Cherian T., Jacob G., & Arun S. P. (2025) Do monkeys see the way we do? Qualitative similarities and differences between monkey and human perception ( biorXiv)

Rajesh N., Jacob G.,  & Arun S. P. (2024) Brain-like emergent properties in deep networks: impact of network architecture, datasets and training (arXiv)

Jacob, G., Pramod, R. T., & Arun, S. P. (2025). Visual homogeneity computations in the brain enable solving generic visual tasks. Elife, 13, RP93033  (Codes and Data|Tweet Summary). Media Coverage: (Times of India)

Jacob, G., Katti, H., Cherian, T., Das, J., Zhivago, K. A., & Arun, S. P. (2021). A naturalistic environment to study visual cognition in unrestrained monkeys. Elife, 10, e63816 (Codes and Data|Tweet Summary). Media Coverage: (Times of India|Bangalore Mirror).

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 Communication, 12, 1872.  (Codes and Data|Tweet Summary). Media Coverage: (Hindu|Times of India|Indian Express).

Jacob, G., & Arun, S. P. (2020). How the forest interacts with the trees: Multiscale shape integration explains global and local processing. Journal of Vision, 20(10), 20-20. (Codes and Data|Tweet Summary)

Jacob, G., Prasad, R., Lee, G. C., Opoku-Baah, C., & George, R. (2024). A consensus approach to train deep learning models to predict glaucoma progression from visual field data. Investigative Ophthalmology & Visual Science, 65(7), 4801-4801. 

Opoku-Baah, C., Lee, G. C., Jacob, G., Medeiros, F., Jammal, A., & Manivannan, N. (2024). Leveraging archetypal analysis for classifying glaucomatous visual field defects. Investigative Ophthalmology & Visual Science, 65(7), 1637-1637. 

George, R., Jacob, G., & Prasad, R. (2024). Rates of glaucomatous visual field progression in a large Indian cohort. Investigative Ophthalmology & Visual Science, 65(7), 4798-4798. 

Jacob, G., Arun, S. P. (2022). Visual search asymmetries are explained by visual homogeneity. VSS 2022.  (Talk) 

Jacob, G., Arun, S. P. (2021). Evidence of distinctiveness computations in human brain revealed by target-absent searches. V-VSS 2021.  (Poster) (Walk-Through)

Jacob, G., Gulati, D., Pramod, R. T., & Arun, S. P. (2020). Why are target absent searches so systematic?. Journal of Vision, 20(11), 1742-1742. (Talk)

Jacob, G., Pramod, R. T., Katti, H., & Arun, S. P. (2020). Do deep network see the way we do? From Neuroscience to Artificially Intelligent System, CSHL.

Jacob, G., & Arun, S. P. (2019). Multiscale shape integration explains Global and Local processing, ACCS

Jacob, G., Pramod, R. T., Katti, H., & Arun, S. P. (2018). Comparing perception in deep neural networks and humans. Journal of Vision, 18(10), 900-900.

Jacob, G., & Arun, S. P. (2017). Shape relations at multiple scales combine linearly. Brain Modes 

Jacob, G., & Arun, S. P. (2017). We see the forests before the trees but how do they combine? Shape information combines linearly across multiple scales. Journal of Vision, 17(10), 1247-1247.

Jacob, G., & Jiji, C. V. (2012, December). Image recovery from partial wavelet coefficients via sparse representation. In Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing (p. 63). ACM.