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Updated: Jun 22, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

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适应性小世界神经网络中的反向随机共振

Marius E Yamakou1, Jinjie Zhu2, Erik A Martens3

  • 1Department of Data Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Cauerstr. 11, 91058 Erlangen, Germany.

Chaos (Woodbury, N.Y.)
|November 6, 2024
PubMed
概括

噪音可以令人惊地改善神经网络中的信息传输. 这项研究表明,FitzHugh-Nagumo神经元中的适应机制增强了反向静态共振 (ISR),优化了人工神经回路中的信号处理.

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