一个高效的大脑开关,用于异步的大脑与计算机接口
概括
本研究介绍了第一个基于局部场势 (LFP) 的脑开关,用于异步的皮质内脑-计算机接口 (iBCI). 这种新的设计显著降低了体内信号处理的功耗,增强了实际的BCI应用.
科学领域:
- 神经科学是一个神经科学.
- 生物医学工程 生物医学工程
- 计算机工程 计算机工程
背景情况:
- 皮层内脑计算机接口 (iBCI) 传统上使用动作潜能 (spikes) 来通过特定应用的集成电路 (ASIC) 来处理信号.
- 异步iBCI依赖于"大脑开关"来检测基于尖端活动的用户参与,这是计算密集的.
- 局部场势 (LFP) 为ASIC中的体内信号处理提供了低功率的替代品.
研究的目的:
- 为非同步iBCI展示基于LFP的脑开关的首次设计和实现.
- 开发一种更实用,更节能的解决方案,用于iBCI中的体内信号处理.
- 为了证明使用封闭的循环神经网络 (RNN) 用于基于LFP的大脑开关功能的可行性.
主要方法:
- 基于LFP的脑开关的设计和实施,使用封闭的循环神经网络 (RNN).
- 在体内基于LFP的特征提取单元的开发,在180nmCMOS过程中合成.
- 对合成ASIC的功耗和面积的评估.
主要成果:
- 基于LFP的脑开关不需要详尽的学习阶段来选择频道或频段,从而提高了实际应用性.
- 合成的ASIC占据了一个小的面积 (0.09毫米2),在2kHz时消耗最小的功率 (91.87nW).
- 拟议的设计实现了与传统的基于尖峰的脑开关可比的状态估计性能,同时消耗的电量显著减少.
结论:
- 以LFP为基础的脑开关为异步iBCI提供了高功率的高效替代品.
- 开发的基于RNN的设计通过消除复杂的学习阶段来简化实际实施.
- 这一进步为更容易获得和可持续的体内BCI技术铺平了道路.
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