Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

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

James CR Whittington, Timothy H Muller, Shirley Mark, Guifen Chen, Caswell Barry, Neil Burgess, Timothy EJ Behrens
doi: https://doi.org/10.1101/770495
James CR Whittington
Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital OX3 9DU
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: james.whittington@magd.ox.ac.uk behrens@fmrib.ox.ac.uk
Timothy H Muller
Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital OX3 9DU
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Shirley Mark
Wellcome Centre for Human Neuroimaging, University College London, London WC1N 3AR, United Kingdom
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Guifen Chen
Wellcome Centre for Human Neuroimaging, University College London, London WC1N 3AR, United Kingdom
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Caswell Barry
UCL Sainsbury Wellcome Centre for Neural Circuits and Behaviour, 25 Howland Street, London W1T 4JG, UKResearch department of Cell and Developmental Biology, UCL, Anatomy Building, Gower Street. London. WC1E 6BT
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Neil Burgess
Wellcome Centre for Human Neuroimaging, University College London, London WC1N 3AR, United KingdomUCL Inst of Cognitive Neuroscience, University College London, 17 Queen Square, London WC1N 3AZ, UKDept. of Neuroscience Physiology and Pharmacology, University College London, Gower Street, London, WC1E 6BT, UKUCL Sainsbury Wellcome Centre for Neural Circuits and Behaviour, 25 Howland Street, London W1T 4JG, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Timothy EJ Behrens
Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital OX3 9DUWellcome Centre for Human Neuroimaging, University College London, London WC1N 3AR, United KingdomUCL Sainsbury Wellcome Centre for Neural Circuits and Behaviour, 25 Howland Street, London W1T 4JG, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: james.whittington@magd.ox.ac.uk behrens@fmrib.ox.ac.uk
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

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 include grid, band, border and object-vector cells. Hippocampal cells include place and landmark cells, remapping 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 in simultaneously recorded place and grid cells.

One Sentence Summary Simple principles of representation and generalisation unify spatial and non-spatial accounts of hippocampus and explain many cell representations.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted September 16, 2019.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
The Tolman-Eichenbaum Machine: Unifying space and relational memory through generalisation in the hippocampal formation
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
Share
The Tolman-Eichenbaum Machine: Unifying space and relational memory through generalisation in the hippocampal formation
James CR Whittington, Timothy H Muller, Shirley Mark, Guifen Chen, Caswell Barry, Neil Burgess, Timothy EJ Behrens
bioRxiv 770495; doi: https://doi.org/10.1101/770495
Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools
The Tolman-Eichenbaum Machine: Unifying space and relational memory through generalisation in the hippocampal formation
James CR Whittington, Timothy H Muller, Shirley Mark, Guifen Chen, Caswell Barry, Neil Burgess, Timothy EJ Behrens
bioRxiv 770495; doi: https://doi.org/10.1101/770495

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (1647)
  • Biochemistry (2739)
  • Bioengineering (1907)
  • Bioinformatics (10243)
  • Biophysics (4183)
  • Cancer Biology (3218)
  • Cell Biology (4538)
  • Clinical Trials (135)
  • Developmental Biology (2840)
  • Ecology (4460)
  • Epidemiology (2041)
  • Evolutionary Biology (7231)
  • Genetics (5476)
  • Genomics (6813)
  • Immunology (2388)
  • Microbiology (7483)
  • Molecular Biology (2992)
  • Neuroscience (18584)
  • Paleontology (136)
  • Pathology (472)
  • Pharmacology and Toxicology (780)
  • Physiology (1149)
  • Plant Biology (2706)
  • Scientific Communication and Education (680)
  • Synthetic Biology (888)
  • Systems Biology (2846)
  • Zoology (468)