一个实时的神经解码器用于解码在单个嗅觉中感知到的气味身份
IEEE transactions on bio-medical engineering
|September 30, 2025
概括
这项研究引入了一个实时的神经解码器来分类来自小鼠大脑活动的气味. 现场可编程的门阵列系统以最小的延迟实现高精度,推进神经解码应用程序.
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
- 计算神经科学是一种神经科学.
背景情况:
- 神经解码从神经活动中重建感官刺激.
- 实时处理对于闭环神经系统至关重要.
- 嗅觉处理涉及复杂的神经计算.
研究的目的:
- 开发和评估一个实时的神经解码器硬件.
- 使用神经反应,以最小的延迟对吸入的气味物进行分类.
- 为了评估解码器在醒着的小鼠中的性能.
主要方法:
- 在现场可编程网关阵列 (FPGA) 上实现神经解码器.
- 在清醒的小鼠的嗅球中记录来自中枢/状细胞的神经尖峰.
- 根据使用实时解码器的嗅觉智能人口活动对气味物进行分类.
主要成果:
- 基于FPGA的神经解码器实现了2.36微秒的处理延迟.
- 该系统根据神经活动准确地分类吸入的气味物.
- 性能与传统的线下神经解码方法相当.
结论:
- 嗅觉刺激的实时神经解码在最小的延迟时间下是可行的.
- 开发的硬件为神经科学研究提供了一个有前途的工具.
- 这项技术可以推进闭环神经控制和感官系统研究中的应用.
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