Hippocampal Spatial Mapping As Fast Graph Learning (Lewis, 2021)

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

• The hippocampus as a spatial map (O'Keefe & Dostrovsky, 1971)concept0.804
  Original discovery of place cells; the neural phenomenon TEM-t memory neurons resemble.
• The hippocampus as a predictive map (Stachenfeld et al., 2017)concept0.799
  Graph representation model of hippocampus; related work category 2.
• Hippocampal Indexing Theoryframework0.773
  Theory that hippocampus provides an index binding together cortical patterns across different brain regions; TEM-t is shown to instantiate this.
• Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps (George et al., 2021)concept0.755
  Latent state inference model of spatial cognition; related work category 3.
• Emergence of grid-like representations by training recurrent neural networks to perform spatial localization (Cueva & Wei, 2018)concept0.750
  RNN model recapitulating grid cells; related work category 4.
• in-context learning tasks with complex graph geometriesconcept0.748
  Tasks involving graph-structured geometries for in-context learning, used to test manifold steering.
• In-context learning tasks with graph geometriesconcept0.745
  Language model experimental setting with complex relational structure.
• Hippocampal representation of related and opposing memories (McKenzie et al., 2014)concept0.730
  Experimental evidence that hippocampal neurons respond to more than two task variables; motivates multi-input extension of TEM-t.