电子重新配置的记忆神经元能够在激发和抑制模式下运行
Lingxiang Hu1, Zongxiao Li1, Jiale Shao1
1Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China.
Nano letters
|August 14, 2024
概括
研究人员开发了一种新的双模式记忆神经元,可以模仿刺激和抑制功能,增强先进的神经形态系统的人工神经元的能力.
科学领域:
- 材料科学 材料科学 材料科学
- 神经科学是一个神经科学.
- 计算机工程 计算机工程
背景情况:
- 值切换 (TS) 记忆元是神经形态计算中人工神经元的关键组件.
- 目前的记忆神经元主要表现出激发性行为,由于缺乏抑制模式,缺乏生物可信性.
- 这种限制阻碍了刺激信号和抑制信号的协同处理,这对于复杂的神经功能至关重要.
研究的目的:
- 提出并展示一种能够在激发和抑制模式下运行的新型记忆神经元.
- 为了克服单模记忆神经元的局限性,为了更具生物学可信性的人工神经网络.
- 为了使先进的神经形态系统的发展,增强处理能力.
主要方法:
- 在memristors中利用双极值切换 (TS) 行为,通过极性控制的电压实现可调节的值电压.
- 设计了一种能够进行可逆值电压调节的记忆装置,从而实现双模式神经元的运行.
- 开发了一个自适应的神经形态视觉传感器,利用拟议的双模式神经元.
主要成果:
- 证明了一种新型的记忆神经元,在刺激和抑制模式下运行.
- 成功模仿神经元活动,如所有或没有行为和可调节的发射概率在各种刺激下.
- 开发的神经形态视觉传感器在各种照明条件下表现出有效的物体识别.
结论:
- 拟议的双模式记忆神经元提供了一个多功能平台,用于创建具有更丰富功能的神经形态系统.
- 这一进步解决了对生物可信的人工神经元的需求,这些神经元能够处理刺激信号和抑制信号.
- 双模式神经元技术为更复杂和更适应的神经形态计算应用铺平了道路.
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