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RT Pramod

@rtpramod.bsky.social
181 followers 282 following 15 posts

Postdoc at MIT. Cognitive Neuroscience.

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RT Pramod @rtpramod.bsky.social · 17/06/2025
Short answer: Yes! Using MVPA we found that the PN has information about predicted contact events (i.e., collisions). This was true not only within a scenario (the ‘roll’ scene above), but also generalized across scenarios indicating the abstractness of representation. (9/n)
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RT Pramod @rtpramod.bsky.social · 17/06/2025
That is, (8/n) When we see this: Does the PN predict this?
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RT Pramod @rtpramod.bsky.social · 17/06/2025
Given their importance for prediction, we hypothesized that the PN would encode object contact. In our first pre-registered fMRI experiment, we used multi-voxel pattern analysis (MVPA) and found that only PN carried scenario-invariant information about object contact. (6/n)
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RT Pramod @rtpramod.bsky.social · 17/06/2025
If a container moves, then so does its containee, but the same is not true of an object that is merely occluded by the container without contacting it! (5/n)
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RT Pramod @rtpramod.bsky.social · 17/06/2025
How do we understand, plan and predict in the physical world? Prior research has implicated fronto-parietal regions of the human brain (the ‘Physics Network’, PN) in physical judgement tasks, including in carrying representations of object mass & physical stability. (2/n)
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