Literature DB >> 30180628

Ubiquity of collective irregular dynamics in balanced networks of spiking neurons.

Ekkehard Ullner1, Antonio Politi1, Alessandro Torcini2.   

Abstract

We revisit the dynamics of a prototypical model of balanced activity in networks of spiking neurons. A detailed investigation of the thermodynamic limit for fixed density of connections (massive coupling) shows that, when inhibition prevails, the asymptotic regime is not asynchronous but rather characterized by a self-sustained irregular, macroscopic (collective) dynamics. So long as the connectivity is massive, this regime is found in many different setups: leaky as well as quadratic integrate-and-fire neurons; large and small coupling strength; and weak and strong external currents.

Mesh:

Year:  2018        PMID: 30180628     DOI: 10.1063/1.5049902

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  2 in total

1.  Coherent chaos in a recurrent neural network with structured connectivity.

Authors:  Itamar Daniel Landau; Haim Sompolinsky
Journal:  PLoS Comput Biol       Date:  2018-12-13       Impact factor: 4.475

2.  Asynchronous and Coherent Dynamics in Balanced Excitatory-Inhibitory Spiking Networks.

Authors:  Hongjie Bi; Matteo di Volo; Alessandro Torcini
Journal:  Front Syst Neurosci       Date:  2021-12-10
  2 in total

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