Publications

Ivanova, A. A., Sathe, A., Lipkin, B., Kumar, U., Radkani, S., Clark, T. H., Kauf, C., Hu, J., Pramod, R.T.,  … & Andreas, J. (2024). Elements of World Knowledge (EWOK): A cognition-inspired framework for evaluating basic world knowledge in language models. arXiv preprint arXiv:2405.09605.

Paulun, V. C., Pramod, R. T., Tenenbaum, J. B., & Kanwisher, N. (2025). Dissociable cortical regions represent things and stuff in the human brain. Current Biology. (Video Abstract | PopSci | X thread)

Pramod, R. T., Mieczkowski, E., Fang, C. X., Tenenbaum, J. B., & Kanwisher, N. (2025). Decoding predicted future states from the brain’s “physics engine”. Science Advances, 11(22), eadr7429. (X thread)

Jacob, G., Pramod, R. T., & Arun, S. P. (2025). Visual homogeneity computations in the brain enable solving generic visual tasks. eLife, 13, RP93033. (X thread)

Kean, H. H., Fung, A., Pramod, R. T., Chomik-Morales, J., Kanwisher, N., & Fedorenko, E. (2025). Intuitive physical reasoning is not mediated by linguistic nor exclusively domain-general abstract representations.  Neuropsychologia, 109125.

Pramod, R. T., Katti, H., & Arun, S. P. (2022). Human peripheral blur is optimal for object recognition. Vision research, 200, 108083.

Pramod, R. T., Cohen, M. A., Tenenbaum, J. B., & Kanwisher, N. (2022). Invariant representation of physical stability in the human brain. Elife, 11, e71736.

Jacob, G., Pramod, R. T., Katti, H., & Arun, S. P. (2021). Qualitative similarities and differences in visual object representations between brains and deep networks. Nature communications, 12(1), 1872.

Pramod, R. T., & Arun, S. P. (2020). Improving machine vision using human perceptual representations: the case of planar reflection symmetry for object classification. IEEE transactions on pattern analysis and machine intelligence, 44(1), 228-241.

Nanguneri, S., Pramod, R. T., Efimova, N., Das, D., Jose, M., Svitkina, T., & Nair, D. (2019). Characterization of nanoscale organization of f-actin in morphologically distinct dendritic spines in vitro using supervised learning. Eneuro, 6(4).

Pramod, R. T., & Arun, S. P. (2018). Symmetric objects become special in perception because of generic computations in neurons. Psychological science, 29(1), 95-109.

Pramod, R. T., & Arun, S. P. (2016). Object attributes combine additively in visual search. Journal of vision, 16(5), 8-8.

Pramod, R. T., & Arun, S. P. (2014). Features in visual search combine linearly. Journal of vision, 14(4), 6-6.

Pramod, R. T., Chomik, J., Schulz, L., & Kanwisher, N. (2023). A region in human left prefrontal cortex selectively engaged in causal reasoning. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 46).

Bear, D. M., Wang, E., Mrowca, D., Binder, F. J., Tung, H. Y. F., Pramod, R. T., … & Fan, J. E. (2021). Physion: Evaluating physical prediction from vision in humans and machines. Advances in Neural Information Processing Systems: Benchmark Track.

Pramod, R. T., & Arun, S. P. (2016). Do computational models differ systematically from human object perception?. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 1601-1609).

Pramod, R. T., Hutchinson, S., & Kanwisher, N. (2025). Intuitive physical and domain-general reasoning are dissociable in the human brain. Vision Sciences Society – 2025. St. Pete Beach, Florida, USA. 

Pramod, R.T., Tenenbaum, J., Kanwisher, N. (2024) Unlike brains, pre-trained CNNs do not encode current or predicted object contact. Cognitive Computational Neuroscience (CCN) – 2024. Boston, Massachusetts, USA. 

Rowlands, M., Pramod, R.T., … Rossit, S. (2024) Investigating deficits in intuitive physics post-stroke. Organisation for Psychological Research into Stroke (OPsyRIS) – 2024. Bournemouth, United Kingdom. 

Pramod, R.T., Mieczkowski, E., Fang, C.X., Tenenbaum, J., Kanwisher, N. (2024) Decoding predicted future states from the brain’s ‘physics engine’. Vision Sciences Society – 2024. St. Pete Beach, Florida, USA. 

Pramod, R. T., Chomik, J., Schulz, L., & Kanwisher, N. (2023) Reasoning about social and physical causes engages the left lateral prefrontal cortex in the human brain. Neuroscience – 2023: Annual meeting of Society for Neuroscience, Washington DC, USA.

Paulun, V., Pramod R. T., Kanwisher, N. (2023). ‘Things’ vs ‘Stuff’ in the brain. Vision Sciences Society – 2023. St. Pete Beach, Florida, USA. 

DeFaria, W., Pramod R. T., Kanwisher, N. (2023). Decoding the mass of familiar objects using MEG. Vision Sciences Society – 2023. St. Pete Beach, Florida, USA. 

RaFaey, K., Pramod R. T., … Kanwisher, N. & Brunner, P. (2020). Passive functional mapping of visual areas using electrocorticographic signals in humans. Annual American Epilepsy Society meeting 

Pramod R T, Cohen M, Lydic K, Tenenbaum J, & Kanwisher N (2020). Evidence that the Brain’s Physics Engine Runs Forward Simulations of What will Happen Next. Vision Sciences Society – 2020. St. Pete Beach, Florida, USA. 

Jacob G, Gulati D, Pramod R T & Arun S P (2020). Why are target absent searches so systematic?. Vision Sciences Society – 2020. St. Pete Beach, Florida, USA. 

Pramod R T & Arun S P (2018) Symmetry produces distinctive, not greater BOLD activation in object-selective cortex. Vision Sciences Society – 2018. St. Pete Beach, Florida, USA. 

Georgin Jacob, Pramod R T, Harish Katti & Arun S P (2018) Comparing perception in deep neural networks and humans. Vision Sciences Society – 2018. St. Pete Beach, Florida, USA. 

Pramod R T & Arun S P (2017) Generic computations at the neural level can explain symmetry perception. BrainModes 2017. National Brain Research Centre (NBRC), Manesar, India. 

Pramod R T & Arun S P (2017) Does symmetry have a special status in single neurons? Vision Sciences Society – 2017. St. Pete Beach, Florida, USA. 

Pramod R T & Arun S P (2015) What is lacking in computational models of object vision? International conference on Cognition, Brain and Computation: CBC – 2015. IIT-Gandhinagar, India. 

Saurabh Farkya, Pramod R T & Arun S P (2015) How do orientations combine in visual search? International conference on Cognition, Brain and Computation: CBC – 2015. IIT-Gandhinagar, India. 

Arun S P & Pramod R T (2015) Can computational models of shape explain object perception? Models of Vision (MODVIS) – 2015. St. Pete Beach, Florida, USA. 

Pramod R T & Arun S P (2015) Object dissimilarities in visual search: the whole is equal to the sum of parts. Vision Sciences Society – 2015. St. Pete Beach, Florida, USA. 

Pramod R T & Arun S P (2014) How do object parts determine dissimilarity relations? Neuroscience – 2014: Annual meeting of Society for Neuroscience, Washington DC, USA. 

Murty, N. A. R., & Pramod, R. T. (2016). To what extent does global shape influence category representation in the brain?. Journal of Neuroscience, 36(15), 4149-4151.