Self-Consistent Scheme for Spike-Train Power Spectra in Heterogeneous Sparse Networks-Reference-Cited by-同舟云学术

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Self-Consistent Scheme for Spike-Train Power Spectra in Heterogeneous Sparse Networks

Published:2018-03-02 Issue: Volume:12 Page:
ISSN:1662-5188
Container-title:Frontiers in Computational Neuroscience
language:
Short-container-title:Front. Comput. Neurosci.

Author:

Pena Rodrigo F. O.,Vellmer Sebastian,Bernardi Davide,Roque Antonio C.,Lindner Benjamin

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Deutsche Forschungsgemeinschaft

Bundesministerium für Bildung und Forschung

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Frontiers Media SA

Subject

Cellular and Molecular Neuroscience,Neuroscience (miscellaneous)

Reference82 articles.

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2. Transition to chaos in random networks with cell-type-specific connectivity;Aljadeff;Phys. Rev. Lett.,2015

3. Dynamics of a recurrent network of spiking neurons before and following learning;Amit;Netw. Comput. Neural Syst.,1997

4. Power spectrum analysis of bursting cells in area MT in the behaving monkey;Bair;J. Neurosci.,1994

5. Characteristic effects of stochastic oscillatory forcing on neural firing: analytical theory and comparison to paddlefish electroreceptor data;Bauermeister;PLoS Comput. Biol.,2013

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