Molly A. Erickson

Reliability of computational versus noncomputational metrics of working memory and episodic memory in serious mental illness

Computational models can be used to decompose overall behavior into individual parameters that are designed to isolate specific cognitive and neural processes and provide new information about psychiatric disorders. However, it is not yet clear whether these computational parameters have sufficient reliability to repla...

Journal Pre-proof Distinct Attentional Control Profiles during Language Comprehension in Major Mental Health Disorders

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...