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Proceedings Paper

Neural Analog Information Processing
Author(s): Robert Hecht-Nielsen
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Paper Abstract

Neural Analog Information Processing (NAIP) is an effort to develop general purpose pattern classification architectures based upon biological information processing principles. This paper gives an overview of NAIP and its relationship to the previous work in neural modeling from which its fundamental principles are derived. It also presents a theorem concerning the stability of response of a slab (a two dimensional array of identical simple processing units) to time-invariant (spatial) patterns. An experiment (via computer emulation) demonstrating classification of a spatial pattern by a simple, but complete NAIP architecture is described. A concept for hardware implementation of NAIP architectures is briefly discussed.

Paper Details

Date Published: 30 July 1982
PDF: 4 pages
Proc. SPIE 0298, Real-Time Signal Processing IV, (30 July 1982); doi: 10.1117/12.932522
Show Author Affiliations
Robert Hecht-Nielsen, Motorola Government Electronics Division (United States)


Published in SPIE Proceedings Vol. 0298:
Real-Time Signal Processing IV
Tien F. Tao, Editor(s)

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