Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloDeath and rebirth of neural activity in sparse inhibitory networks
Anno di pubblicazione2017
FormatoElettronico
Autore/iAngulo-Garcia D.; Luccioli S.; Olmi S.; Torcini A.
Affiliazioni autoriAix Marseille Univ, INSERM, INMED and INS, Inst Neurosci Syst, Marseille, France; Aix Marseille Univ, INSERM, INMED and INS, Inst Neurosci Syst, Marseille, France; Aix Marseille Univ, INSERM, INMED and INS, Inst Neurosci Syst, Marseille, France; Aix Marseille Univ, INSERM, INMED and INS, Inst Neurosci Syst, Marseille, France; Aix Marseille Univ, Université de Toulon, CNRS, CPT, UMR 7332, Marseille, F-13288, France; Aix Marseille Univ, Université de Toulon, CNRS, CPT, UMR 7332, Marseille, F-13288, France; Aix Marseille Univ, Université de Toulon, CNRS, CPT, UMR 7332, Marseille, F-13288, France; Aix Marseille Univ, Université de Toulon, CNRS, CPT, UMR 7332, Marseille, F-13288, France; CNR - Consiglio Nazionale Delle Ricerche, Istituto Dei Sistemi Complessi, Sesto Fiorentino, I-50019, , Italy; INFN - Istituto Nazionale di Fisica Nucleare - Sezione di Firenze, Sesto Fiorentino, I-50019, , Italy; Weierstrass Institute, Mohrenstraße 39, Berlin, D-10117, Germany; Laboratoire de Physique Théorique et Modélisation, Université de Cergy-Pontoise, CNRS, UMR 8089, Cergy-Pontoise Cedex, F-95302, France; Laboratoire de Physique Théorique et Modélisation, Université de Cergy-Pontoise, CNRS, UMR 8089, Cergy-Pontoise Cedex, F-95302, France; Max-Planck-Institut für Physik Komplexer Systeme, Nöthnitzer Straße 38, Dresden, D-01187, Germany
Autori CNR e affiliazioni
  • SIMONA OLMI
  • ALESSANDRO TORCINI
  • STEFANO LUCCIOLI
Lingua/e
  • inglese
AbstractInhibition is a key aspect of neural dynamics playing a fundamental role for the emergence of neural rhythms and the implementation of various information coding strategies. Inhibitory populations are present in several brain structures, and the comprehension of their dynamics is strategical for the understanding of neural processing. In this paper, we clarify the mechanisms underlying a general phenomenon present in pulse-coupled heterogeneous inhibitory networks: inhibition can induce not only suppression of neural activity, as expected, but can also promote neural re-activation. In particular, for globally coupled systems, the number of firing neurons monotonically reduces upon increasing the strength of inhibition (neuronal death). However, the random pruning of connections is able to reverse the action of inhibition, i.e. in a random sparse network a sufficiently strong synaptic strength can surprisingly promote, rather than depress, the activity of neurons (neuronal rebirth). Thus, the number of firing neurons reaches a minimum value at some intermediate synaptic strength. We show that this minimum signals a transition from a regime dominated by neurons with a higher firing activity to a phase where all neurons are effectively sub-threshold and their irregular firing is driven by current fluctuations. We explain the origin of the transition by deriving a mean field formulation of the problem able to provide the fraction of active neurons as well as the first two moments of their firing statistics. The introduction of a synaptic time scale does not modify the main aspects of the reported phenomenon. However, for sufficiently slow synapses the transition becomes dramatic, and the system passes from a perfectly regular evolution to irregular bursting dynamics. In this latter regime the model provides predictions consistent with experimental findings for a specific class of neurons, namely the medium spiny neurons in the striatum.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da053011-1
Pagine a053011-22
Pagine totali-
RivistaNew journal of physics
Attiva dal 1998
Editore: Deutsche Physikalische Gesellschaft. - [Bristol]
Paese di pubblicazione: Regno Unito
Lingua: inglese
ISSN: 1367-2630
Titolo chiave: New journal of physics
Titolo abbreviato: New j. phys.
Numero volume della rivista19
Fascicolo della rivista5
DOI10.1088/1367-2630/aa69ff
Verificato da referee-
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-85019102090)
  • ISI Web of Science (WOS) (Codice:000401585800008)
Parole chiavefiring statistics, inhibition, leaky integrate-and-fire model, lyapunov analysis, neural network, pulse-coupled neural models
Link (URL, URI)https://iopscience.iop.org/article/10.1088/1367-2630/aa69ff
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Licenza-
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Strutture CNR
  • ISC — Istituto dei sistemi complessi
Moduli/Attività/Sottoprogetti CNR-
Progetti Europei-
Allegati
Death and rebirth of neural activity in sparse inhibitory networks
Descrizione: Published Version
Tipo documento: application/pdf