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Journal article

Neural learning

Memory as a network attractor

Recurrent networks linked associative memory with the dynamics of physical systems.

John J. Hopfield

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The contribution

Hopfield studied networks whose collective dynamics could recover stored patterns from partial or imperfect input. The relationship between stable states and memory made recurrent neural computation accessible through an energy-based mathematical viewpoint.

What this does not establish

Stable states and successful retrieval depend on the model and stored patterns. This is not a model of every form of biological memory.

Why this date?

The journal article appeared in April 1982.

This entry follows the linked publication. Read the source and date conventions.

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