On a Model of Associative Memory with Huge Storage Capacity (Demircigil et al., 2017)

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Associative memory modelframework0.844
• Large Associative Memory Problem in Neurobiology and Machine Learning (Krotov & Hopfield, 2020)concept0.832
  Paper proposing neurally plausible instantiation of Hopfield/transformer with feature neurons and memory neurons; used to derive place cell interpretation.
• Efficient hardware support for large n-dimensional associative memory would enable implementations of diverse object models.finding0.828
• Dense Associative Memory for Pattern Recognition (Krotov & Hopfield, 2016)concept0.817
  Paper exploring two-type feature binding in dense associative memory; analogous to TEM-t binding g and x in memory neurons.
• Cooperation between the associative memory primitive and storage management is required for efficient garbage collection, especially as n grows beyond 2.hypothesis0.810
• Garbage Collection in n-dimensional Associative Memoryclaim0.795
  Piumarta argues the primary practical challenge is storage management: when any key becomes unreachable, all values indexed by that key must be deleted, requiring cooperation between primitive mechanism and garbage collector.
• Associative Memoryconcept0.793
  Memory system that stores patterns in connection weights and recalls them from partial or noisy cues; property of Hopfield networks and evolved networks
• The capacity for unlimited associative learning is not a good indicator for consciousness in AI.claim0.764
  Rejecting UAL as a reliable indicator for artificial systems.