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Dynamical properties and mechanisms of metastability: a perspective in neuroscience

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arxiv 2305.05328 v2 pith:N3LJ47BZ submitted 2023-05-09 q-bio.NC math.DSnlin.CD

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keywords dynamicalliteraturemetastabilityperspectivepropertiesregimesdefinitiondiscuss
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Metastability, characterized by a variability of regimes in time, is a ubiquitous type of neural dynamics. It has been formulated in many different ways in the neuroscience literature, however, which may cause some confusion. In this Perspective, we discuss metastability from the point of view of dynamical systems theory. We extract from the literature a very simple but general definition through the concept of metastable regimes as long-lived but transient epochs of activity with unique dynamical properties. This definition serves as an umbrella term that encompasses formulations from other works, and readily connects to concepts from dynamical systems theory. This allows us to examine general dynamical properties of metastable regimes, propose in a didactic manner several dynamics-based mechanisms that generate them, and discuss a theoretical tool to characterize them quantitatively. This perspective leads to insights that help to address issues debated in the literature and also suggest pathways for future research.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Diverse mean-field dynamics of clustered, inhibition-stabilized Hawkes networks via combinatorial threshold-linear networks

    q-bio.NC 2025-06 conditional novelty 7.0 of 10

    A clustered spiking network reduces, in the large-population, fast-inhibition limit, to a combinatorial threshold-linear network, so CTLN graph rules can predict its dynamical attractors from between-cluster connectivity.

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