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The hippocampus as a predictive map

Overview of attention for article published in Nature Neuroscience, October 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Citations

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351 Dimensions

Readers on

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1261 Mendeley
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4 CiteULike
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Title
The hippocampus as a predictive map
Published in
Nature Neuroscience, October 2017
DOI 10.1038/nn.4650
Pubmed ID
Authors

Kimberly L Stachenfeld, Matthew M Botvinick, Samuel J Gershman

Abstract

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-dimensionality basis set for the predictive representation, useful for suppressing noise in predictions and extracting multiscale structure for hierarchical planning.

Twitter Demographics

The data shown below were collected from the profiles of 271 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1,261 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Germany 1 <1%
Unknown 1259 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 351 28%
Researcher 215 17%
Student > Master 167 13%
Student > Bachelor 148 12%
Student > Doctoral Student 65 5%
Other 157 12%
Unknown 158 13%
Readers by discipline Count As %
Neuroscience 393 31%
Psychology 158 13%
Computer Science 155 12%
Agricultural and Biological Sciences 137 11%
Engineering 68 5%
Other 131 10%
Unknown 219 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 173. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 August 2021.
All research outputs
#154,131
of 20,027,474 outputs
Outputs from Nature Neuroscience
#294
of 4,963 outputs
Outputs of similar age
#4,107
of 293,631 outputs
Outputs of similar age from Nature Neuroscience
#10
of 61 outputs
Altmetric has tracked 20,027,474 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,963 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 49.7. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 293,631 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.