Modeling decision dynamics disentangles working memory, cognitive control and reinforcement learning and reveals clinical differences
Various neurocognitive processes contribute to reinforcement learning (RL) and decision making, requiring careful task designs and computational modeling to disentangle them. People rely on capacity-limited working memory (WM) to rapidly and flexibly adapt behavior during learning, together with slower incremental RL p...
Krishn Bera, Alexander Fengler, Megan A. Boudewyn et al.
· PLoS Computational Biology · 0 citations