Hetero-associative memory Symbolic AI; Deep Learning
noun phrase
Definition: An associative-memory model that stores mappings between different input and output patterns, so that presentation of one pattern can retrieve a different paired pattern rather than the same pattern. This is the standard contrast with autoassociative memory [Morales, Pineda 2025].
Example in context: “The associative memory network matches the input patterns to the corresponding output patterns by bidirectional hetero-associative memory.” [Li et al. 2025]
Synonyms: hetero associative memory
Related terms: associative memory; autoassociative memory; bidirectional associative memory