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We investigate the collective dynamics of excitatory-inhibitory excitable networks in response to external stimuli. How to enhance dynamic range, which represents the ability of networks to encode external stimuli, is crucial to many…

神经元与认知 · 定量生物学 2013-12-24 Sen Pei , Shaoting Tang , Shu Yan , Shijin Jiang , Xiao Zhang , Zhiming Zheng

Sensory arrays made of coupled excitable elements can improve both their input sensitivity and dynamic range due to collective non-linear wave properties. This mechanism is studied in a neural network of electrically coupled (e.g. via gap…

无序系统与神经网络 · 物理学 2007-05-23 Mauro Copelli , Antonio C. Roque , Rodrigo F. Oliveira , Osame Kinouchi

We study the dynamic range of a cellular automaton model for a neuronal network with electrical and chemical synapses. The neural network is separated into two layers, where one layer corresponds to inhibitory, and the other corresponds to…

适应与自组织系统 · 物理学 2015-06-23 F. S. Borges , E. L. Lameu , A. M. Batista , K. C. Iarosz , M. S. Baptista , R. L. Viana

In the light of recent experimental findings that gap junctions are essential for low level intensity detection in the sensory periphery, the Greenberg-Hastings cellular automaton is employed to model the response of a two-dimensional…

神经元与认知 · 定量生物学 2016-09-08 Mauro Copelli , Osame Kinouchi

In dynamical models of cortical networks, the recurrent connectivity can amplify the input given to the network in two distinct ways. One is induced by the presence of near-critical eigenvalues in the connectivity matrix W, producing large…

神经元与认知 · 定量生物学 2012-07-31 Guillaume Hennequin , Tim P. Vogels , Wulfram Gerstner

We define a cellular automaton where a resting cell excites if number of its excited neighbours belong to some specified interval and boundaries of the interval change depending on ratio of excited and refractory neighbours in the cell's…

元胞自动机与格子气 · 物理学 2013-02-27 Andrew Adamatzky

The dynamic range measures the capacity of a system to discriminate the intensity of an external stimulus. Such an ability is fundamental for living beings to survive: to leverage resources and to avoid danger. Consequently, the larger is…

神经元与认知 · 定量生物学 2012-05-02 Leonardo L. Gollo , Claudio Mirasso , Víctor M. Eguíluz

As few real systems comprise indistinguishable units, diversity is a hallmark of nature. Diversity among interacting units shapes properties of collective behavior such as synchronization and information transmission. However, the benefits…

神经元与认知 · 定量生物学 2016-05-06 Leonardo L. Gollo , Mauro Copelli , James A. Roberts

A recurrent idea in the study of complex systems is that optimal information processing is to be found near bifurcation points or phase transitions. However, this heuristic hypothesis has few (if any) concrete realizations where a standard…

神经元与认知 · 定量生物学 2007-05-23 Osame Kinouchi , Mauro Copelli

Networks of excitatory and inhibitory neurons display asynchronous irregular (AI) states, where the activities of the two populations are balanced. At the single cell level, it was shown that neurons subject to balanced and noisy synaptic…

神经元与认知 · 定量生物学 2016-11-29 Zahara Girones , Alain Destexhe

Excitable cellular automata with dynamical excitation interval exhibit a wide range of space-time dynamics based on an interplay between propagating excitation patterns which modify excitability of the automaton cells. Such interactions…

元胞自动机与格子气 · 物理学 2015-06-11 Andrew Adamatzky

The artificial axon is an excitable node built with the basic biomolecular components and supporting action potentials. Here we demonstrate coincidence firing (the AND operation) and other basic electrophysiology features such as increasing…

生物物理 · 物理学 2017-11-22 Hector Vasquez , Giovanni Zocchi

The collective dynamics of a network of excitable nodes changes dramatically when inhibitory nodes are introduced. We consider inhibitory nodes which may be activated just like excitatory nodes but, upon activating, decrease the probability…

神经元与认知 · 定量生物学 2014-04-03 Daniel B. Larremore , Woodrow L. Shew , Edward Ott , Francesco Sorrentino , Juan G. Restrepo

It is suggested that the propagation of the action potential is accompanied by an axoplasmic pressure pulse propagating in the axoplasm along the axon length. The pressure pulse stretch-modulates voltage-gated Na (Nav) channels embedded in…

生物物理 · 物理学 2010-07-07 Marat M. Rvachev

In studies of the brain and the nervous system, extracellular signals - as measured by local field potentials (LFPs) or electroencephalography (EEG) - are of capital importance, as they allow to simultaneously obtain data from multiple…

神经元与认知 · 定量生物学 2019-06-10 Jurgis Pods

When each site of a spatially extended excitable medium is independently driven by a Poisson stimulus with rate h, the interplay between creation and annihilation of excitable waves leads to an average activity F. It has recently been…

神经元与认知 · 定量生物学 2008-05-22 Tiago L. Ribeiro , Mauro Copelli

Many membrane channels and receptors exhibit adaptive, or desensitized, response to a strong sustained input stimulus, often supported by protein activity-dependent inactivation. Adaptive response is thought to be related to various…

分子网络 · 定量生物学 2015-03-13 Tamar Friedlander , Naama Brenner

When a simple excitable system is continuously stimulated by a Poissonian external source, the response function (mean activity versus stimulus rate) generally shows a linear saturating shape. This is experimentally verified in some classes…

神经元与认知 · 定量生物学 2007-05-23 Mauro Copelli , Paulo R. A. Campos

Commonly studied cellular automata are memoryless and have fixed topology of connections between cells. However by allowing updates of links and short-term memory in cells we may potentially discover novel complex regimes of spatio-temporal…

元胞自动机与格子气 · 物理学 2012-12-13 Ramon Alonso-Sanz , Andrew Adamatzky

Experimental data suggest that some classes of spiking neurons in the first layers of sensory systems are electrically coupled via gap junctions or ephaptic interactions. When the electrical coupling is removed, the response function…

神经元与认知 · 定量生物学 2007-05-23 Lucas S. Furtado , Mauro Copelli
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