一个有机的电化学神经元,用于神经形态感知系统
Yao Yao1,2, Robert M Pankow1,3, Wei Huang1
1Department of Chemistry and the Materials Research Center, Northwestern University, Evanston, IL 60208.
概括
研究人员为先进的神经形态系统开发了一种高效的有机电化学神经元 (OECN). 这种生物启发的人工神经元可以在机器人应用中实现精确的触觉感知.
科学领域:
- 神经形态工程的神经形态工程
- 材料科学 材料科学 材料科学
- 生物模拟系统 生物模拟系统
背景情况:
- 人类的感知依赖于适应性,可塑性和事件驱动的神经网络.
- 神经形态系统提供高效的多感官处理,但在人工神经元设计方面面临挑战.
- 开发具有可调节尖端和小足迹的人工神经元对于高效的系统至关重要.
研究的目的:
- 报告一个高效的有机电化学神经元 (OECN),其足迹减少.
- 为了证明OECN对广泛,可校准的尖端频率范围的能力.
- 使用OECN开发一种神经形态感知系统,用于触觉感知.
主要方法:
- 使用高性能垂直OECT (vOECT) 互补电路制造一个高效的OECN.
- 使用先进的n型聚合物,实现平衡的p/n型VOECT性能.
- 机械传感器和人工突触与OECN集成,用于触觉感知.
主要成果:
- 在OECN实现了减少足迹 (<37 mm2).
- 证明了突出的神经元特征,可校准的发射频率范围为0.130至147.1赫兹.
- 成功将触觉刺激编码为依赖频率的尖峰和突触后反应.
结论:
- 开发的OECN为人工神经元设计提供了一个有效的解决方案.
- 神经形态感知系统表现出有效的触觉感知能力.
- 这种生物灵感设计具有显著的潜力,可以推进具有增强感知能力的赛博格和神经形态系统.
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