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Rishidev Chaudhuri
Bipartite expander Hopfield networks as self-decoding high-capacity error correcting codes
Rishidev Chaudhuri, Ila Fiete
Neural network models of memory and error correction famously include the Hopfield network, which can directly store--and error-correct through its dynamics-- arbitrary N-bit patterns, but only for N such patterns. On the other end of the spectrum, Shannon's coding theory established that it is possible to represent exponentially many states ( e
Bipartite expander Hopfield networks as self-decoding high-capacity error correcting codes
Rishidev Chaudhuri, Ila Fiete
Neural network models of memory and error correction famously include the Hopfield network, which can directly store--and error-correct through its dynamics-- arbitrary N-bit patterns, but only for N such patterns. On the other end of the spectrum, Shannon's coding theory established that it is possible to represent exponentially many states ( e