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We investigate states of enhanced activity in a biological neuronal network composed of pulse-coupled oscillators. The synaptic couplings between the neurons are dynamic, modeling spike time dependent plasticity. The network exhibits…

无序系统与神经网络 · 物理学 2012-08-17 Daniel Ritterskamp , Rudolf Friedrich

We propose that a regulation mechanism based on Hebbian covariance plasticity may cause the brain to operate near criticality. We analyze the effect of such a regulation on the dynamics of a network with excitatory and inhibitory neurons…

神经与进化计算 · 计算机科学 2007-05-23 Elie Bienenstock , Daniel Lehmann

Population-wide oscillations are ubiquitously observed in mesoscopic signals of cortical activity. In these network states a global oscillatory cycle modulates the propensity of neurons to fire. Synchronous activation of neurons has been…

神经元与认知 · 定量生物学 2017-07-04 Tobias Kühn , Moritz Helias

Cell signaling, gene expression, and metabolism are affected by cell-cell heterogeneity and random changes in the environment. The effects of such fluctuations on cell signaling and gene expression have recently been studied intensively…

生物物理 · 物理学 2015-04-02 A. -K. Gustavsson , C. B. Adiels , B. Mehlig , M. Goksör

Intrinsic brain activity is characterized by highly structured co-activations between different regions, whose origin is still under debate. In this paper, we address the question whether it is possible to unveil how the underlying…

Correlation-based Hebbian plasticity is thought to shape neuronal connectivity during development and learning, whereas homeostatic plasticity would stabilize network activity. Here we investigate another, new aspect of this dichotomy: Can…

神经元与认知 · 定量生物学 2018-03-02 Júlia V Gallinaro , Stefan Rotter

Large networks of spiking neurons show abrupt changes in their collective dynamics resembling phase transitions studied in statistical physics. An example of this phenomenon is the transition from irregular, noise-driven dynamics to…

适应与自组织系统 · 物理学 2008-11-25 Vicenç Gómez , Andreas Kaltenbrunner , Vicente López , Hilbert J. Kappen

In the mammalian brain, newly acquired memories depend on the hippocampus for maintenance and recall, but over time the neocortex takes over these functions, rendering memories hippocampus-independent. The process responsible for this…

神经元与认知 · 定量生物学 2021-07-02 Peter Helfer , Thomas R. Shultz

Learning and memory relies on synapses changing their strengths in response to neural activity. However there is a substantial gap between the timescales of neural electrical dynamics (1-100 ms) and organism behaviour during learning…

神经元与认知 · 定量生物学 2023-08-08 Cian O'Donnell

Macroscopic studies of cortical tissue reveal a prevalence of oscillatory activity, that reflect a fine tuning of neural interactions. This research extends neural field theories by incorporating generalized oscillatory dynamics into…

神经元与认知 · 定量生物学 2024-10-23 Gerald K. Cooray , Vernon Cooray , Karl J. Friston

Active cell-junction remodeling is important for tissue morphogenesis, yet its underlying physics is not understood. We study a mechanical model that describes junctions as dynamic active force dipoles. Their instability can trigger cell…

软凝聚态物质 · 物理学 2021-11-17 Matej Krajnc , Tomer Stern , Clement Zankoc

The interplay between activity and elasticity often found in active and living systems triggers a plethora of autonomous behaviors ranging from self-assembly and collective motion to actuation. Amongst these, spontaneous self-oscillations…

软凝聚态物质 · 物理学 2023-04-07 Ellen Zheng , Martin Brandenbourger , Louis Robinet , Peter Schall , Edan Lerner , Corentin Coulais

Neural circuits exhibit remarkable computational flexibility, enabling adaptive responses to noisy and ever-changing environmental cues. A fundamental question in neuroscience concerns how a wide range of behaviors can emerge from a…

统计力学 · 物理学 2025-09-18 Giacomo Barzon , Daniel M. Busiello , Giorgio Nicoletti

The distinct timescales of synaptic plasticity and neural activity dynamics play an important role in the brain's learning and memory systems. Activity-dependent plasticity reshapes neural circuit architecture, determining spontaneous and…

神经元与认知 · 定量生物学 2023-06-30 Heather L Cihak , Zachary P Kilpatrick

Increasing experimental evidence suggests that axonal action potential conduction velocity is a highly adaptive parameter in the adult central nervous system. Yet, the effects of this newfound plasticity on global brain dynamics is poorly…

神经元与认知 · 定量生物学 2019-03-26 Vladimir A. Ivanov , Ioannis E. Polykretis , Konstantinos P. Michmizos

Brain plasticity refers to brain's ability to change neuronal connections, as a result of environmental stimuli, new experiences, or damage. In this work, we study the effects of the synaptic delay on both the coupling strengths and…

Neural oscillations are universal phenomena and can be observed at different levels of neural systems, from single neuron to macroscopic brain. The frequency of those oscillations are related to the brain functions. However, little is know…

神经元与认知 · 定量生物学 2015-07-30 Lianchun Yu , Longfei Wang , Fei Jia , Duojie Jia

Recent advancements in measurement techniques have resulted in an increasing amount of data on neural activities recorded in parallel, revealing largely heterogeneous correlation patterns across neurons. Yet, the mechanistic origin of this…

无序系统与神经网络 · 物理学 2024-04-26 Moritz Layer , Moritz Helias , David Dahmen

Neural systems face the challenge of maintaining reliable representations amid variations from plasticity and spontaneous activity. In particular, the spontaneous dynamics in neuronal circuit is known to operate near a highly variable…

神经元与认知 · 定量生物学 2026-03-24 Zhuda Yang , Junhao Liang , Wing Ho Yung , Changsong Zhou

Our mysterious brain is believed to operate near a non-equilibrium point and generate critical self-organized avalanches in neuronal activity. Recent experimental evidence has revealed significant heterogeneity in both synaptic input and…

神经元与认知 · 定量生物学 2018-07-12 Shengdun Wu , Yangsong Zhang , Yan Cui , Heng Li , Jiakang Wang , Lijun Guo , Yang Xia , Dezhong Yao , Peng Xu , Daqing Guo