A review article that explains Hopfield network mathematics and interprets the dynamics as signal retrieval, subspace projection, and energy landscape descent, then surveys applications to cell fate, self-assembly, and neural representations.
Storing infinite numbers of patterns in a spin-glass model of neural networks.Physical Review Letters, 55(14):1530, 1985
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Hopfield Networks as Models of Emergent Function in Biology
A review article that explains Hopfield network mathematics and interprets the dynamics as signal retrieval, subspace projection, and energy landscape descent, then surveys applications to cell fate, self-assembly, and neural representations.