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Current Opinion in Behavioral Sciences|August 31, 2016
Taming the beast: extracting generalizable knowledge from computational models of cognitionMatthew R Nassar, Michael J FrankElife|August 22, 2019
Statistical context dictates the relationship between feedback-related EEG signals and learningMatthew R Nassar, Rasmus Bruckner, Michael J FrankPsychological Review|June 29, 2018
Chunking as a rational strategy for lossy data compression in visual working memoryMatthew R Nassar, Julie C Helmers, Michael J FrankJournal of Cognitive Neuroscience|June 8, 2018
A Control Theoretic Model of Adaptive Learning in Dynamic EnvironmentsHarrison Ritz, Matthew R Nassar, Michael J Frank, et al.Nature Human Behaviour|May 8, 2019
Positive reward prediction errors during decision-making strengthen memory encodingAnthony I Jang, Matthew R Nassar, Daniel G Dillon, et al.Biorxiv : the Preprint Server for Biology|April 16, 2025
Adaptive learning via BG-thalamo-cortical circuitryQin He, Daniel N Scott, Michael J Frank, et al.Brain : a Journal of Neurology|January 12, 2021
All or nothing belief updating in patients with schizophrenia reduces precision and flexibility of beliefsMatthew R Nassar, James A Waltz, Matthew A Albrecht, et al.The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|February 2, 2022
Adaptive Learning through Temporal Dynamics of State RepresentationNiloufar Razmi, Matthew R NassarTrends in Cognitive Sciences|September 29, 2021
The computational challenge of social learningOriel FeldmanHall, Matthew R NassarCognitive, Affective & Behavioral Neuroscience|November 25, 2020
The stability flexibility tradeoff and the dark side of detailMatthew R Nassar, Vanessa TroianiPageof 26