Critical Drift in a Neuro-Inspired Adaptive Network
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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Date
2023-05-02
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en
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6
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Physical Review Letters, Volume 130, issue 18
Abstract
It has been postulated that the brain operates in a self-organized critical state that brings multiple benefits, such as optimal sensitivity to input. Thus far, self-organized criticality has typically been depicted as a one-dimensional process, where one parameter is tuned to a critical value. However, the number of adjustable parameters in the brain is vast, and hence critical states can be expected to occupy a high-dimensional manifold inside a high-dimensional parameter space. Here, we show that adaptation rules inspired by homeostatic plasticity drive a neuro-inspired network to drift on a critical manifold, where the system is poised between inactivity and persistent activity. During the drift, global network parameters continue to change while the system remains at criticality.Description
Publisher Copyright: © 2023 American Physical Society.
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Sormunen, S, Gross, T & Saramäki, J 2023, ' Critical Drift in a Neuro-Inspired Adaptive Network ', Physical Review Letters, vol. 130, no. 18, 188401 . https://doi.org/10.1103/PhysRevLett.130.188401