The Tolman-Eichenbaum Machine – Unifying space and relational memory through generalisation in the hippocampal formation

  • Datum: 07.11.2019
  • Uhrzeit: 11:15 - 12:15
  • Vortragende(r): James Whittington
  • University of Oxford
  • Ort: Max-Planck-Ring 8
  • Raum: room 203
  • Gastgeber: Peter Dayan
The Tolman-Eichenbaum Machine – Unifying space and relational memory through generalisation in the hippocampal formation

The hippocampal-entorhinal system is important for spatial and relational memory tasks. We formally link these domains; provide a mechanistic understanding of the hippocampal role in generalisation; and offer unifying principles underlying many entorhinal and hippocampal cell-types. We propose medial entorhinal cells form a basis describing structural knowledge, and hippocampal cells link this basis with sensory representations. Adopting these principles, we introduce the Tolman-Eichenbaum machine (TEM). After learning, TEM entorhinal cells display diverse properties resembling apparently bespoke spatial responses, such as grid, band, border and object-vector cells. TEM hippocampal cells include place and landmark cells, that remap between environments. Crucially, TEM also predicts empirically recorded representations in complex non-spatial tasks. TEM predicts hippocampal remapping is not random as previously believed. Rather structural knowledge is preserved across environments. We confirm this structural transfer over remapping in simultaneously recorded place and grid cells.

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