Collective dynamics in spiking neural networks: A systematic review
This study aims to review recent research on the collective behaviour of excitatory and inhibitory (E-I) spiking neural networks. The research methodology used is Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) procedures, comprising three primary stages: an initial searc...
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Zusammenfassung: | This study aims to review recent research on the collective behaviour of
excitatory and inhibitory (E-I) spiking neural networks. The research
methodology used is Preferred Reporting Items for Systematic Reviews and
Meta-Analyses (PRISMA) procedures, comprising three primary stages: an initial
search for literature in the SCOPUS database, a screening process based on
specific inclusion and exclusion criteria, and a review of the selected
literatures. Out of 491 documents from 2014 to 2024, 6 research papers are
qualified for review. Four distinct dynamical states have been identified:
synchrony, irregular behaviour, stationary state, and oscillatory dynamics. Our
review findings suggest that the collective dynamics of E-I spiking neurons
stem from the interaction of intrinsic neuronal characteristics, balance
mechanisms, and the type of external stimuli. Additionally, the widespread use
of Quadratic Integrate-and-Fire (QIF) neurons in the literature highlights its
significance as a robust candidate for exploring collective behaviours in
large-scale neuronal networks. |
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DOI: | 10.48550/arxiv.2410.23876 |