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Updated: Mar 7, 2026

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在平衡的皮层 E-I 网络中强制学习

Takashi Kanamaru1,2, Kazuyuki Aihara1,3

  • 1International Research Center for Neurointelligence, University of Tokyo 192-0015, Japan.

Neural computation
|March 5, 2026
PubMed
概括

强迫学习是一种训练循环神经网络 (RNN) 的方法,应用于大脑启发的刺激-抑制 (E-I) 网络. 接近混乱的最佳E-I平衡最大限度地提高了学习效率,这表明神经合作是大脑计算的关键.

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