Abstract

In recent decades, research on the structure and function of mind and brain has led to the development of a powerful new paradigm which is now being applied and adapted to a variety of problems in many disciplines. This paradigm is based on the mathematical theory of neural networks. Neural network theory includes formal architectures comprised of a large number of highly interconnected neuronlike processing elements having adjustable or adaptive interconnection strengths. Some twenty-one papers in the 1 December 1987 issue of Applied Optics bring together the work of scientists who are developing the basic theory as well as its technological uses.

© 1987 Optical Society of America

Computer-aided microscopy in medicine: introduction to the 15 August 1987 issue of Applied Optics

Norman J. Pressman
Appl. Opt. 26(16) 3199-3209 (1987)

Electronic hardware implementations of neural networks

A. P. Thakoor, A. Moopenn, John Lambe, and S. K. Khanna
Appl. Opt. 26(23) 5085-5092 (1987)

Optical neural networks: an introduction by the feature editors

Kelvin Wagner and Demetri Psaltis
Appl. Opt. 32(8) 1261-1263 (1993)

Adaptive, associative, and self-organizing functions in neural computing

Teuvo Kohonen
Appl. Opt. 26(23) 4910-4918 (1987)

Optoelectronic resonator neural networks

Yuri Owechko
Appl. Opt. 26(23) 5104-5111 (1987)