Non-normality, reactivity, and intrinsic stochasticity in neural dynamics: a non-equilibrium potential approach
Serena di Santo, Pablo Villegas, Raffaella Burioni, Miguel A. Mu\~noz

TL;DR
This paper investigates how intrinsic stochasticity and non-normality in neural systems lead to complex, non-equilibrium dynamics such as avalanching behavior, emphasizing the role of curl flux and introducing the concept of non-linear reactivity.
Contribution
It introduces a non-equilibrium potential framework to analyze the interplay of non-normality and stochasticity in neural dynamics, highlighting the importance of curl flux and non-linear reactivity.
Findings
Intrinsic stochasticity can induce avalanching in systems with a stable fixed point.
Non-normality leads to reactive dynamics and non-equilibrium behavior.
A non-equilibrium potential approach reveals the role of curl flux in these systems.
Abstract
Intrinsic stochasticity can induce highly non-trivial effects on dynamical systems, including stochastic and coherence resonance, noise induced bistability, noise-induced oscillations, to name but a few. In this paper we revisit a mechanism first investigated in the context of neuroscience by which relatively small demographic (intrinsic) fluctuations can lead to the emergence of avalanching behavior in systems that are deterministically characterized by a single stable fixed point (up state). The anomalously large response of such systems to stochasticity stems (or is strongly associated with) the existence of a "non-normal" stability matrix at the deterministic fixed point, which may induce the system to be "reactive". Here, we further investigate this mechanism by exploring the interplay between non-normality and intrinsic (demographic) stochasticity, by employing a number of…
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