Guaranteed storage and stabilization of desired binary periodic orbits in three-layer dynamic binary neural networks

Author:

Koyama Seitaro,Saito Toshimichi

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference22 articles.

1. Learning of simple dynamic binary neural networks;Kouzuki;IEICE Trans. Fundam.,2013

2. Stabilization of desired periodic orbits in dynamic binary neural networks;Sato;Neurocomputing,2017

3. Theoretical analysis of dynamic binary neural networks with simple sparse connection;Aoki;Neurocomputing,2019

4. Climbing favours the tripod gait over alternative faster insect gaits;Ramdya;Nat. Commun.,2017

5. Central pattern generator based on interstitial cell models made from bursting neuron models;Toizumi1,2018

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2. Permutation binary neural networks: Analysis of periodic orbits and its applications;Discrete and Continuous Dynamical Systems - B;2023

3. A Shifted Logistic Map;International Journal of Bifurcation and Chaos;2023-01

4. A variety of globally stable periodic orbits in permutation binary neural networks;Discrete and Continuous Dynamical Systems - B;2023

5. Biobjective Optimization Problems in Simple Neural Networks as Binary Associative Memories;2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2021-10-17

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