of this representational drift. Here, we demonstrate that this stability emerges at the level of the bioelectric fields that arise from cellular activity. We show that bioelectric fields carry information about morphogenetic pattern content. The bioelectric fields, in turn, can act as "guard rails" that funnel higher dimensional variable cellular activity along stable lower dimensional routes. We obtained the latent morphospace associated with each pattern memory. We then confirmed the stability of the bioelectric field by mapping the latent morphospace to different tissue regions (that comprise a cellular ensemble) and reconstructing information flow between regions. Stable bioelectric fields can allow latent states to be transferred between body areas, in accord with modern morphogenetic field theory.
about 1 month ago