Effects of bias current and control of multistability in 3D hopfield neural network

This work studies the dynamics of a three dimensional Hopfield neural network focusing on the impact of bias terms. In the presence of bias terms, the models displays an odd symmetry and experiences typical behaviors including period doubling, spontaneous symmetry breaking, merging crisis, bursting...

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Detalles Bibliográficos
Autores principales: Boui A Boya, Bertrand Frederick, Ramakrishnan, Balamurali, Effa, Joseph Yves, Kengne, Jacques, Rajagopal, Karthikeyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922829/
https://www.ncbi.nlm.nih.gov/pubmed/36793969
http://dx.doi.org/10.1016/j.heliyon.2023.e13034

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922829/
https://www.ncbi.nlm.nih.gov/pubmed/36793969
http://dx.doi.org/10.1016/j.heliyon.2023.e13034

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