Space-time system architecture for the neural optical computing

Yee-Man Victor Lo

doi:10.1117/12.25212

1 February 1991 Space-time system architecture for the neural optical computing

Yee-Man Victor Lo

Proceedings Volume 1382, Intelligent Robots and Computer Vision IX: Neural, Biological, and 3D Methods; (1991) https://doi.org/10.1117/12.25212
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States

Abstract

The brain can perform the tasks of associative recall detection recognition and optimization. In this paper space-time system field models of the brain are introduced. They are called the space-time maximum likelihood associative memory system (ST-ML-AMS) and the space-time adaptive learning system (ST-ALS). Performance of the system is analyzed using the probability of error in memory recall (PEMR) and the space-time neural capacity (ST-NC). 1.

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Yee-Man Victor Lo "Space-time system architecture for the neural optical computing", Proc. SPIE 1382, Intelligent Robots and Computer Vision IX: Neural, Biological, and 3D Methods, (1 February 1991); https://doi.org/10.1117/12.25212

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