Ubiquity of collective irregular dynamics in balanced networks of spiking neurons

Ekkehard Ullner, Antonio Politi, Alessandro Torcini

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

We revisit the behavior of a prototypical model of balanced activity in networks of spiking neurons. A detailed study of an appropriate thermodynamic limit for fixed density of connections shows that, when inhibition prevails, the asymptotic regime is characterized by a self-sustained irregular, macroscopic (collective) dynamics rather than being asynchronous. This holds true even for very small coupling strengths. A relationship with the collective chaos observed in standard (unbalanced) heterogeneous networks is also put forward and the role played by clustered states discussed.
Original languageEnglish
Article number081106
JournalChaos
Volume28
Issue number8
Early online date29 Aug 2018
DOIs
Publication statusPublished - Aug 2018

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Spiking Neurons
spiking
Heterogeneous networks
Heterogeneous Networks
Thermodynamic Limit
neurons
Chaos theory
Neurons
Irregular
Chaos
Thermodynamics
chaos
thermodynamics
Model
Relationships
Standards

Keywords

  • nlin.AO

Cite this

Ubiquity of collective irregular dynamics in balanced networks of spiking neurons. / Ullner, Ekkehard; Politi, Antonio; Torcini, Alessandro.

In: Chaos, Vol. 28, No. 8, 081106 , 08.2018.

Research output: Contribution to journalArticle

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