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Kuramoto Model for Excitation-Inhibition-Based Oscillations

Abstract: The Kuramoto model (KM) is a theoretical paradigm for investigating the emergence of rhythmic activity in large populations of oscillators. A remarkable example of rhythmogenesis is the feedback loop between excitatory (E) and inhibitory (I) cells in large neuronal networks. Yet, although the EI-feedback mechanism plays a central role in the generation of brain oscillations, it remains unexplored whether the KM has enough biological realism to describe it. Here we derive a two-population KM that fully accounts for the onset of EI-based neuronal rhythms and that, as the original KM, is analytically solvable to a large extent. Our results provide a powerful theoretical tool for the analysis of large-scale neuronal oscillations. © 2018 American Physical Society.

Otras publicaciones de la misma revista o congreso con autores/as de la Universidad de Cantabria

 Fuente: PHYSICAL REVIEW LETTERS 120, 244101 (2018)

Editorial: American Physical Society

 Fecha de publicación: 01/06/2018

Nº de páginas: 6

Tipo de publicación: Artículo de Revista

 DOI: 10.1103/PhysRevLett.120.244101

ISSN: 0031-9007,1079-7114

Proyecto español: FIS2016-74957-P; SI2016-75688-P; PCIN-2015-127

Url de la publicación: https://doi.org/10.1103/PhysRevLett.120.244101