Bio-inspired visual information processing - The neuromorphic approach

Abstract

This paper describes the bio-inspired visual inforamtion processing by neuromorphic system, mimicking the primitive behaviour of visual cortex. The neuromorphic components are investigated for implementation of the visual signal selectivity of cortex, based on the CMOS conductance-based synaptic connections and neurons of Hodgkin-Huxley formalism. The proposed neuromorphic system exhibits the biologically plausible function mimicking the cats visual cortex experimentation of Hubel and Wiesel. The detection of vehicle object or human head figure demonstrates the feasibilty of vision applications.