Bio-inspired computing of vision — Fuzzy and neuromorphic processing

Abstract

This paper describes the early vision of bio-inspired neuromorphic system enhanced by fuzzy processing, mimicking the primitive behaviour of visual cortex. The proposed bio-inspired system exhibits the biologically plausible function of mimicking the cat's visual cortex experimentation of Hubel and Wiesel. The neuromorphic implementation of vision is inspired by the directional visual signal selectivity of cortex and the CMOS spiking neuron based on Hodgkin-Huxley formalism. The membership function is introduced to improve the early vision and the improvement is demonstrated for robust applications, based on the recognition of human head figures.