Bio-inspired computing of vision — Fuzzy and neuromorphic processing
Autor: | Il Song Han, Woo Joon Han |
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Rok vydání: | 2011 |
Předmět: |
genetic structures
Artificial neural network business.industry Computer science Fuzzy set Simple cell Fuzzy logic eye diseases Visual cortex medicine.anatomical_structure Neuromorphic engineering medicine Computer vision Neuron Artificial intelligence Bio-inspired computing business Membership function |
Zdroj: | FUZZ-IEEE |
DOI: | 10.1109/fuzzy.2011.6007605 |
Popis: | 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. |
Databáze: | OpenAIRE |
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