Bio-inspired Visual Information Processing – The Neuromorphic Approach

Woo Han; Il Han

Bio-Inspired Models of Network, Information, and Computing Systems. 5th International ICST Conference, BIONETICS 2010, Boston, USA, December 1-3, 2010, Revised Selected Papers

Research Article

Bio-inspired Visual Information Processing – The Neuromorphic Approach

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@INPROCEEDINGS{10.1007/978-3-642-32615-8_61,
    author={Woo Han and Il Han},
    title={Bio-inspired Visual Information Processing -- The Neuromorphic Approach},
    proceedings={Bio-Inspired Models of Network, Information, and Computing Systems. 5th International ICST Conference, BIONETICS 2010, Boston, USA, December 1-3, 2010, Revised Selected Papers},
    proceedings_a={BIONETICS},
    year={2012},
    month={10},
    keywords={neural networks CMOS vision neuromorphic visual cortex simple cell Hodgkin-Huxley formalism},
    doi={10.1007/978-3-642-32615-8_61}
}

Woo Han
Il Han
Year: 2012
Bio-inspired Visual Information Processing – The Neuromorphic Approach
BIONETICS
Springer
DOI: 10.1007/978-3-642-32615-8_61

Woo Han¹^,*, Il Han¹^,*

1: Korea Advanced Institute of Sciecne and Technology

*Contact email: woo.han@kaist.ac.kr, i.s.han@kaist.ac.kr

Abstract

This paper describes the bio-inspired visual information processing by neuromorphic system, mimicking the primitive behavior 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 cat’s visual cortex experimentation of Hubel and Wiesel. The detection of human head figure or pose demonstrates the feasibility of vision applications.

Keywords: neural networks CMOS vision neuromorphic visual cortex simple cell Hodgkin-Huxley formalism

Published: 2012-10-18

: http://dx.doi.org/10.1007/978-3-642-32615-8_61