Publications

Gangopadhyay, P.^, Chawla, M.^, Dal Monte, O., & Chang, S. W. (2020). Prefrontal–amygdala circuits in social decision-making. Nature Neuroscience, 1-14. (^Joint first authors) (Link)

Sanyal, P., Mukherjee, T.*, Barui, S., Das, A., & Gangopadhyay, P. (2018). Artificial intelligence in cytopathology: a neural network to identify papillary carcinoma on thyroid fine-needle aspiration cytology smears. Journal of pathology informatics, 9. (Link)

Beal, J.*, Haddock-Angelli, T.*, Baldwin, G.*, Gershater, M., Dwijayanti, A., Storch, M., ... & with the iGEM Interlab Study Contributors. (2018). Quantification of bacterial fluorescence using independent calibrants. PloS one, 13(6), e0199432. (Link)

Gangopadhyay, P.*, & Das, J. (2019). Do Primates and Deep Artificial Neural Networks Perform Object Categorization in a Similar Manner?. Journal of Neuroscience, 39(6), 946-948. (Link)

Gangopadhyay, P., & Arun, SP. (2019). How we recognize patterns on crumpled surfaces. SfN Conference, 2019.

Gangopadhyay, P., & Arun, SP. (2017). Patterns and surfaces combine linearly in visual search. BrainModes, 2017.

iGEM Team, IISc., (2016). Cellfiefuge. iGEM Giant Jamboree, 2016.

Gangopadhyay, P. (2019). Using Perceptual Dissimilarities to Study Invariances and Neural Tuning. MSc thesis. Undergraduate Department, Indian Institute of Science, Bangalore.

Gangopadhyay, P. (2018). Feature Integration in Visual Object Representations at the Perceptual and Neural Levels. BSc (Research) thesis. Undergraduate Department, Indian Institute of Science, Bangalore.