Ubiquity of collective irregular dynamics in balanced networks of spiking neurons

Ekkehard Ullner, Antonio Politi, Alessandro Torcini

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)
2 Downloads (Pure)

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

Keywords

  • nlin.AO

Fingerprint

Dive into the research topics of 'Ubiquity of collective irregular dynamics in balanced networks of spiking neurons'. Together they form a unique fingerprint.

Cite this