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Updated: Jul 19, 2025

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
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分享漏洞整合和发射神经元,用于高效记忆的尖端神经网络

Youngeun Kim1, Yuhang Li1, Abhishek Moitra1

  • 1Department of Electrical Engineering, Yale University, New Haven, CT, United States.

Frontiers in neuroscience
|August 16, 2023
PubMed
概括

EfficientLIF-Net通过共享漏洞集成和火 (LIF) 神经元来减少尖端神经网络 (SNN) 的内存使用. 这种方法保持了准确性,同时显著提高了SNN的内存效率.

关键词:
能源效率高的深度学习.基于事件的处理.图像识别功能 图像识别功能神经形态计算是一种神经形态计算.尖的神经网络的神经网络.

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