A visual pattern recognizing computer program based on neurophysiological data | Zendy

Wallingford Earle G. | Zendy

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A visual pattern recognizing computer program based on neurophysiological data

Author(s) -

Wallingford Earle G.

Publication year - 1972

Publication title -

behavioral science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.371

H-Index - 45

eISSN - 1099-1743

pISSN - 0005-7940

DOI - 10.1002/bs.3830170208

Subject(s) - computer science , artificial intelligence , hypercomplex number , neurophysiology , pattern recognition (psychology) , computer program , computer vision , neuroscience , psychology , mathematics , programming language , geometry , quaternion

A computer program which is capable of recognizing visual patterns is described. The program simulates lower order hypercomplex cells of the visual system (Hubel & Wiesel, 1965) and uses their hypothetical output to describe and remember visual patterns. The program is similar to a model of human and animal pattern recognition proposed by Sutherland (1968). An auditory pattern recognizing model, also based on simulated individual cells is proposed. Also proposed is a model of a movement detecting recognizer of three‐dimensional visual patterns which would achieve size constancy.

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