Implementation of a neuromorphic vestibular sensor with analog VLSI neurons

Abstract

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.