Evidence map›Paper›PMID 35635277›Full record

ArticleeLife2022

Invariant representation of physical stability in the human brain.

R T Pramod, Michael A Cohen, Joshua B Tenenbaum, Nancy Kanwisher

Abstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Dissociation between physical reasoning and tool use in individuals with left hemisphere brain damage.Cortex; a journal devoted to the study of the nervous system and behavior · 2026
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  8. Population encoding of observed and actual somatosensations in the human posterior parietal cortex.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Article
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  11. Are You a Closet Dualist? Evidence From Brief Implicit Association Task.Open mind : discoveries in cognitive science · 2025
    Article
  12. Review
  13. Graspable foods and tools elicit similar responses in visual cortex.Cerebral cortex (New York, N.Y. : 1991) · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. The Role of Agentive and Physical Forces in the Neural Representation of Motion Events.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  18. Article
  19. Article
  20. 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.

R T PramodCenter for Brains, Minds and Machines, Massachusetts Institute of Technology, Cambridge, United States.ORCID 0000-0002-5933-7893
Michael A CohenDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, United States.
Joshua B TenenbaumCenter for Brains, Minds and Machines, Massachusetts Institute of Technology, Cambridge, United States.
Nancy KanwisherCenter for Brains, Minds and Machines, Massachusetts Institute of Technology, Cambridge, United States.ORCID 0000-0003-3853-7885

Funding

How Does the Functional Organization of the Human Brain Arise in Development?DP1HD091947 · NICHD · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KANWISHER, NANCY · 2016 to 2020
$5.4M
Upgrade to 3 Tesla MRI scanner for brain imaging at MITS10OD021569 · OD · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIELI, JOHN · 2016 to 2016
$600k
NICHD NIH HHS DP1 HD091947NIH HHS S10 OD021569
6 · The paper itself

Abstract

Successful engagement with the world requires the ability to predict what will happen next. Here, we investigate how the brain makes a fundamental prediction about the physical world: whether the situation in front of us is stable, and hence likely to stay the same, or unstable, and hence likely to change in the immediate future. Specifically, we ask if judgments of stability can be supported by the kinds of representations that have proven to be highly effective at visual object recognition in both machines and brains, or instead if the ability to determine the physical stability of natural scenes may require generative algorithms that simulate the physics of the world. To find out, we measured responses in both convolutional neural networks (CNNs) and the brain (using fMRI) to natural images of physically stable versus unstable scenarios. We find no evidence for generalizable representations of physical stability in either standard CNNs trained on visual object and scene classification (ImageNet), or in the human ventral visual pathway, which has long been implicated in the same process. However, in frontoparietal regions previously implicated in intuitive physical reasoning we find both scenario-invariant representations of physical stability, and higher univariate responses to unstable than stable scenes. These results demonstrate abstract representations of physical stability in the dorsal but not ventral pathway, consistent with the hypothesis that the computations underlying stability entail not just pattern classification but forward physical simulation.

Indexed as

BrainBrain MappingHumansMagnetic Resonance ImagingNeural Networks, ComputerPhotic Stimulationdeep convolutional neural networkshumanintuitive physicsneurosciencephysical stability

Identifiers

PMID35635277
PMCPMC9150889

What OpenQuestion holds

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LicenceCC BY
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.