TEM-t instantiates hippocampal indexing theory by using memory neurons to bind cortical representations across brain regions

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• TEM-t memory neurons show spatially-tuned firing resembling hippocampal place cells in each environmentfinding0.853
  Empirical result demonstrating that the sparse softmax activation of memory neurons produces place-cell-like spatial tuning.
• The Hippocampal Indexing Theory and Episodic Memory (Teyler & Rudy, 2007)concept0.808
  Original paper on hippocampal indexing theory; TEM-t is shown to instantiate this theory.
• TEM-t with linear activations learns grid-cell-like position encoding representations in 2D spatial environmentsfinding0.804
  Empirical result showing TEM-t recapitulates entorhinal grid cell representations with linear post-transition activation.
• TEM memory retrieval is mathematically equivalent to transformer self-attention without softmaxclaim0.794
  Central theoretical claim: a single step of TEM attractor dynamics equals a dot-product attention, making TEM a special case of transformer.
• TEM-t learns band-cell-like position encoding representations resembling Krupic et al. band cellsfinding0.776
  Empirical result showing TEM-t position encodings also recapitulate band cells, not just grid cells.
• Short-term cortical memory neurons may suffice for transformer-like computation in cortex without hippocampal involvement for non-long-term-memory taskshypothesis0.761
  Speculative hypothesis about how cortical transformer instantiation avoids requiring hippocampus.
• Novel place cell metric (largest connected component firing mass ratio) successfully distinguishes TEM-t memory neurons (place cells) from RNN neurons (grid cells)finding0.760
  Methodological validation result confirming the place-cell metric separates cell types in TEM-t.
• The Tolman-Eichenbaum Machine: Unifying Space and Relational Memory through Generalization in the Hippocampal Formation (Whittington et al., 2020)concept0.760
  Prior paper by the same lead author introducing TEM; the neuroscience model whose relationship to transformers is the central topic.