Population coding and self-organized ring attractors in recurrent neural networks for continuous variable integration

Representing and integrating continuous variables is a fundamental capability of the brain, often relying on ring attractor circuits that maintain a persistent bump of activity. To investigate how such structures can self-organize, we trained a recurrent neural network (RNN) on a ring-based path int...

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Bibliografische gegevens

Hoofdauteurs:	Roman Kononov, Vasilii Tiselko , Oleg Maslennikov , Vladimir Nekorkin
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Frontiers Media S.A. 2025-10-01
Reeks:	Frontiers in Network Physiology
Onderwerpen:	recurrent neural networks bump attractors population coding continuous variable integration nonlinear dynamics network physiology
Online toegang:	https://www.frontiersin.org/articles/10.3389/fnetp.2025.1693772/full
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