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Updated: Jun 9, 2025

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为尖端神经网络提供脑启发的架构

Fengzhen Tang1, Junhuai Zhang1,2, Chi Zhang1,2

  • 1State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Nanta Street 114, Shenyang 110016, China.

Biomimetics (Basel, Switzerland)
|October 25, 2024
PubMed
概括

本研究介绍了一种新型的自适应编码尖端神经网络 (SNN),该神经网络集成了输入处理,提高了图像分类任务中的生物可信性和性能.

关键词:
有漏洞的整合和发射神经元模型.自适应编码的自适应编码.刺激神经网络的神经网络.替代梯度反向传播的替代梯度.

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Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
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