Evidence map›Paper›PMID 37758476›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2023

The Structure of Hippocampal CA1 Interactions Optimizes Spatial Coding across Experience.

Michele Nardin, Jozsef Csicsvari, Gašper Tkačik, Cristina Savin

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Michele NardinInstitute of Science and Technology Austria, Klosterneuburg AT-3400, Austria.
Jozsef CsicsvariInstitute of Science and Technology Austria, Klosterneuburg AT-3400, Austria.ORCID 0000-0002-5193-4036
Gašper TkačikInstitute of Science and Technology Austria, Klosterneuburg AT-3400, Austria.
Cristina SavinCenter for Neural Science, New York University, New York, New York 10003 csavin@nyu.edu.

Funding

Austrian Science Fund FWF P 34015
6 · The paper itself

Abstract

Although much is known about how single neurons in the hippocampus represent an animal's position, how circuit interactions contribute to spatial coding is less well understood. Using a novel statistical estimator and theoretical modeling, both developed in the framework of maximum entropy models, we reveal highly structured CA1 cell-cell interactions in male rats during open field exploration. The statistics of these interactions depend on whether the animal is in a familiar or novel environment. In both conditions the circuit interactions optimize the encoding of spatial information, but for regimes that differ in the informativeness of their spatial inputs. This structure facilitates linear decodability, making the information easy to read out by downstream circuits. Overall, our findings suggest that the efficient coding hypothesis is not only applicable to individual neuron properties in the sensory periphery, but also to neural interactions in the central brain.

Indexed as

CA1 Region, HippocampalHippocampusAnimalsMaleNerve NetNeuronsRatshippocampusmaximum entropy modelsnetwork topologyneural codingnoise correlations

Identifiers

PMID37758476
PMCPMC10697404

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.