Rxivist logo

Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 62,745 bioRxiv papers from 278,406 authors.

The hippocampus as a predictive map

By Kimberly Lauren Stachenfeld, Matthew M. Botvinick, Samuel Gershman

Posted 28 Dec 2016
bioRxiv DOI: 10.1101/097170 (published DOI: 10.1038/nn.4650)

A cognitive map has long been the dominant metaphor for hippocampal function, embracing the idea that place cells encode a geometric representation of space. However, evidence for predictive coding, reward sensitivity, and policy dependence in place cells suggests that the representation is not purely spatial. We approach this puzzle from a reinforcement learning perspective: what kind of spatial representation is most useful for maximizing future reward? We show that the answer takes the form of a predictive representation. This representation captures many aspects of place cell responses that fall outside the traditional view of a cognitive map. Furthermore, we argue that entorhinal grid cells encode a low-dimensional basis set for the predictive representation, useful for suppressing noise in predictions and extracting multiscale structure for hierarchical planning.

Download data

  • Downloaded 14,768 times
  • Download rankings, all-time:
    • Site-wide: 48 out of 62,745
    • In neuroscience: 8 out of 11,207
  • Year to date:
    • Site-wide: 266 out of 62,745
  • Since beginning of last month:
    • Site-wide: 1,360 out of 62,745

Altmetric data

Downloads over time

Distribution of downloads per paper, site-wide

Sign up for the Rxivist weekly newsletter! (Click here for more details.)