Evidence map›Paper›PMID 36322732›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Linking global top-down views to first-person views in the brain.

Jinwei Xing, Elizabeth R Chrastil, Douglas A Nitz, Jeffrey L Krichmar

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Jinwei XingDepartment of Cognitive Sciences, University of California, Irvine, CA 92697.ORCID 0000-0002-8085-2769
Elizabeth R ChrastilDepartment of Cognitive Sciences, University of California, Irvine, CA 92697.ORCID 0000-0003-2544-0152
Douglas A NitzDepartment of Cognitive Science, University of California San Diego, La Jolla, CA 92093.ORCID 0000-0002-3354-2450
Jeffrey L KrichmarDepartment of Cognitive Sciences, University of California, Irvine, CA 92697.ORCID 0000-0003-0739-2468

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans and other animals have a remarkable capacity to translate their position from one spatial frame of reference to another. The ability to seamlessly move between top-down and first-person views is important for navigation, memory formation, and other cognitive tasks. Evidence suggests that the medial temporal lobe and other cortical regions contribute to this function. To understand how a neural system might carry out these computations, we used variational autoencoders (VAEs) to reconstruct the first-person view from the top-down view of a robot simulation, and vice versa. Many latent variables in the VAEs had similar responses to those seen in neuron recordings, including location-specific activity, head direction tuning, and encoding of distance to local objects. Place-specific responses were prominent when reconstructing a first-person view from a top-down view, but head direction-specific responses were prominent when reconstructing a top-down view from a first-person view. In both cases, the model could recover from perturbations without retraining, but rather through remapping. These results could advance our understanding of how brain regions support viewpoint linkages and transformations.

Indexed as

BrainTemporal LobeAnimalsHeadHumansNeuronscognitive maphead direction cellsplace cellsroboticsvariational autoencoders

Identifiers

PMID36322732
PMCPMC9659407

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.