Large Associative Memory Problem in Neurobiology and Machine Learning (Krotov & Hopfield, 2020)

Where ideas in this concept connect to the rest of the corpus — the same concept, an analogy, or a restatement elsewhere.

• Feature Neurons and Memory Neurons Architecture
  ~Place Cells· biology

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

• Dense Associative Memory for Pattern Recognition (Krotov & Hopfield, 2016)concept0.839
  Paper exploring two-type feature binding in dense associative memory; analogous to TEM-t binding g and x in memory neurons.
• On a Model of Associative Memory with Huge Storage Capacity (Demircigil et al., 2017)concept0.832
  Analytical result showing exponential power activation allows memory storage scaling as 2^(N/2); cited in context of Hopfield scaling.
• Efficient hardware support for large n-dimensional associative memory would enable implementations of diverse object models.finding0.793
• Associative Memoryconcept0.779
  Memory system that stores patterns in connection weights and recalls them from partial or noisy cues; property of Hopfield networks and evolved networks
• Associative memory modelframework0.776
• Associative learning criterion can occur in gene regulatory networks and non-neural morphogenetic agentshypothesis0.775
• Associative learning occurs in gene regulatory networks and other non-neural systems, making it substrate-independent.claim0.766
• 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.