Invariant representations of mass in the human brain | eLife

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 a

Invariant representations of mass in the human brain | eLife Version of Record February 7, 2020 Accepted Manuscript December 17, 2019 Download Cite Share Comment Open annotations (there are currently 0 annotations on this page). 3,792 views 567 downloads 64 citations Altmetric provides a collated score for online attention across various platforms and media. See more details Related to Share this article Doi Copy to clipboard Cite this article Sarah Schwettmann Joshua B Tenenbaum Nancy Kanwisher (2019) Invariant representations of mass in the human brain eLife 8 :e46619. https://doi.org/10.755

related reading

• When Models Manipulate Manifolds: The Geometry of a Counting Tasktransformer-circuits.pub
• Intuitive experimentation in the physical worldcicl.stanford.edu
• The Unbearable Slowness of Beingarxiv.org
• https://io0.github.ioio0.github.io
• A brain-wide map of neural activity during complex behaviournature.com
• Semantic reconstruction of continuous language from non-invasive brain recordings | Nature Neurosciencenature.com
• AI to Interpret Your Mindjonathanxu.com
• Cartoon Epistemology by Steven Lehar (2003) | Qualia Computingqualiacomputing.com
• Representational geometry: integrating cognition, computation, and the brain - PMCncbi.nlm.nih.gov
• This is how your brain makes your mind | MIT Technology Reviewtechnologyreview.com
• Generalist - The Dark Matter of Robotics: Physical Commonsensegeneralistai.com
• On the Learnability of Physical Concepts: Can a Neural Network Understand What’s Real?arxiv.org