Self-sustained irregular activity in an ensemble of neural oscillators

TL;DR

This paper analyzes a complex neural oscillator ensemble showing irregular, high-dimensional activity that could model self-sustained brain states, highlighting a novel mechanism involving phase-response curves.

Contribution

It introduces a new dynamical regime in pulse-coupled oscillators driven by phase-response curves, differing from traditional excitation-inhibition balance models.

Findings

Irregular, high-dimensional fluctuations in the order parameter.

Linear stability of the self-sustained activity.

Potential for computational applications.

Abstract

An ensemble of pulse-coupled phase-oscillators is thoroughly analysed in the presence of a mean-field coupling and a dispersion of their natural frequencies. In spite of the analogies with the Kuramoto setup, a much richer scenario is observed. The "synchronised phase", which emerges upon increasing the coupling strength, is characterized by highly-irregular fluctuations: a time-series analysis reveals that the dynamics of the order parameter is indeed high-dimensional. The complex dynamics appears to be the result of the non-perturbative action of a suitably shaped phase-response curve. Such mechanism differs from the often invoked balance between excitation and inhibition and might provide an alternative basis to account for the self-sustained brain activity in the resting state. The potential interest of this dynamical regime is further strengthened by its (microscopic) linear stability, which makes it quite suited for computational tasks. The overall study has been performed by combining analytical and numerical studies, starting from the linear stability analysis of the asynchronous regime, to include the Fourier analysis of the Kuramoto order parameter, the computation of various types of Lyapunov exponents, and a microscopic study of the inter-spike intervals.