Self-sustained activity of low firing rate in balanced networks
نویسندگان
چکیده
منابع مشابه
Firing rate predictions in optimal balanced networks
How are firing rates in a spiking network related to neural input, connectivity and network function? This is an important problem because firing rates are a key measure of network activity, in both the study of neural computation and neural network dynamics. However, it is a difficult problem, because the spiking mechanism of individual neurons is highly non-linear, and these individual neuron...
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Pablo Piedrahı́ta,1 Javier Borge-Holthoefer,1, ∗ Yamir Moreno,1, 2 and Alex Arenas1, 3, 4 Instituto de Biocomputación y Fı́sica de Sistemas Complejos (BIFI), Universidad de Zaragoza, Mariano Esquillor s/n, 50018 Zaragoza, Spain Departamento de Fı́sica Teórica, Universidad de Zaragoza, 50009 Zaragoza, Spain Departament d’Enginyeria Informàtica i Matemàtiques, Universitat Rovira i Virgili, 43007 Tar...
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There is consensus in the current literature that stable states of asynchronous irregular spiking activity require (i) large networks of 10 000 or more neurons and (ii) external background activity or pacemaker neurons. Yet already in 1963, Griffith showed that networks of simple threshold elements can be persistently active at intermediate rates. Here, we extend Griffith’s work and demonstrate...
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ژورنال
عنوان ژورنال: Physica A: Statistical Mechanics and its Applications
سال: 2020
ISSN: 0378-4371
DOI: 10.1016/j.physa.2019.122671