一个概念验证尖端基于神经形态的大脑与计算机接口
概括
这项研究展示了一种神经形态的大脑与计算机接口 (BCI),能够近乎实时地处理神经尖端事件. 这项技术对开发用于神经修复的先进闭环BCI充满希望.
科学领域:
- 神经科学是一个神经科学.
- 计算机工程 计算机工程
- 生物医学工程 生物医学工程
背景情况:
- 闭环脑电脑接口 (BCI) 提供了神经损伤后功能恢复的潜力.
- 高的时空精度对于临床有效的BCI系统至关重要.
- 目前的BCI通常需要广泛的神经信号预处理.
研究的目的:
- 为了展示一个概念验证的神经形态BCI系统.
- 在神经形态硬件上使用尖端神经网络 (SNN) 几乎实时处理神经尖端事件.
- 评估系统的延迟和闭环应用程序的处理能力.
主要方法:
- 开发了一个系统来获取神经信号,并向SpinNaker硬件上的SNN传输峰值事件.
- 利用来自小鼠视觉皮层的体内记录和模拟的神经波形进行评估.
- 从尖端检测到SNN输出尖端的往返延迟测量.
主要成果:
- 在没有隐藏SNN层的情况下,实现了4.69ms (±1.70ms) 的平均往返延迟.
- 每一个额外的隐藏层都会增加大约3.65毫秒的延迟时间.
- 几乎实时地成功处理神经尖峰,适合闭环干预.
结论:
- 神经形态SNN可以快速处理神经信号,形成闭环BCI的基础.
- 这种方法有可能绕过受损的神经通路.
- 未来的工作包括为增强的神经假肢设备实施刺激协议.
相关概念视频
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