Maximally Reliable Markov Chains Under Energy Constraints. - G. Sean Escola; Michael Eisele; Kenneth D. Miller; Liam Paninski (Neural Comput., 2009)

Hidden Markov Models for the Stimulus-Response Relationships of Multistate Neural Systems. - G. Sean Escola; Alfredo Fontanini; Donald B. Katz; Liam Paninski (Neural Comput., 2011)

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)

Thalamocortical motor circuit insights for more robust hierarchical control of complex sequences. - Laureline Logiaco; G. Sean Escola (CoRR, 2020)

Data science, human intelligence, and therapeutics discovery: An interview with Sean Escola, Saul Kato, and Pavan Ramkumar. - Pavan Ramkumar; Saul Kato; G. Sean Escola (Patterns, 2022)

Hierarchical confounder discovery in the experiment-machine learning cycle. - Alex Rogozhnikov; Pavan Ramkumar; Rishi Bedi; Saul Kato; G. Sean Escola (Patterns, 2022)