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Updated: Jan 10, 2026

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

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在自我组织的概率性尖端神经网络中,基于突触同步的模式分离的学习

Faramarz Faghihi1, Ahmed Moustafa2, Samuel Neymotin3,4

  • 1Department of Medical Physiology, Division of Heart & Lungs, University Medical Center Utrecht, Utrecht, The Netherlands.

bioRxiv : the preprint server for biology
|November 24, 2025
PubMed
概括

这项研究引入了神经科学启发的神经网络的新学习规则,通过反抑制增强模式分离和网络稳定性. 这种生物学上可信的模型推进了机器人技术和对认知障碍的理解.

关键词:
激发/抑制平衡的平衡.模式分离模式分离方式概率神经网络是一种神经网络.它是自我组织的.突触同步同步 突触同步同步非 Hebbian 语言的学习

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