A simple digital spiking neural network: synchronization and spike-train approximation
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Publication:2057674
DOI10.3934/DCDSS.2020374zbMath1485.92013OpenAlexW3033934435MaRDI QIDQ2057674
Yuya Oishi, Hiroaki Uchida, Toshimichi Saito
Publication date: 7 December 2021
Published in: Discrete and Continuous Dynamical Systems. Series S (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3934/dcdss.2020374
Neural networks for/in biological studies, artificial life and related topics (92B20) Computational methods for problems pertaining to biology (92-08)
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Cites Work
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- Chaos, fractals, and noise: Stochastic aspects of dynamics.
- Completely reproducible description of digital sound data with cellular automata
- Digital spiking neuron and its learning for approximation of various spike-trains
- A full computation-relevant topological dynamics classification of elementary cellular automata
- ANALYSIS OF A QUANTIZED CHAOTIC SYSTEM
- Simple mathematical models with very complicated dynamics
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