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ORIGINAL RESEARCH article

Front. Comput. Neurosci.
Volume 18 - 2024 | doi: 10.3389/fncom.2024.1422159
This article is part of the Research Topic Single Neuron and Neuronal Networks Modelling View all articles

Bursting gamma oscillations in neural mass models

Provisionally accepted
Manoj K. Nandi Manoj K. Nandi 1,2Michele Valla Michele Valla 1,2Matteo Di Volo Matteo Di Volo 1,2*
  • 1 Université Claude Bernard Lyon 1, Lyon, Rhône-Alpes, France
  • 2 INSERM U1208 Institut Cellule Souche et Cerveau, Bron, France

The final, formatted version of the article will be published soon.

    Gamma oscillations (30-120 Hz) in the brain are not periodic cycles but they typically appear in short time windows often called oscillatory bursts. While the origin of this bursting phenomenon is still unclear, some recent works hypothesize its origin in external or endogenous noise of neural networks. We show that an exact neural mass model of excitatory and inhibitory quadraticintegrate and fire spiking neurons theoretically predicts the emergence of a different regime of intrinsic bursting gamma oscillations (IBG) without any noise source, a phenomenon due to collective chaos. This regime is indeed observed in direct simulation of spiking neurons, characterised by highly irregular spiking activity. IBG oscillations are characterised by higher phase amplitude coupling to slower theta oscillations with respect to noise-induced bursting oscillations, thus indicating an increased capacity for information transfer between brain regions. We show that this phenomenon is present in both globally coupled and sparse networks of spiking neurons. These results propose a new mechanism for gamma oscillatory activity, suggesting deterministic collective chaos as a good candidate for the origin of gamma bursts.

    Keywords: gamma oscillations, neural mass model, Phase amplitude coupling, Spiking neural network (SNN), Synchronisation

    Received: 23 Apr 2024; Accepted: 08 Aug 2024.

    Copyright: © 2024 Nandi, Valla and Di Volo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Matteo Di Volo, Université Claude Bernard Lyon 1, Lyon, 69622, Rhône-Alpes, France

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