Raghavendrarao T Pramod

The paper identifies the superior parietal lobule as a substrate for physical world modeling by showing neurons that predict physical events and encode intended hand actions.

This study investigates whether causal reasoning in the human brain involves a unified system or domain-specific regions, finding distinct brain networks for social and physical causal reasoning.

The paper investigates whether the Physics Network and Multiple Demand system in the human brain are distinct, finding they are dissociable spatially and functionally.

This study uses fMRI to show that physical reasoning involves a distinct brain network overlapping with the MD system but not the language system, suggesting it is not mediated by linguistic or exclusively domain-general abstract representations.

The paper shows that visual homogeneity, a property of object representations, enables solving property-based visual tasks by localizing computation in the object-selective cortex.

The paper investigates whether the brain or CNNs use invariant representations for physical stability judgments and finds such representations in fronto-parietal regions but not in the ventral visual pathway.

This study investigates whether deep neural networks perceive visual stimuli similarly to humans by testing if they exhibit known perceptual phenomena without explicit training.