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An FPGA platform for generation of stimulus triggering based on intracortical spike activity in brain-machine-body interface (BMBI) applications

机译:在脑机体接口(BMBI)应用中基于皮质内尖峰活动生成刺激触发的FPGA平台

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Brain-machine-body interfaces (BMBIs) aim to create an artificial connection in the nervous system by converting neural activity recorded from one cortical region to electrical stimuli delivered to another cortical region, spinal cord, or muscles in real time. In particular, conditioning-mode BMBIs utilize such activity-dependent stimulation strategies to alter the strength of synaptic efficacy between remote regions of the nervous system and promote functional recovery after injury by exploiting mechanisms underlying neuroplasticity. This paper presents a reconfigurable, field-programmable gate array (FPGA)-based platform that incorporates digital spike discrimination based on user-set thresholding and time-amplitude windowing, as well as decision-making circuitry to generate multichannel stimulation triggers derived from intracortical neural spike activity. The algorithm has been synthesized on a Cyclone II FPGA using Altera's Quartus II design software and validated with prerecorded intracortical neural spike activity from an anesthetized laboratory rat.
机译:脑机界面(BMBI)旨在通过将从一个皮层区域记录的神经活动转换为实时传递到另一皮层区域,脊髓或肌肉的电刺激,从而在神经系统中建立人为连接。特别地,调节模式BMBI利用这种依赖于活动的刺激策略来改变神经系统远端区域之间突触功效的强度,并通过利用潜在的神经可塑性机制促进损伤后的功能恢复。本文提出了一种基于FPGA的可重构,现场可编程门阵列平台,该平台结合了基于用户设置的阈值和时间振幅开窗的数字尖峰识别以及决策电路,可生成源自皮层内神经的多通道刺激触发峰值活动。该算法已使用Altera的Quartus II设计软件在Cyclone II FPGA上进行了合成,并已使用预先记录的麻醉实验室大鼠的皮质内神经尖峰活动进行了验证。

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