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Computing with Neural Circuits: A Model

Hopfield, John J. and Tank, David W. (1986) Computing with Neural Circuits: A Model. Science, 233 (4764). pp. 625-633. ISSN 0036-8075. http://resolver.caltech.edu/CaltechAUTHORS:20150107-141629752

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Abstract

A new conceptual framework and a minimization principle together provide an understanding of computation in model neural circuits. The circuits consist of nonlinear graded-response model neurons organized into networks with effectively symmetric synaptic connections. The neurons represent an approximation to biological neurons in which a simplified set of important computational properties is retained. Complex circuits solving problems similar to those essential in biology can be analyzed and understood without the need to follow the circuit dynamics in detail. Implementation of the model with electronic devices will provide a class of electronic circuits of novel form and function.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1126/science.3755256DOIArticle
http://www.sciencemag.org/content/233/4764/625PublisherArticle
http://www.jstor.org/stable/1698010JSTORArticle
Additional Information:© 1986 American Association for the Advancement of Science. Supported in part by NSF grant PCM-8406049.
Funders:
Funding AgencyGrant Number
NSFPCM-8406049
Record Number:CaltechAUTHORS:20150107-141629752
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20150107-141629752
Official Citation:Computing with neural circuits: a model JJ Hopfield and DW Tank Science 8 August 1986: 233 (4764), 625-633. [DOI:10.1126/science.3755256]
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:53295
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:08 Jan 2015 02:47
Last Modified:08 Jan 2015 02:47

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