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RT Pramod

@rtpramod.bsky.social

140 followers 250 following 14 posts

Postdoc at MIT. Cognitive Neuroscience.

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RT Pramod @rtpramod.bsky.social · Jun 17

Thrilled to announce our new publication titled 'Decoding predicted future states from the brain's physics engine' with @emiecz.bsky.social, Cyn X. Fang, @nancykanwisher.bsky.social, @joshtenenbaum.bsky.social

www.science.org/doi/full/10....

(1/n)

Decoding predicted future states from the brain’s “physics engine”

Using fMRI in humans, this study provides evidence for future state prediction in brain regions involved in physical reasoning.

www.science.org

Reposted by RT Pramod

PessoaBrain @pessoabrain.bsky.social · 10h

𝗔 𝗡𝗘𝗨𝗥𝗢𝗘𝗖𝗢𝗟𝗢𝗚𝗜𝗖𝗔𝗟 𝗣𝗘𝗥𝗦𝗣𝗘𝗖𝗧𝗜𝗩𝗘 𝗢𝗡 𝗧𝗛𝗘 𝗣𝗥𝗘𝗙𝗥𝗢𝗡𝗧𝗔𝗟 𝗖𝗢𝗥𝗧𝗘𝗫
By Mars and Passingham
"Understanding anthropoid foraging challenges may thus contribute to our understanding of human cognition"
Going to the top of the reading list!
doi.org/10.1016/j.ne...
#neuroskyence

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Setayesh Radkani @setayeshradkani.bsky.social · Aug 8

🚨Out in PNAS🚨
with @joshtenenbaum.bsky.social & @rebeccasaxe.bsky.social

Punishment, even when intended to teach norms and change minds for the good, may backfire.

Our computational cognitive model explains why!

Paper: tinyurl.com/yc7fs4x7
News: tinyurl.com/3h3446wu

🧵

Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...

Reposted by RT Pramod

Vivian Paulun @vivianpaulun.bsky.social · Aug 1

Super excited to share our new article: “Dissociable cortical regions represent things and stuff in the human brain” with @nancykanwisher.bsky.social, @rtpramod.bsky.social and @joshtenenbaum.bsky.social

Video abstract: www.youtube.com/watch?v=B0XR...

Paper: authors.elsevier.com/a/1lWxv3QW8S...

Things and Stuff: How the brain distinguishes oozing fluids from solid objects

YouTube video by McGovern Institute

www.youtube.com

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Hope Kean @hopekean.bsky.social · Aug 3

Is the Language of Thought == Language? A Thread 🧵
New Preprint (link: tinyurl.com/LangLOT) with @alexanderfung.bsky.social, Paris Jaggers, Jason Chen, Josh Rule, Yael Benn, @joshtenenbaum.bsky.social, ‪@spiantado.bsky.social‬, Rosemary Varley, @evfedorenko.bsky.social
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Evidence from Formal Logical Reasoning Reveals that the Language of Thought is not Natural Language

Humans are endowed with a powerful capacity for both inductive and deductive logical thought: we easily form generalizations based on a few examples and draw conclusions from known premises. Humans al...

Reposted by RT Pramod

Haoliang Wang @wanghaoliang.bsky.social · Jul 29

Can you tell if a tower will fall or if two objects will collide — just by looking? 🧠👀 Come check out my #CogSci2025‪ poster (P1-W-207) on July 31, 13:00–14:15 PT to learn how people do general-purpose physical reasoning from visual input!

RT Pramod @rtpramod.bsky.social · Jun 19

Good question! We haven't tested these cases you've mentioned but Jason Fischer's 2016 paper found that PN doesn't respond strongly to social prediction (on hieder and simmel-like displays)

RT Pramod @rtpramod.bsky.social · Jun 19

We have started to look in the cerebellum. It is still early days so keep an eye out for updates in the future!

Reposted by RT Pramod

RT Pramod @rtpramod.bsky.social · Jun 17

Thrilled to announce our new publication titled 'Decoding predicted future states from the brain's physics engine' with @emiecz.bsky.social, Cyn X. Fang, @nancykanwisher.bsky.social, @joshtenenbaum.bsky.social

www.science.org/doi/full/10....

(1/n)

Decoding predicted future states from the brain’s “physics engine”

Using fMRI in humans, this study provides evidence for future state prediction in brain regions involved in physical reasoning.

www.science.org

RT Pramod @rtpramod.bsky.social · Jun 17

Thanks to my co-authors and all the people who gave constructive feedback over the course of this project! Special shout out to Kris Brewer for shooting the videos used in Experiment 1 and @georginawooxy.bsky.social for her deep neural network expertise.

