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

Modeling place cells and grid cells in multi-compartment environments: hippocampal-entorhinal loop as a multisensory integration circuit

Tianyi Li, Angelo Arleo, View ORCID ProfileDenis Sheynikhovich
doi: https://doi.org/10.1101/602235
Tianyi Li
aSorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012 Paris, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Angelo Arleo
aSorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012 Paris, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Denis Sheynikhovich
aSorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012 Paris, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Denis Sheynikhovich
  • For correspondence: tianyi.li@inserm.fr angelo.arleo@inserm.fr denis.sheynikhovich@upmc.fr
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Hippocampal place cells and entorhinal grid cells are thought to form a representation of space by integrating internal and external sensory cues. Experimental studies show that different subsets of place cells are controlled by vision, self-motion or a combination of both. Moreover, recent studies in environments with a high degree of visual aliasing suggest that a continuous interaction between place cells and grid cells can result in a deformation of hexagonal grids or in a progressive loss of visual cue control. The computational nature of such a bidirectional interaction remains unclear. In this work we present a neural network model of a dynamic loop between place cells and grid cells. The model is tested in two recent experimental paradigms involving double-room environments that provide conflicting evidence about visual cue control over self-motion-based spatial codes. Analysis of the model behavior in the two experiments suggests that the strength of hippocampal-entorhinal dynamical loop is the key parameter governing differential cue control in multi-compartment environments. Construction of spatial representations in visually identical environments requires weak visual cue control, while synaptic plasticity is regulated by the mismatch between visual- and self-motion representations. More gener-ally our results suggest a functional segregation between plastic and dynamic processes in hippocampal processing.

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 April 09, 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.
Modeling place cells and grid cells in multi-compartment environments: hippocampal-entorhinal loop as a multisensory integration circuit
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Modeling place cells and grid cells in multi-compartment environments: hippocampal-entorhinal loop as a multisensory integration circuit
Tianyi Li, Angelo Arleo, Denis Sheynikhovich
bioRxiv 602235; doi: https://doi.org/10.1101/602235
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Modeling place cells and grid cells in multi-compartment environments: hippocampal-entorhinal loop as a multisensory integration circuit
Tianyi Li, Angelo Arleo, Denis Sheynikhovich
bioRxiv 602235; doi: https://doi.org/10.1101/602235

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

  • Animal Behavior and Cognition
Subject Areas
All Articles
  • Animal Behavior and Cognition (4840)
  • Biochemistry (10767)
  • Bioengineering (8026)
  • Bioinformatics (27216)
  • Biophysics (13947)
  • Cancer Biology (11096)
  • Cell Biology (16019)
  • Clinical Trials (138)
  • Developmental Biology (8764)
  • Ecology (13255)
  • Epidemiology (2067)
  • Evolutionary Biology (17332)
  • Genetics (11670)
  • Genomics (15891)
  • Immunology (11005)
  • Microbiology (26023)
  • Molecular Biology (10620)
  • Neuroscience (56412)
  • Paleontology (417)
  • Pathology (1729)
  • Pharmacology and Toxicology (2999)
  • Physiology (4534)
  • Plant Biology (9611)
  • Scientific Communication and Education (1610)
  • Synthetic Biology (2677)
  • Systems Biology (6963)
  • Zoology (1508)