An Analog VLSI Model of Adaptation in the Vestibulo-Ocular Reflex

Abstract

The vestibulo-ocular reflex (VOR) is the primary mechanism that controls the compensatory eye movements that stabilize retinal images during rapid head motion. The primary pathways of this system are feed-forward, with inputs from the semicircular canals and outputs to the oculomotor system. Since visual feedback is not used directly in the VOR computation, the system must exploit motor learning to perform correctly. Lisberger(1988) has proposed a model for adapting the VOR gain using image-slip information from the retina. We have designed and tested analog very large-scale integrated (VLSI) circuitry that implements a simplified version of Lisberger's adaptive VOR model.

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