A hybrid artificial neural network for the generation of critical fluctuations and inter-spike intervals

Yiannis F. Contoyiannis, Efstratios K. Kosmidis, Fotios K. Diakonos, Myron Kampitakis and Stelios M. Potirakis

Chaos, Solitons & Fractals, 2022, vol. 159, issue C

Abstract: The recently introduced [Contoyiannis et al., 2021] hybrid artificial neural network can simulate the dynamics of membrane potential fluctuations of real neurons based on fundamental principles of Physics. Here, we propose a temporal description of the membrane potential fluctuations, which resembles the soliton solutions in φ4 field theory. Within this framework, kink-antikink dynamics are associated with spike generation. Furthermore, we show that the simulation can also reproduce the distribution of inter-spike intervals of biological neurons in their critical state [Kosmidis et al., 2018]. A proposal for the intermittency origin of these fluctuations is discussed.

Keywords: Criticality; Intermittency; Kink-antikink solitons; Artificial neural network; Membrane potential of biological neurons; Spikes (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:159:y:2022:i:c:s0960077922003253

DOI: 10.1016/j.chaos.2022.112115

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