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相关论文: Modeling rhythmic patterns in the hippocampus

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Exact firing rate models, also known as next-generation neural mass models (NG-NMMs), provide a rigorous description of the dynamics of neural populations. While in its simplest form a single population only displays fixed-point activity,…

混沌动力学 · 物理学 2026-05-18 Pau Clusella

We investigate spatio-temporal patterns occurring in a two-layer multiplex network of oscillatory FitzHugh-Nagumo neurons, where each layer is represented by a nonlocally coupled ring. We show that weak multiplexing, i.e., when the coupling…

混沌动力学 · 物理学 2019-03-27 Maria Mikhaylenko , Lukas Ramlow , Sarika Jalan , Anna Zakharova

Hippocampal place and time cells encode spatial and temporal aspects of experience. Both have the same neural substrate, but have been modeled as having different functions and mechanistic origins, place cells as continuous attractors, and…

神经元与认知 · 定量生物学 2026-04-02 Qiaorong S. Yu , Zhaoze Wang , Vijay Balasubramanian

We analyze partial synchronization patterns in a network of FitzHugh-Nagumo oscillators with empirical structural connectivity measured in healthy human subjects. We report a dynamical asymmetry between the hemispheres, induced by the…

适应与自组织系统 · 物理学 2019-07-17 Lukas Ramlow , Jakub Sawicki , Anna Zakharova , Jaroslav Hlinka , Jens Christian Claussen , Eckehard Schöll

Dynamic excitatory-inhibitory (E-I) balance is a paradigmatic mechanism invoked to explain the irregular low firing activity observed in the cortex. However, we will show that the E-I balance can be at the origin of other regimes observable…

神经元与认知 · 定量生物学 2023-11-13 Hongjie Bi , Matteo Di Volo , Alessandro Torcini

We analyze the dynamics of networks of spiking neural oscillators. First, we present an exact linear stability theory of the synchronous state for networks of arbitrary connectivity. For general neuron rise functions, stability is…

神经元与认知 · 定量生物学 2009-11-11 Marc Timme , Theo Geisel , Fred Wolf

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

Various neurophysiological and cognitive functions are based on transferring information between spiking neurons via a complex system of synaptic connections. In particular, the capacity of presynaptic inputs to influence the postsynaptic…

神经元与认知 · 定量生物学 2018-10-30 Y. Dabaghian

The brain may be thought of as a many-body architecture with a spatio-temporal dynamics described by neuronal structures. The oscillatory nature of brain activity allows these structures (nodes) to be described as a set of coupled…

神经元与认知 · 定量生物学 2021-02-03 J. Mendoza-Ruiz , C. E. Alonso-Malaver , M. Valderrama , O. A. Rosso , J. H. Martínez

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

The human brain is a complex dynamical system that gives rise to cognition through spatiotemporal patterns of coherent and incoherent activity between brain regions. As different regions dynamically interact to perform cognitive tasks,…

神经元与认知 · 定量生物学 2019-04-09 Kanika Bansal , Javier O. Garcia , Steven H. Tompson , Timothy Verstynen , Jean M. Vettel , Sarah F. Muldoon

Neural field models are commonly used to describe wave propagation and bump attractors at a tissue level in the brain. Although motivated by biology, these models are phenomenological in nature. They are built on the assumption that the…

神经元与认知 · 定量生物学 2019-01-16 Áine Byrne , Daniele Avitabile , Stephen Coombes

Synchronization dynamics is a phenomenon of great interest in many fields of science. One of the most important fields is neuron dynamics, as synchronization in certain regions of the brain is related to some of the most common mental…

神经元与认知 · 定量生物学 2025-04-09 J. Used , J. M. Seoane , I. Bashkirtseva , L. Ryashko , M. A. F. Sanjuán

We study a network of spiking neurons with heterogeneous excitabilities connected via inhibitory delayed pulses. For globally coupled systems the increase of the inhibitory coupling reduces the number of firing neurons by following a Winner…

无序系统与神经网络 · 物理学 2019-05-29 Stefano Luccioli , David Angulo Garcia , Alessandro Torcini

A coupled map is suggested to investigate various spatial or temporal designs in biology: Several cells (or tissues) in an organ are considered as connected to each other in terms of some molecular diffusions or electrical potential…

综合物理 · 物理学 2011-06-07 Caglar Tuncay

We numerically investigate the influence of intrinsic channel noise on the dynamical response of delay-coupling in neuronal systems. The stochastic dynamics of the spiking is modeled within a stochastic modification of the standard…

生物物理 · 物理学 2013-09-23 Xue Ao , Peter Hanggi , Gerhard Schmid

Several experiments and models have highlighted the importance of neuronal heterogeneity in brain dynamics and function. However, how such a cell-to-cell diversity can affect cortical computation, synchronization, and neuronal communication…

神经元与认知 · 定量生物学 2021-04-07 Katiele V. P. Brito , Fernanda Selingardi Matias

Spatial navigation in mammals is based on building a mental representation of their environment---a cognitive map. However, both the nature of this cognitive map and its underpinning in neural structures and activity remains vague. A key…

神经元与认知 · 定量生物学 2016-03-22 A. Babichev , S. Cheng , Yu. Dabaghian

We study synchronization and rhythmic patterns generated in the heterogeneous cluster of FitzHugh$-$Nagumo oscillators with transition between self-oscillating and excitable elements. Such cluster models the sinoatrial node of the heart,…

斑图形成与孤子 · 物理学 2018-12-14 V. A. Kostin , G. V. Osipov

Diluted neural networks with continuous neurons and nonmonotonic transfer function are studied, with both fixed and dynamic synapses. A noisy stimulus with periodic variance results in a mechanism for controlling chaos in neural systems…

无序系统与神经网络 · 物理学 2009-10-31 D. Caroppo , M. Mannarelli , G. Nardulli , S. Stramaglia