Register-addressable memory enables computers to segregate where information is stored, ensuring that new information does not overwrite old information. In contrast, auto-associative information is stored in a shared population of neurons, which exposes it to the risk of accidentally overwriting old memories. Indeed, as we will see, this is an essential challenge with pattern recognition using networks of neurons.
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