Universality in the firing of minicolumnar-type neural networks.


Journal

Chaos (Woodbury, N.Y.)
ISSN: 1089-7682
Titre abrégé: Chaos
Pays: United States
ID NLM: 100971574

Informations de publication

Date de publication:
Sep 2019
Historique:
entrez: 3 10 2019
pubmed: 3 10 2019
medline: 3 10 2019
Statut: ppublish

Résumé

An open question in biological neural networks is whether changes in firing modalities are mainly an individual network property or whether networks follow a joint pathway. For the early developmental period, our study focusing on a simple network class of excitatory and inhibitory neurons suggests the following answer: Networks with considerable variation of topology and dynamical parameters follow a universal firing paradigm that evolves as the overall connectivity strength and firing level increase, as seen in the process of network maturation. A simple macroscopic model reproduces the main features of the paradigm as a result of the competition between the fundamental dynamical system notions of synchronization vs chaos and explains why in simulations the paradigm is robust regarding differences in network topology and largely independent from the neuron model used. The presented findings reflect the first dozen days of dissociated neuronal in vitro cultures (upon following the developmental period bears similarly universal features but is characterized by the processes of neuronal facilitation and depression that do not require to be considered for the first developmental period).

Identifiants

pubmed: 31575124
doi: 10.1063/1.5111867
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

093109

Auteurs

Karlis Kanders (K)

Institute of Neuroinformatics, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland.

Norbert Stoop (N)

Institute for Building Materials, ETH Zurich, 8092 Zurich, Switzerland.

Ruedi Stoop (R)

Institute of Neuroinformatics, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland.

Classifications MeSH