Neural computation by concentrating information in time.

D. W. Tank, J. J. Hopfield

Research output: Contribution to journalArticlepeer-review

261 Scopus citations


An analog model neural network that can solve a general problem of recognizing patterns in a time-dependent signal is presented. The networks use a patterned set of delays to collectively focus stimulus sequence information to a neural state at a future time. The computational capabilities of the circuit are demonstrated on tasks somewhat similar to those necessary for the recognition of words in a continuous stream of speech. The network architecture can be understood from consideration of an energy function that is being minimized as the circuit computes. Neurobiological mechanisms are known for the generation of appropriate delays.

Original languageEnglish (US)
Pages (from-to)1896-1900
Number of pages5
JournalProceedings of the National Academy of Sciences of the United States of America
Issue number7
StatePublished - Apr 1987

All Science Journal Classification (ASJC) codes

  • General


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