Nonlinear dynamics and machine learning of recurrent spiking neural networks-Reference-Cited by-同舟云学术

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Nonlinear dynamics and machine learning of recurrent spiking neural networks

Published:2021-08 Issue: Volume: Page:
ISSN:1063-7869
Container-title:Physics-Uspekhi
language:en
Short-container-title:Phys. Usp.

Author:

Maslennikov Oleg V.¹,Pugavko Mechislav M.¹,Shchapin Dmitrii S.¹,Nekorkin Vladimir I.¹

Affiliation:

1. Federal Research Center Institute of Applied Physics of the Russian Academy of Sciences, ul. Ulyanova 46, Nizhny Novgorod, 603000, Russian Federation

Publisher

Uspekhi Fizicheskikh Nauk (UFN) Journal

Subject

General Physics and Astronomy

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Extending dynamic memory of spiking neuron networks;Chaos, Solitons & Fractals;2024-05

2. Topological features of spike trains in recurrent spiking neural networks that are trained to generate spatiotemporal patterns;Frontiers in Computational Neuroscience;2024-02-23

3. Performing decision-making tasks through dynamics of recurrent neural networks trained with reinforcement learning;2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA);2023-09-18

4. Rate chaos and memory lifetime in spiking neural networks;Chaos, Solitons & Fractals;2022-05

5. Dynamics of an artificial recurrent neural network for the problem of modeling a cognitive function;Izvestiya VUZ. Applied Nonlinear Dynamics;2021-09-30

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