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Using an exactly solvable cortical model of a neuronal network, we show that, by increasing the intensity of shot noise (flow of random spikes bombarding neurons), the network undergoes first- and second-order non-equilibrium phase…

生物物理 · 物理学 2015-08-26 K. -E. Lee , M. A. Lopes , A. V. Goltsev

Brain rhythms contribute to every aspect of brain function. Here, we study critical and resonance phenomena that precede the emergence of brain rhythms. Using an analytical approach and simulations of a cortical circuit model of neural…

无序系统与神经网络 · 物理学 2015-06-12 A. V. Goltsev , M. A. Lopes , K. -E. Lee , J. F. F. Mendes

Many experimental results, both in-vivo and in-vitro, support the idea that the brain cortex operates near a critical point, and at the same time works as a reservoir of precise spatio-temporal patterns. However the mechanism at the basis…

神经元与认知 · 定量生物学 2019-06-14 S. Scarpetta , I. Apicella , L. Minati , A. de Candia

Cortical neural circuits display highly irregular spiking in individual neurons but variably sized collective firing, oscillations and critical avalanches at the population level, all of which have functional importance for information…

无序系统与神经网络 · 物理学 2021-01-08 Junhao Liang , Tianshou Zhou , Changsong Zhou

We propose a neuronal network model which undergoes a saddle-node bifurcation on an invariant circle as the mechanism of the transition from the interictal to the ictal (seizure) state. In the vicinity of this transition, the model captures…

神经元与认知 · 定量生物学 2017-12-27 Marinho A. Lopes , KyoungEun Lee , Alexander V. Goltsev

Information processing in the brain crucially depends on encoding properties of single neurons, with particular relevance of the spike-generation mechanism. The latter hinges upon the bifurcation type at the transition point between resting…

神经元与认知 · 定量生物学 2017-05-10 Janina Hesse , Jan-Hendrik Schleimer , Susanne Schreiber

Phase transitions and critical behavior are crucial issues both in theoretical and experimental neuroscience. We report analytic and computational results about phase transitions and self-organized criticality (SOC) in networks with general…

适应与自组织系统 · 物理学 2016-10-07 L. Brochini , A. A. Costa , M. Abadi , A. C. Roque , J. Stolfi , O. Kinouchi

Networks of stochastic spiking neurons are interesting models in the area of Theoretical Neuroscience, presenting both continuous and discontinuous phase transitions. Here we study fully connected networks analytically, numerically and by…

适应与自组织系统 · 物理学 2017-10-16 Ariadne A. Costa , Ludmila Brochini , Osame Kinouchi

In neurosciences, the brain processes information via the firing patterns of connected neurons operating across a spectrum of frequencies. To better understand the effects of these frequencies in the neuron dynamics, we have simulated a…

神经元与认知 · 定量生物学 2025-11-21 Gabriel Marghoti , Thiago L. Prado , Miguel A. F. Sanjuán , Sergio R. Lopes

Recent experimental observations have supported the hypothesis that the cerebral cortex operates in a dynamical regime near criticality, where the neuronal network exhibits a mixture of ordered and disordered patterns. However, A…

神经元与认知 · 定量生物学 2023-09-08 Longbin Zeng , Fengjian Feng , Wenlian Lu

We investigate spontaneous critical dynamics of excitatory and inhibitory (EI) sparsely connected populations of spiking leaky integrate-and-fire neurons with conductance-based synapses. We use a bottom-up approach to derive a single neuron…

生物物理 · 物理学 2022-04-05 Masud Ehsani , Jürgen Jost

Spontaneous cortical population activity exhibits a multitude of oscillatory patterns, which often display synchrony during slow-wave sleep or under certain anesthetics and stay asynchronous during quiet wakefulness. The mechanisms behind…

神经元与认知 · 定量生物学 2018-06-20 Rodrigo F. O. Pena , Michael A. Zaks , Antonio C. Roque

The activity generated by an ensemble of neurons is affected by various noise sources. It is a well-recognised challenge to understand the effects of noise on the stability of such networks. We demonstrate that the patterns of activity…

偏微分方程分析 · 数学 2022-05-19 Jose A. Carrillo , Helge Holden , Susanne Solem

Self-sustained subthreshold oscillations in a discrete-time model of neuronal behavior are considered. We discuss bifurcation scenarios explaining the birth of these oscillations and their transformation into tonic spikes. Specific features…

细胞行为 · 定量生物学 2009-11-10 Andrey L. Shilnikov , Nikolai F. Rulkov

Neuronal voltage dynamics of regularly firing neurons typically has one stable attractor: either a fixed point (like in the subthreshold regime) or a limit cycle that defines the tonic firing of action potentials (in the suprathreshold…

神经元与认知 · 定量生物学 2021-01-20 Jan-Hendrik Schleimer , Janina Hesse , Susana Andrea Contreras , Susanne Schreiber

First return maps of interspike intervals for biological neurons that generate repetitive bursts of impulses can display stereotyped structures (neuronal signatures). Such structures have been linked to the possibility of multicoding and…

神经元与认知 · 定量生物学 2015-06-22 Bóris Marin , Reynaldo Daniel Pinto , Robert C Elson , Eduardo Colli

Bursting is a periodic transition between a quiescent state and a state of repetitive spiking. The phenomenon is ubiquitous in a variety of neurophysical systems. We numerically study the dynamical properties of a normal form of subcritical…

混沌动力学 · 物理学 2007-05-23 Gautam C Sethia , Abhijit Sen

Intermittent transitions, associated with critical dynamics and characterized by power-law distributions, are commonly observed during sleep. These critical behaviors are evident at the microscopic level through neuronal avalanches and at…

物理与社会 · 物理学 2025-03-28 Xiyun Zhang , Bojun Wang , Hongjie Bi

We consider a heterogeneous, globally coupled population of excitatory quadratic integrate-and-fire neurons with excitability adaptation due to a metabolic feedback associated with ketogenic diet, a form of therapy for epilepsy. Bifurcation…

适应与自组织系统 · 物理学 2024-05-29 Sebastian Eydam , Igor Franović , Louis Kang

This article investigates the emergence of phase synchronization in a network of randomly connected neurons by chemical synapses. The study uses the classic Hodgkin-Huxley model to simulate the neuronal dynamics under the action of a train…

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