Announcements

Presentations at RLDM and Cog Sci 2022

Yixin Chen presented new findings on computational models of voluntary persistence at the Reinforcement Learning and Decision Making and Cognitive Science Society meetings in Summer 2022. Chen, Y. & McGuire, J.T. (2022, June). RL with temporal representations captures phenotypes of adaptive persistence behavior. Poster at the 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making, […]

Preprint on adaptive learning

Check out Leah Bakst’s preprint presenting eye-tracking evidence for adaptive learning across statistical contexts. Bakst, L., & McGuire, J.T. (2022). Experience-driven recalibration of learning from surprising events. PsyArXiv. https://doi.org/10.31234/osf.io/3rh9a

Poster at OHBM 2020

The lab presented new findings on vmPFC organization at the virtual meeting of the Organization for Human Brain Mapping. Individual-specific functional architecture and activation patterns in medial prefrontal cortex. Claudio Toro-Serey, Yixin Chen, Lauren Sussman, Joseph T. McGuire

Leah Bakst’s talk at VSS 2020

Leah Bakst presented new findings on brain representations of uncertainty in a talk at the virtual meeting of the Vision Sciences Society: Dynamic spotlight model recovers the position but not the width of covert spatial attention. Leah Bakst, Ilona Bloem, Joseph T. McGuire, and Sam Ling View the talk here!