Merging Optics and Electronics In Neural Networks

Martin A. Brooke and Stephen P. DeWeerth

Over the past few decades a class of massively parallel, high-speed computational models, generically referred to as neural networks, has been intensely studied. These models are, in some form, based upon the structure and function of the neurobiological systems found in animals. Much of the interest in this field is due to the fact that biological systems are able to solve problems, such as visual object recognition and verbal communications, that are currently very difficult or impossible to solve using standard computational models.

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Merging Optics and Electronics In Neural Networks

Martin A. Brooke and Stephen P. DeWeerth

Over the past few decades a class of massively parallel, high-speed computational models, generically referred to as neural networks, has been intensely studied. These models are, in some form, based upon the structure and function of the neurobiological systems found in animals. Much of the interest in this field is due to the fact that biological systems are able to solve problems, such as visual object recognition and verbal communications, that are currently very difficult or impossible to solve using standard computational models.

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Publish Date: 01 June 1993


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