Theoretical Neuroscience & Artificial Intelligence
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.
Raju P. C. Geometric Stability: The Missing Axis of Representations. [link] [pdf] [code]
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]
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]
Raju P. C. From Syntax to Semantics: Geometric Stability as the Missing Axis of Perturbation Biology. [link] [pdf] [code]
Raju P. C. (2026). Geometric Stability: The Missing Axis of Representations. Spotlight Award. Unpublished conference paper. 7th International Conference on the Mathematics of Neuroscience and AI. Rome, Italy.
Raju P. C. (2026). Geometric Phase Transition Enables Extreme Hippocampal Memory Capacity. Unpublished conference paper. 7th International Conference on the Mathematics of Neuroscience and AI. Rome, Italy.
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 Unpublished conference paper.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]
Shesha: Self-Consistency Metrics for Representational Stability.
I am always happy to help anyone looking to learn or looking to discuss anything related to neuroscience or AI.