Invariant representations of mass in the human brain

Abstract

An intuitive understanding of physical objects and events is critical for successfully interacting with the world. Does the brain achieve this understanding by running simulations in a mental physics engine, which represents variables such as force and mass, or by analyzing patterns of motion without encoding underlying physical quantities? To investigate, we scanned participants with fMRI while they viewed videos of objects interacting in scenarios indicating their mass. Decoding analyses in brain regions previously implicated in intuitive physical inference revealed mass representations that generalized across variations in scenario, material, friction, and motion energy. These invariant representations were found during tasks without action planning, and tasks focusing on an orthogonal dimension (object color). Our results support an account of physical reasoning where abstract physical variables serve as inputs to a forward model of dynamics, akin to a physics engine, in parietal and frontal cortex.

Document Details

Document Type
Pub Defense Publication
Publication Date
Dec 17, 2019
Source ID
10.7554/elife.46619

Entities

People

  • Joshua B. Tenenbaum
  • Nancy Kanwisher
  • Sarah Schwettmann

Organizations

  • Massachusetts Institute of Technology
  • National Institutes of Health
  • National Science Foundation
  • Office of Naval Research

Tags

Readers

  • Computer Vision.
  • Neuroscience
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference