Literature DB >> 27341262

From Quasiperiodic Partial Synchronization to Collective Chaos in Populations of Inhibitory Neurons with Delay.

Diego Pazó1, Ernest Montbrió2.   

Abstract

Collective chaos is shown to emerge, via a period-doubling cascade, from quasiperiodic partial synchronization in a population of identical inhibitory neurons with delayed global coupling. This system is thoroughly investigated by means of an exact model of the macroscopic dynamics, valid in the thermodynamic limit. The collective chaotic state is reproduced numerically with a finite population, and persists in the presence of weak heterogeneities. Finally, the relationship of the model's dynamics with fast neuronal oscillations is discussed.

Mesh:

Year:  2016        PMID: 27341262     DOI: 10.1103/PhysRevLett.116.238101

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  5 in total

1.  Firing rate equations require a spike synchrony mechanism to correctly describe fast oscillations in inhibitory networks.

Authors:  Federico Devalle; Alex Roxin; Ernest Montbrió
Journal:  PLoS Comput Biol       Date:  2017-12-29       Impact factor: 4.475

2.  Synchronization transition in neuronal networks composed of chaotic or non-chaotic oscillators.

Authors:  Kesheng Xu; Jean Paul Maidana; Samy Castro; Patricio Orio
Journal:  Sci Rep       Date:  2018-05-30       Impact factor: 4.379

3.  Beta-Rhythm Oscillations and Synchronization Transition in Network Models of Izhikevich Neurons: Effect of Topology and Synaptic Type.

Authors:  Mahsa Khoshkhou; Afshin Montakhab
Journal:  Front Comput Neurosci       Date:  2018-08-14       Impact factor: 2.380

4.  Macroscopic phase resetting-curves determine oscillatory coherence and signal transfer in inter-coupled neural circuits.

Authors:  Grégory Dumont; Boris Gutkin
Journal:  PLoS Comput Biol       Date:  2019-05-09       Impact factor: 4.475

5.  A universal route to explosive phenomena.

Authors:  Christian Kuehn; Christian Bick
Journal:  Sci Adv       Date:  2021-04-16       Impact factor: 14.136

  5 in total

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