Bio-inspired computing of vision — Fuzzy and neuromorphic processing

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.