Hierarchical Heteroclinics in Dynamical Model of Cognitive Processes: Chunking

DOI10.1142/S0218127414501326zbMath1302.92016OpenAlexW2138216804MaRDI QIDQ2934569

Valentin Afraimovich, Mikhail I. Rabinovich, Todd R. Young

Publication date: 15 December 2014

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218127414501326

zbMATH Keywords

slow-fast systemheteroclinic networkattracting manifold

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Cognitive psychology (91E10) Memory and learning in psychology (91E40) Invariant manifolds for ordinary differential equations (34C45) Singular perturbations for ordinary differential equations (34E15) Homoclinic and heteroclinic solutions to ordinary differential equations (34C37)

Related Items (3)

Synchronization of heteroclinic circuits through learning in coupled neural networks ⋮ Transient sequences in a hypernetwork generated by an adaptive network of spiking neurons ⋮ Multistability intermittency in an air-conveying soft tube

Cites Work

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• Winnerless competition principle and prediction of the transient dynamics in a Lotka–Volterra model
• On the origin of reproducible sequential activity in neural circuits

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