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Updated: Jun 16, 2025

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具有内部复杂性的网络模型将人工智能和神经科学连接起来

Linxuan He1,2,3, Yunhui Xu1,4, Weihua He5

  • 1Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China.

Nature computational science
|August 16, 2024
PubMed
概括

本研究介绍了一种具有AI内部复杂性方法的小型模型,挑战了大模型范式. 它表明,复杂的神经元可以达到与较大的网络可比的性能,优化AI模型的效率.

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