具有模拟VLSI神经元的神经形态前庭传感器的实现

G. Passetti, Federico Corradi, Marco Raglianti, Davide Zambrano, C. Laschi, G. Indiveri
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引用次数: 5

摘要

本研究旨在使用商用惯性测量单元(IMU)和定制模拟VLSI神经形态芯片实现事件驱动的神经形态前庭传感器。我们研究了一个前庭传感器的模型,模拟了毛细胞在半规管中的尖峰反应。我们校准神经形态芯片以匹配神经科学计算模型的参数。实验结果验证了硬件实现和校准过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of a neuromorphic vestibular sensor with analog VLSI neurons
This work aims at implementing an event driven neuromorphic vestibular sensor using a commercial Inertial Measurement Unit (IMU) and a custom analog VLSI neuromorphic chip. We investigate a model of the vestibular sensor that emulates the spiking responses of hair cells in the semicircular canals. We calibrate the neuromorphic chip to match the parameters of a neuroscientific computational model. Experimental results validating the hardware implementation and the calibration procedure are presented.
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