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相关实验视频

Updated: Jan 13, 2026

In Vivo Wireless Optogenetic Control of Skilled Motor Behavior
07:52

In Vivo Wireless Optogenetic Control of Skilled Motor Behavior

Published on: November 22, 2021

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每位子皮科朱尔 (sub-picojoule-per-bit) 的意志神经形态设备用于精确的准和跟踪.

Yixuan Huang1, Qihao Sun1, Fuxing Dai2

  • 1Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, 610054, PR China.

Nature communications
|January 9, 2026
PubMed
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Monolithically integrated photon-mapping infrared imager.

Nature communications·2026

这项研究引入了一种具有主动注意力调节的新型神经形态设备,显著提高了人工智能硬件的能源效率. 这项创新增强了特征提取,并为高光谱成像和计算提供了可持续的途径.

科学领域:

  • 神经形态工程的神经形态工程
  • 人工智能 硬件 硬件
  • 节能计算 节能计算 节能计算 节能计算

背景情况:

  • 人工智能硬件面临着能源消耗方面的挑战.
  • 目前的视网形态设备具有被动注意力机制,限制了特征提取灵活性.

研究的目的:

  • 以人类视觉系统为灵感,开发一种具有积极注意力调节的意志神经形态装置.
  • 提高AI硬件的特征提取能力和能源效率.

主要方法:

  • 利用门电压调节的光导率来实现可调节的差异光谱响应.
  • 使用神经网络进行光谱重建准确性评估.
  • 实施积极的自愿注意力调节.

主要成果:

  • 通过可调节的光谱响应实现了选择性的任务感知.
  • 显示了1.17%的数据压缩比.
  • 达到了0.625 pJ/bit的信息能效.

结论:

  • 这种新型设备推进了视网形硬件设计.
  • 为节能高光谱成像提供了一个可持续的途径.

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  • 能够实现下一代神经形态计算系统.