Schemas and neural networks for sixth generation computing
Journal Article
·
· Journal of Parallel and Distributed Computing; (USA)
- Center for Neural Engineering, Univ. of Southern California, Los Angeles, CA (US)
The study of animal and human brains suggests overall architectural principles for sixth generation computers. Each such machine will comprise a network of more specialized devices, with many of these devices structured as highly parallel arrays of interacting neuron-like, possibly adaptive, components. The authors stress the interaction between computational neurobiology and neural engineering and note the two grains of analysis of schemas and neural networks, arguing that schemas will be the programming language of the sixth generation. After a brief introduction to the variety of neuron models now current, schemas are exemplified in a discussion of high-level vision. The paper emphasizes the domain-specific structure neural networks, as well as emphasizing that technologists have much to learn from the study of neurobiological systems. The authors close with a brief account of adaptation and the programming of sixth generation computers.
- OSTI ID:
- 5345778
- Journal Information:
- Journal of Parallel and Distributed Computing; (USA), Journal Name: Journal of Parallel and Distributed Computing; (USA) Vol. 6:2; ISSN JPDCE; ISSN 0743-7315
- Country of Publication:
- United States
- Language:
- English
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