基于光学/电气生物模拟器的人工突触.
Lu Wang1, Shutao Wei1, Jiachu Xie1
1Heilongjiang Provincial Key Laboratory of Micronano Sensitive Devices and Systems, School of Electronic Engineering, Heilongjiang University, Harbin 150080, China.
Nanomaterials (Basel, Switzerland)
|December 8, 2023
概括
研究人员使用卵和石墨烯量子点开发了可调节的生物模块. 这些设备模仿了9个大脑突触功能,为神经形态计算中的生物材料铺平了道路.
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.
- 电子 电子 电子 电子 电子 电子 电子
背景情况:
- 由于它们的人工突触能力,memristors是神经形态计算的关键.
- 卵 (EA) 和石墨烯量子点 (GQD) 为电子设备提供了新的材料特性.
研究的目的:
- 使用EA-GQD介电层制造电/光调节的生物模块.
- 为了研究这些生物模拟器模仿的突触功能.
主要方法:
- 制造Al/PMMA/EA-GQDs/PMMA/ITO生物记忆器. 制造Al/PMMA/EA-GQDs/PMMA/ITO生物记忆器
- 使用紫外线光刺激触发电子注入和电子传输通路.
- 测试九种不同的大脑突触功能.
主要成果:
- EA-GQD的介电层在紫外线下促进了电子传输.
- 制造的生物模拟器成功模拟了9个大脑突触功能,包括可塑性,学习和关联记忆.
- 经过证明的刺激后突触电流 (EPSC),配对脉冲促进 (PPF),短期强化 (STP) 和短期抑郁 (STD).
- 展示了从短期可塑性到长期可塑性,尖端时间依赖可塑性 (STDP) 和尖端速度依赖可塑性 (SRDP) 的过渡.
- 成功模拟学习,忘记,重新学习和帕夫洛夫关联记忆.
结论:
- 用卵蛋白和石墨烯量子点制造的生物模拟器可以有效地模拟复杂的突触功能.
- 这项研究突出了生物材料在开发先进的神经形态计算系统方面的潜力.
- 该设备的光学可调性性质为大脑启发的计算架构提供了新的可能性.
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