Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics. - Kanaka Rajan; L. F. Abbott; Haim Sompolinsky (NIPS, 2010)

Learning Quadratic Receptive Fields from Neural Responses to Natural Stimuli. - Kanaka Rajan; Olivier Marre; Gasper Tkacik (Neural Comput., 2013)

full-FORCE: A Target-Based Method for Training Recurrent Networks. - Brian DePasquale; Christopher J. Cueva; Kanaka Rajan; G. Sean Escola; L. F. Abbott (CoRR, 2017)

A brain basis of dynamical intelligence for AI and computational neuroscience. - Joseph D. Monaco; Kanaka Rajan; Grace M. Hwang (CoRR, 2021)

Efficient and robust multi-task learning in the brain with modular task primitives. - Christian David Marton; Guillaume Lajoie; Kanaka Rajan (CoRR, 2021)

Curriculum learning as a tool to uncover learning principles in the brain. - Daniel R. Kepple; Rainer Engelken; Kanaka Rajan (ICLR, 2022)

A 'programming' framework for recurrent neural networks. - Manuel Beiran; Camille A. Spencer-Salmon; Kanaka Rajan (Nat. Mac. Intell., 2023)

Position: AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research. - Riley Simmons-Edler; Ryan Paul Badman; Shayne Longpre; Kanaka Rajan (ICML, 2024)

AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research. - Riley Simmons-Edler; Ryan Paul Badman; Shayne Longpre; Kanaka Rajan (CoRR, 2024)

Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks. - Ann Huang; Satpreet H. Singh; Kanaka Rajan (CoRR, 2024)

Military AI Needs Technically-Informed Regulation to Safeguard AI Research and its Applications. - Riley Simmons-Edler; Jean Dong; Paul Lushenko; Kanaka Rajan; Ryan Paul Badman (CoRR, 2025)

Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments. - Riley Simmons-Edler; Ryan Paul Badman; Felix Baastad Berg; Raymond Chua; John J. Vastola; Joshua Lunger; William Qian 001; Kanaka Rajan (CoRR, 2025)

POCO: Scalable Neural Forecasting through Population Conditioning. - Yu Duan; Hamza Tahir Chaudhry; Misha B. Ahrens; Christopher D. Harvey; Matthew G. Perich; Karl Deisseroth; Kanaka Rajan (CoRR, 2025)

From Memories to Maps: Mechanisms of In-Context Reinforcement Learning in Transformers. - Ching Fang; Kanaka Rajan (CoRR, 2025)