Chaos may enhance expressivity in cerebellar granular layer

DOI10.1016/j.neunet.2020.12.020zbMath1527.92010arXiv2006.11532OpenAlexW3036349379MaRDI QIDQ6078677

Akihito Sudo, Naoya Fujiwara, Keita Tokuda, Yuichi Katori

Publication date: 28 September 2023

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2006.11532

zbMATH Keywords

chaotic dynamicsreaction-diffusion systemSierpinski gasketgap junctionreservoir computingcerebellar granular layer

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45) Fractals (28A80)

Cites Work

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