(12/12)

RT Pramod @rtpramod.bsky.social · Jun 17

Our findings show that PN has abstract object contact information and provide the strongest evidence yet that PN is engaged in predicting what will happen next. These results open many new avenues of investigation into how we understand, predict, and plan in the physical world

(11/n)

RT Pramod @rtpramod.bsky.social · Jun 17

Our main results are i) not present in the ventral temporal cortex, ii) not present in the primary visual cortex -- i.e, our stimuli were unlikely to have low-level visual confounds and iii) are replicable with different analysis criteria & methods. See paper for details.

(10/n)

RT Pramod @rtpramod.bsky.social · Jun 17

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)

RT Pramod @rtpramod.bsky.social · Jun 17

That is,
(8/n)

When we see this: Does the PN predict this?

RT Pramod @rtpramod.bsky.social · Jun 17

In our second pre-registered fMRI experiment, we tested the central tenet of the ‘physics engine’ hypothesis – that the PN runs forward simulations to predict what will happen next. If true, PN should contain information about predicted future states before they occur.

(7/n)

RT Pramod @rtpramod.bsky.social · Jun 17

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)

RT Pramod @rtpramod.bsky.social · Jun 17

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)

RT Pramod @rtpramod.bsky.social · Jun 17

However, there was no evidence for such predicted future state information in the PN. We realized that object-object contact is an excellent way to test the Physics Engine hypothesis. When two objects are in contact, their fate is intertwined:

(4/n)

RT Pramod @rtpramod.bsky.social · Jun 17

These results have led to the hypothesis that the Physics Network (PN) is our brain’s ‘Physics Engine’ – a generative model of the physical world (like those used in video games) capable of running simulations to predict what will happen next.

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RT Pramod @rtpramod.bsky.social · Jun 17

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)

RT Pramod @rtpramod.bsky.social · Jun 17

Thrilled to announce our new publication titled 'Decoding predicted future states from the brain's physics engine' with @emiecz.bsky.social, Cyn X. Fang, @nancykanwisher.bsky.social, @joshtenenbaum.bsky.social

www.science.org/doi/full/10....

(1/n)

Decoding predicted future states from the brain’s “physics engine”

Using fMRI in humans, this study provides evidence for future state prediction in brain regions involved in physical reasoning.

www.science.org

Reposted by RT Pramod

Emalie McMahon @emaliemcmahon.bsky.social · Apr 23

I am excited to share our recent preprint and the last paper of my PhD! Here, @imelizabeth.bsky.social, @lisik.bsky.social, Mick Bonner, and I investigate the spatiotemporal hierarchy of social interactions in the lateral visual stream using EEG-fMRI.

osf.io/preprints/ps...

#CogSci #EEG

Shown is an example image that participants viewed either in EEG, fMRI, and a behavioral annotation task. There is also a schematic of a regression procedure for jointly predicting fMRI responses from stimulus features and EEG activity.

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Heather L Kosakowski @kosakowski.bsky.social · Apr 22

When you see this image, does it make you wonder what that baby is thinking. Do you think the baby is merely perceiving a set of shapes or do you think that the baby is also inferring meaning from the face they are looking at? (1/5)

Video of a baby on its parent's chest looking at the parent's face and smiling.

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ammar i marvi @aimarvi.bsky.social · Apr 22

**ecstatic** to share our @iclr-conf.bsky.social paper: sparse components distinguish visual pathways & their alignment to neural networks, with @nancykanwisher.bsky.social and meenakshi khosla (openreview.net/forum?id=IqH...)

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Sparse components distinguish visual pathways & their alignment to...

The ventral, dorsal, and lateral streams in high-level human visual cortex are implicated in distinct functional processes. Yet, deep neural networks (DNNs) trained on a single task model the...

Reposted by RT Pramod

SP Arun @sparuniisc.bsky.social · Apr 18

In a study now out in @eLife, @GeorginJacob @PramodRT9 and I have some exciting results: a novel computation that helps the brain solve disparate visual tasks, a novel brain region that performs this computation....what's not to like?! Read on.... 1/n
elifesciences.org/articles/93033

Visual homogeneity computations in the brain enable solving property-based visual tasks

Seemingly disparate property-based tasks (oddball search, same-different and symmetry) are solved by computing a novel image property, visual homogeneity, which is localized to the object selective co...

elifesciences.org

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Laura K. Nelson @lauraknelson.bsky.social · Apr 1

Academics - where are academic jobs posted for non-UK non-North American countries? If you were looking for jobs in, say, the Nordic countries, or Australia, where do you look? Asking for all the PhDs who are on the market this year. (Pls no April fools jokes, their nerves are frayed as it is)