Computing with neural circuits: A model

John J. Hopfield, David W. Tank

Research output: Contribution to journalArticlepeer-review

1458 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)625-633
Number of pages9
Issue number4764
StatePublished - 1986
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • General


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