1. Simon, S., Munda, S., Cherian, T., Saha, S., Jacob, G., Das, J., Bhadra, D., & Arun, S. P. (2026). Resolving the treachery of images: Neural signatures during natural interactions with real objects are as reliable as while viewing images. bioRxiv, 2026-04. 

2. Saha S, Simon S, Munda S, Cherian T, Jacob G, Das J, Bhadra D & Arun SP (2026). High-level visual and motor regions are doubly dissociated in controlled tasks but only at specific times during natural behaviors (bioRxiv), 2026

3. Joby, J., Simon, S., Cherian, T., Jacob, G., Das, J., Munda, S., Saha, S., Bhadra, D., & Arun, S. P. (2026). Do monkeys dream about food while sleeping? bioRxiv, 2026-09. https://doi.org/10.64898/2026.09.30.755371

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

1. Cherian, T., Jacob, G., & Arun, S. P. (2026). Do monkeys see the way we do? Qualitative similarities and differences between monkey and human perception. eLife, 15, e110743. 

2. 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)

3. 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).

4. 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).

5. 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)

1. Jacob, G., Lee, G. C., Salehi, A., Prasad, R., Chitralekha, S. D., & George, R. J. (2025). Transformer-based forecasting of future glaucomatous visual fields. Investigative Ophthalmology & Visual Science, 66(8), 402-402 

2. George, R. J., Jacob, G., Chitralekha, S. D., Prasad, R., Lee, G. C., & Mani, B. (2025). Changes in visual field reliability indices over serial visual fields in a large patient cohort. Investigative Ophthalmology & Visual Science, 66(8), 5721. 

3. Choudhry, R. M., Jacob, G., Lee, G. C., Prasad, R., & Pal, T. (2025). Patterns of glaucomatous visual field deterioration in an Indian population. Investigative Ophthalmology & Visual Science, 66(8), 5739. 

4. 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. 

5. 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. 

6. 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. 

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

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

9. 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)

10. 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.

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

12. 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.

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

14. 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.

15. 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.

Jacob G (2022) How are visual object representations organized and used to perform tasks? PhD thesis, Electrical Communication Engineering, Indian Institute of Science, Bangalore.