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Updated: Mar 16, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
Functional neuroanatomy of intuitive physical inference
Jason Fischer1, John G Mikhael2, Joshua B Tenenbaum3
1Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139; The Center for Brains, Minds, and Machines, Massachusetts Institute of Technology, Cambridge, MA 02139; Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD 21202; jason.fischer@jhu.edu ngk@mit.edu.
Scientists discovered a "physics engine" in the brain using fMRI. This brain network helps us understand and predict physical events, connecting scene understanding with action planning.
Area of Science:
- Neuroscience
- Cognitive Science
- Physics Perception
Background:
- Humans intuitively understand physical dynamics for daily engagement.
- Predicting object interactions (support, force, motion) is crucial but poorly understood neurologically.
Purpose of the Study:
- Identify brain mechanisms for interpreting physical scene structure.
- Investigate neural basis of predicting physical event unfolding.
Main Methods:
- Functional magnetic resonance imaging (fMRI) experiments.
- Comparing brain activity during physical vs. non-physical scene perception and prediction tasks.
Main Results:
- Identified specific cortical regions selectively engaged in processing physical events.
- These regions form a brain
- physics engine
- distinct from non-physical tasks.
- Overlap observed with the multiple demand system, particularly action planning and tool use areas.
Conclusions:
- The brain possesses specialized regions for intuitive physics understanding.
- Neural mechanisms for physical inference are closely linked to action preparation and tool use.
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