Symbolic analysis of bursting dynamical regimes of Rulkov neural networks-Reference-Cited by-同舟云学术

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Symbolic analysis of bursting dynamical regimes of Rulkov neural networks

Published:2021-06 Issue: Volume:441 Page:44-51
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Budzinski R.C.,Lopes S.R.,Masoller C.

Funder

Ministerio de Ciencia, Innovación y Universidades

Institució Catalana de Recerca i Estudis Avançats

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference50 articles.

1. Spikes: Exploring the Neural Code;Rieke,1999

2. Extracting information from neuronal populations: information theory and decoding approaches;Quiroga;Nat. Rev. Neurosci.,2009

3. Nonrenewal statistics of electrosensory afferent spike trains: Implications for the detection of weak sensory signals;Ratnam;J. Neurosci.,2000

4. Negative interspike interval correlations increase the neuronal capacity for encoding time-dependent stimuli;Chacron;J. Neurosci.,2001

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