Publications - Nicholas Franklin

My research publications in computational neuroscience, machine learning, and reinforcement learning.

Ko J., Rontogiannis A., Ban Y.E.A., Elaldi A., Franklin, N. T., (2025) Sequence Sampling for Diverse Protein Design. arXiv
Liu, A., Elaldi, A., Franklin, N. T., Russell, N., Atwal, G. S., Ban, Y. E. A., Viessmann, O. (2025). Flash Invariant Point Attention. NeurIPS 2025.
Beukers, A. O., Collin, S. H., Kempner, R. P., Franklin, N. T., Gershman, S. J., & Norman, K. A. (2024). Blocked training facilitates learning of multiple schemas. Communications Psychology.
Franklin N.T., & Frank, M. J. (2020). Generalizing to generalize: humans flexibly switch between compositional and conjunctive structures during reinforcement learning. PLoS Computational Biology.
Franklin N.T., Norman K.A., Ranganath C., Zacks J.M., Gershman S.J. (2020). Structured event memory: a neuro-symbolic model of event cognition. Psychological Review.
Schulz E.*, Franklin N.T.*, Gershman S.J. (2020). Finding structure in multi-armed bandits. Cognitive Psychology. (* equal contribution)
Franklin N.T., & Frank, M. J. (2018). Compositional clustering in task structure learning. PLoS Computational Biology.
Franklin N.T., & Frank, M. J. (2015). A cholinergic feedback circuit to regulate striatal population uncertainty and optimize reinforcement learning. Elife.
Teslovich, T., Mulder, M., Franklin N.T., Ruberry, E. J., Millner, A., Somerville, L. H., Simen, P., Durston, S. & Casey, B. J. (2014). Adolescents let sufficient evidence accumulate before making a decision when large incentives are at stake. Developmental Science.
Casey, B. J., Somerville, L. H., Gotlib, I. H., Ayduk, O., Franklin N.T., Askren, M. K., Jonides J., Berman M. G., Wilson N. L., Teslovich T., & Glover, G (2011). Behavioral and neural correlates of delay of gratification 40 years later. Proceedings of the National Academy of Sciences.