Evidence map›Paper›PMID 40446048›Full record

ArticleScience advances2025

Decoding predicted future states from the brain's "physics engine".

R T Pramod, Elizabeth Mieczkowski, Cyn X Fang, Joshua B Tenenbaum, Nancy Kanwisher

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

R T PramodDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02138, USA.ORCID 0000-0002-5933-7893
Elizabeth MieczkowskiDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02138, USA.ORCID 0009-0009-4879-5678
Cyn X FangDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02138, USA.ORCID 0009-0003-2432-6718
Joshua B TenenbaumDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02138, USA.ORCID 0000-0002-1925-2035
Nancy KanwisherDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02138, USA.ORCID 0000-0003-3853-7885

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Successful engagement with the physical world requires the ability to predict future events and plan interventions to alter that future. Growing evidence implicates a set of regions in the human parietal and frontal lobes [also known as the "physics network" (PN)] in such intuitive physical inferences. However, the central tenet of this hypothesis, that PN runs forward simulations to predict future states, remains untested. In this preregistered study, we first show that PN abstractly represents whether two objects are in contact with each other, a physical scene property critical for prediction (because objects' fates are intertwined when they are in contact). We then show that PN (but not other visual areas) carries abstract information about predicted future contact events (i.e., collisions). These findings support the hypothesis that PN contains a generative model of the physical world that conducts forward simulations, serving as the brain's "physics engine."

Indexed as

BrainFrontal LobeParietal LobeAdultBrain MappingFemaleHumansMale

Identifiers

PMID40446048
PMCPMC12124385

What OpenQuestion holds

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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.