Thalamocortical Assemblies

Oxford University Press eBooks, Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 13, 2023

Abstract Thalamocortical Assemblies: Sleep Spindles, Slow Waves, & Epileptic Discharges explores the underlying neural mechanisms involved in generating low-frequency oscillations through interacting assemblies thalamus and cortex. During sleep, mammalian brain generates an orderly progression of as moves from sleep onset into deep sleep. Moreover, are consolidation experiences long-term memory during Assemblies overviews properties ion channels, synaptic interactions, intrinsic cellular biophysical models local circuits distributed networks. It also tackles key spindles how they hijacked by epileptic seizures.

Language: Английский

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The Digital Twin Brain: A Bridge between Biological and Artificial Intelligence

Intelligent Computing, Journal Year: 2023, Volume and Issue: 2

Published: Jan. 1, 2023

In recent years, advances in neuroscience and artificial intelligence have paved the way for unprecedented opportunities to understand complexity of brain its emulation using computational systems. Cutting-edge advancements research revealed intricate relationship between structure function, success neural networks has highlighted importance network architecture. It is now time bring these together better how emerges from multiscale repositories brain. this article, we propose Digital Twin Brain (DTB)—a transformative platform that bridges gap biological intelligence. comprises three core elements: structure, which fundamental twinning process, bottom-layer models generating functions, wide spectrum applications. Crucially, atlases provide a vital constraint preserves brain’s organization within DTB. Furthermore, highlight open questions invite joint efforts interdisciplinary fields emphasize far-reaching implications The DTB can offer insights into emergence neurological disorders, holds tremendous promise advancing our understanding both intelligence, ultimately propel development general facilitate precision mental healthcare.

Language: Английский

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From phenomenological to biophysical models of seizures

Neurobiology of Disease, Journal Year: 2023, Volume and Issue: 182, P. 106131 - 106131

Published: April 21, 2023

Epilepsy is a complex disease that requires various approaches for its study. This short review discusses the contribution of theoretical and computational models. The presents frameworks underlie understanding certain seizure properties their classification based on dynamical at onset offset seizures. Dynamical system tools are valuable resources in study These can provide insights into mechanisms offer framework classification, by analyzing complex, dynamic behavior Additionally, models have high potential clinical applications, as they be used to develop more accurate diagnostic personalized medicine tools. We discuss modeling span different scales levels, while also questioning neurocentric view, emphasizing importance considering glial cells. Finally, we explore epistemic value provided this type approach.

Language: Английский

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Microscale Neuronal Activity Collectively Drives Chaotic and Inflexible Dynamics at the Macroscale in Seizures

Journal of Neuroscience, Journal Year: 2023, Volume and Issue: 43(18), P. 3259 - 3283

Published: April 5, 2023

Neuronal activity propagates through the network during seizures, engaging brain dynamics at multiple scales. Such propagating events can be described avalanches framework, which relate spatiotemporal microscale with global properties. Interestingly, in healthy networks are indicative of critical dynamics, where is organized to a phase transition, optimizes certain computational Some have hypothesized that pathologic epileptic seizures an emergent property neuronal collectively driving away from criticality. Demonstrating this would provide unifying mechanism linking dysfunction seizures. Here, we investigated effect drug-induced on avalanche using

Language: Английский

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Modeling impairment of ionic regulation with extended Adaptive Exponential integrate-and-fire models

Journal of Computational Neuroscience, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 23, 2025

Language: Английский

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Biophysically inspired mean-field model of neuronal populations driven by ion exchange mechanisms

Published: Feb. 3, 2025

Whole-brain simulations are a valuable tool for gaining insight into the multiscale processes that regulate brain activity. Due to complexity of brain, it is impractical include all microscopic details in simulation. Hence, researchers often simulate as network coupled neural masses, each described by mean-field model. These models capture essential features neuronal populations while approximating most biophysical details. However, may be important certain parameters significantly impact function. The concentration ions extracellular space one key factor consider, its fluctuations can associated with healthy and pathological states. In this paper, we develop new model population Hodgkin–Huxley-type neurons, retaining perspective on ion-exchange mechanisms driving This allows us maintain interpretability bridging gap between micro- macro-scale mechanisms. Our able reproduce wide range activity patterns, also observed large simulations. Specifically, slow-changing ion concentrations modulate fast neuroelectric activity, feature our validated through vitro experiments. By studying how changes ionic conditions affect whole-brain dynamics, serves foundation measure biomarkers provide potential therapeutic targets cases dysfunctions like epilepsy.

