About

My research broadly focuses on understanding the dynamics of neural circuits that subserve cognitive functions in both artificial and biological systems, by adopting problem-solving approaches from physics, mathematics, electrical engineering, and computer science.

Publications

under review

Raju P. C. Geometric Stability: The Missing Axis of Representations. [link] [pdf] [code]

2024

Barreiro, A. K., Fontenele, A. J., Cheng, L., Raju P. C., Gautam, S. H., & Shew, W. L. (2024). Sensory input to cortex encoded on low-dimensional periphery-correlated subspaces. PNAS Nexus 3(1), [link] [pdf] [si]

2020

Golan, T., Raju P. C., & Kriegeskorte, N. (2020). Controversial stimuli: Pitting neural networks against each other as models of human cognition. Proceedings of the National Academy of Sciences, 117(47), 29330-29337 [link] [pdf] [si] [code]

Conference Abstracts

2020

Golan, T., Raju P. C., & Kriegeskorte, N. (2020). Controversial stimuli: adjudicating between deep neural network models of biological vision with synthetic images. Journal of Vision 20(11), 947 doi: 10.1167/jov.20.11.947 [link]

Golan, T., Raju P. C., & Kriegeskorte, N. (2020). Adjudicating between deep neural network models of biological vision with controversial stimuli. Unpublished conference paper. Computational and Systems Neuroscience (Cosyne) Denver, CO. (Poster III-53) [link] [poster]

Software

Shesha: Self-Consistency Metrics for Representational Stability.

Contact

I am always happy to help anyone looking to learn or looking to discuss anything related to neuroscience or AI.