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

Experience dependent contextual codes in the hippocampus

View ORCID ProfileMark H. Plitt, View ORCID ProfileLisa M. Giocomo
doi: https://doi.org/10.1101/864090
Mark H. Plitt
Department of Neurobiology, Stanford University, Stanford CA USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Mark H. Plitt
  • For correspondence: giocomo@stanford.edu mplitt@stanford.edu
Lisa M. Giocomo
Department of Neurobiology, Stanford University, Stanford CA USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Lisa M. Giocomo
  • For correspondence: giocomo@stanford.edu mplitt@stanford.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Data/Code
  • Preview PDF
Loading

Abstract

The hippocampus is a medial temporal lobe brain structure that contains circuitry and neural representations capable of supporting declarative memory. Hippocampal place cells fire in one or few restricted spatial locations in a given environment. Between environmental contexts, place cell firing fields remap (turning on/off or moving to a new spatial location), providing a unique population-wide neural code for context specificity. However, the manner by which features associated with a given context combine to drive place cell remapping remains a matter of debate. Here we show that remapping of neural representations in region CA1 of the hippocampus is strongly driven by prior beliefs about the frequency of certain contexts, and that remapping is equivalent to an optimal estimate of the identity of the current context under that prior. This prior-driven remapping is learned early in training and remains robust to changes in behavioral task-demands. Furthermore, a simple associative learning mechanism is sufficient to reproduce these results. Our findings demonstrate that place cell remapping is a generalization of representing an animal’s location. Rather than simply representing location in physical space, the hippocampus represents an optimal estimate of location in a multi-dimensional stimulus space.

Footnotes

  • https://drive.google.com/file/d/14mK3G9tKqs6e6_OuhnTzb6HxNQg4r5Sr/view?usp=sharing

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 December 03, 2019.
Download PDF

Supplementary Material

Data/Code
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.
Experience dependent contextual codes in the hippocampus
(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
Experience dependent contextual codes in the hippocampus
Mark H. Plitt, Lisa M. Giocomo
bioRxiv 864090; doi: https://doi.org/10.1101/864090
Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools
Experience dependent contextual codes in the hippocampus
Mark H. Plitt, Lisa M. Giocomo
bioRxiv 864090; doi: https://doi.org/10.1101/864090

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 (4539)
  • Clinical Trials (135)
  • Developmental Biology (2840)
  • Ecology (4461)
  • Epidemiology (2041)
  • Evolutionary Biology (7231)
  • Genetics (5477)
  • Genomics (6813)
  • Immunology (2390)
  • Microbiology (7485)
  • Molecular Biology (2993)
  • Neuroscience (18584)
  • Paleontology (136)
  • Pathology (472)
  • Pharmacology and Toxicology (780)
  • Physiology (1150)
  • Plant Biology (2706)
  • Scientific Communication and Education (680)
  • Synthetic Biology (888)
  • Systems Biology (2846)
  • Zoology (468)