Language: Английский

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Biophysically inspired mean-field model of neuronal populations driven by ion exchange mechanisms

Published: Feb. 3, 2025

Whole-brain simulations are a valuable tool for gaining insight into the multiscale processes that regulate brain activity. Due to complexity of brain, it is impractical include all microscopic details in simulation. Hence, researchers often simulate as network coupled neural masses, each described by mean-field model. These models capture essential features neuronal populations while approximating most biophysical details. However, may be important certain parameters significantly impact function. The concentration ions extracellular space one key factor consider, its fluctuations can associated with healthy and pathological states. In this paper, we develop new model population Hodgkin–Huxley-type neurons, retaining perspective on ion-exchange mechanisms driving This allows us maintain interpretability bridging gap between micro- macro-scale mechanisms. Our able reproduce wide range activity patterns, also observed large simulations. Specifically, slow-changing ion concentrations modulate fast neuroelectric activity, feature our validated through vitro experiments. By studying how changes ionic conditions affect whole-brain dynamics, serves foundation measure biomarkers provide potential therapeutic targets cases dysfunctions like epilepsy.

Language: Английский

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Biophysically inspired mean-field model of neuronal populations driven by ion exchange mechanisms

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2021, Volume and Issue: unknown

Published: Nov. 1, 2021

Whole-brain simulations are a valuable tool for gaining insight into the multiscale processes that regulate brain activity. Due to complexity of brain, it is impractical include all microscopic details in simulation. Hence, researchers often simulate as network coupled neural masses, each described by mean-field model. These models capture essential features neuronal populations while approximating most biophysical details. However, may be important certain parameters significantly impact function. The concentration ions extracellular space one key factor consider, its fluctuations can associated with healthy and pathological states. In this paper, we develop new model population Hodgkin-Huxley-type neurons, retaining perspective on ion-exchange mechanisms driving This allows us maintain interpretability bridging gap between micro macro-scale mechanisms. Our able reproduce wide range activity patterns, also observed large simulations. Specifically, slow-changing ion concentrations modulate fast neuroelectric activity, feature our validated through vitro experiments. By studying how changes ionic conditions affect whole-brain dynamics, serves foundation measure biomarkers provide potential therapeutic targets cases dysfunctions like epilepsy.

Language: Английский

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Exploring Kainic Acid-Induced Alterations in Circular Tripartite Networks with Advanced Analysis Tools

eNeuro, Journal Year: 2024, Volume and Issue: 11(7), P. ENEURO.0035 - 24.2024

Published: July 1, 2024

Brain activity implies the orchestrated functioning of interconnected brain regions. Typical in vitro models aim to mimic using single human pluripotent stem cell-derived neuronal networks. However, field is constantly evolving model functions more accurately through use new paradigms, e.g., brain-on-a-chip with compartmentalized structures and integrated sensors. These methods create novel data requiring complex analysis approaches. The previously introduced circular tripartite network concept connectivity between spatially diverse structures. consists a microfluidic device allowing axonal separated networks an embedded microelectrode array record both local global electrophysiological patterns closed circuitry. existing tools are suboptimal for produced this model. Here, we introduce advanced synchronization functional assessment. We used our custom-designed assess interrelations kainic acid (KA)-exposed proximal compartment its nonexposed distal neighbors before after KA. Novel multilevel circuitry bursting were detected analyzed parallel inter- intracompartmental connectivity. effect KA on was captured, spread compartments revealed. induced divergent changes behaviors, which may be explained by distinct baseline varied intra- intercompartmental strengths. combined developed advances importantly face construct validity modeling epilepsy vitro.

Language: Английский

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Concept of consciousness transfer: creative and scientific research

Semiotic studies, Journal Year: 2023, Volume and Issue: 3(1), P. 21 - 26

Published: April 25, 2023

The article analyzes the use of consciousness transfer concept in literature, cinema and science. Both techno-pessimism techno-optimism are shown to be associated with idea. main reasons for desire characters intention technology, which is also termed as breakdown phenomenon, demonstrated through example LitRPG subgenre science fiction films. It typical novels screen demonstrate both positive negative consequences transfer, but attitude towards possibility itself predominantly positive. Unlike many theories, far from becoming reality, several major scientific projects already working on mind transfer. However, existing implementing technology more often involved solving particular problems individual brain diseases, or exploring social humanitarian developing virtual reality generally human presence it particularly. concluded that modern literature cinema, has turned into a myth about generated by dream omnipotence, combined pessimistic idea morality society unity. Furthermore, this reflects substantial part life being inside digital reality.

Language: Английский

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