Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Four-scroll attractor on the dynamics of a novel Hopfield neural network based on bi-neurons without bias current
por: Boya, Bertrand Frederick Boui A, et al.
Publicado: (2022) -
Storage Capacities of Twin-Multistate Quaternion Hopfield Neural Networks
por: Kobayashi, Masaki
Publicado: (2018) -
Window of multistability and its control in a simple 3D Hopfield neural network: application to biomedical image encryption
por: Njitacke, Zeric Tabekoueng, et al.
Publicado: (2020) -
The Hopfield-like neural network with governed ground state
por: Litinskii, Leonid B, et al.
Publicado: (2013) -
Geometric Regularized Hopfield Neural Network for Medical Image Enhancement
por: Alenezi, Fayadh, et al.
Publicado: (2021)