Skip to Main Content

Advertisement

MIT Press Direct, home Open Menu
header search
Search
Advanced Search
Skip Nav Destination

How Working Memory and Reinforcement Learning Are Intertwined: A Cognitive, Neural, and Computational Perspective

Journal of Cognitive Neuroscience (2022) 34 (4): 551–568.
This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.
An algorithmic account for how humans efficiently learn, transfer, and compose hierarchically structured decision policies
  • Jing-Jing Li
  • Anne G.E. Collins
Cognition (2025) 254: 105967.
Learning to Move and Plan like the Knight: Sequential Decision Making with a Novel Motor Mapping
  • Carlos A. Velázquez-Vargas
  • Jordan A. Taylor
Computational Brain & Behavior (2025)
Reversal learning is influenced by cognitive flexibility and develops throughout early adolescence
  • Christoph Bamberg
  • Sarah Weigelt
  • Klara Hagelweide
npj Science of Learning (2025) 10 (1)
Make it worth it: Effort-reward modulations on reinforcement-learning and prediction-error signaling across adolescence
  • Anne-Wil Kramer
  • Lydia Krabbendam
  • Jessica V. Schaaf
  • Hilde M. Huizenga
  • Anna C.K. Van Duijvenvoorde
Developmental Cognitive Neuroscience (2025) 73: 101559.
Noradrenergic and Dopaminergic modulation of meta-cognition and meta-control
  • Sara Ershadmanesh
  • Sahar Rajabi
  • Reza Rostami
  • Rani Moran
  • Peter Dayan
  • Alireza Soltani
PLOS Computational Biology (2025) 21 (2): e1012675.
Adolescent and adult mice use both incremental reinforcement learning and short term memory when learning concurrent stimulus-action associations
  • Juliana Chase
  • Liyu Xia
  • Lung-Hao Tai
  • Wan Chen Lin
  • Anne G. E. Collins
  • Linda Wilbrecht
  • Lyle J. Graham
PLOS Computational Biology (2024) 20 (12): e1012667.
The role of reinforcement learning in shaping the decision policy in methamphetamine use disorders
  • Sadegh Ghaderi
  • Mohammad Hemami
  • Reza Khosrowabadi
  • Jamal Amani Rad
Journal of Choice Modelling (2024) 50: 100469.
Representation and computation in visual working memory
  • Paul M. Bays
  • Sebastian Schneegans
  • Wei Ji Ma
  • Timothy F. Brady
Nature Human Behaviour (2024) 8 (6): 1016.
Dysfunctional feedback processing in male methamphetamine abusers: Evidence from neurophysiological and computational approaches
  • Sadegh Ghaderi
  • Jamal Amani Rad
  • Mohammad Hemami
  • Reza Khosrowabadi
Neuropsychologia (2024) 197: 108847.
Working memory constraints for visuomotor retrieval strategies
  • Carlos A. Velázquez-Vargas
  • Jordan A. Taylor
Journal of Neurophysiology (2024) 132 (2): 347.
Transdiagnostic inflexible learning dynamics explain deficits in depression and schizophrenia
  • Hans Kirschner
  • Matthew R Nassar
  • Adrian G Fischer
  • Thomas Frodl
  • Gabriela Meyer-Lotz
  • Sören Froböse
  • Stephanie Seidenbecher
  • Tilmann A Klein
  • Markus Ullsperger
Brain (2024) 147 (1): 201.
What’s in a name: The role of verbalization in reinforcement learning
  • Jessica V. Schaaf
  • Annie Johansson
  • Ingmar Visser
  • Hilde M. Huizenga
Psychonomic Bulletin & Review (2024) 31 (6): 2746.
Evaluating the Effects of Different Cognitive Tasks on Autonomic Nervous System Responses: Implementation of a High‐Precision, Low‐Cost Complementary Method
  • Nazli Karimi Ahmadi
  • Sezgi Firat Ozgur
  • Erhan Kiziltan
Brain and Behavior (2024) 14 (10)
Underlying interactive neural mechanism of motor learning governed by the cerebellum, the basal ganglia, and motor/sensory cortex: a review from theoretical perspective
  • Armin Hakkak Moghadam Torbati
  • Shahab Jami
  • Hamidreza Kobravi
  • Narges Davoudi
  • Mohammad Amin Gholibeigi
  • Asal Ashkzari
Neuroscience and Behavioral Physiology (2024) 54 (3): 347.
Timescales of learning in prefrontal cortex
  • Jacob A. Miller
  • Christos Constantinidis
Nature Reviews Neuroscience (2024) 25 (9): 597.
Exploring the dynamic interplay between learning and working memory within various cognitive contexts
  • Zakieh Hassanzadeh
  • Fariba Bahrami
  • Fariborz Dortaj
Frontiers in Behavioral Neuroscience (2024) 18
Persistent spiking activity in neuromorphic circuits incorporating post-inhibitory rebound excitation
  • Archita Hore
  • Sharba Bandyopadhyay
  • Saswat Chakrabarti
Journal of Neural Engineering (2024) 21 (3): 036048.
Working memory as a representational template for reinforcement learning
  • Kengo Shibata
  • Verena Klar
  • Sean J. Fallon
  • Masud Husain
  • Sanjay G. Manohar
Scientific Reports (2024) 14 (1)
The Role of the Cerebellum in Learning to Predict Reward: Evidence from Cerebellar Ataxia
  • Jonathan Nicholas
  • Christian Amlang
  • Chi-Ying R. Lin
  • Leila Montaser-Kouhsari
  • Natasha Desai
  • Ming-Kai Pan
  • Sheng-Han Kuo
  • Daphna Shohamy
The Cerebellum (2023) 23 (4): 1355.
Neural superstatistics for Bayesian estimation of dynamic cognitive models
  • Lukas Schumacher
  • Paul-Christian Bürkner
  • Andreas Voss
  • Ullrich Köthe
  • Stefan T. Radev
Scientific Reports (2023) 13 (1)
High vagally mediated resting-state heart rate variability is associated with superior working memory function
  • Jia Zeng
  • Jiao Meng
  • Chen Wang
  • Wenwu Leng
  • Xiaoke Zhong
  • Anmin Gong
  • Shumin Bo
  • Changhao Jiang
Frontiers in Neuroscience (2023) 17
Reward advantage over punishment for incentivizing visual working memory
  • Yurong Sun
  • Pyungwon Kang
  • Leyu Huang
  • Huimin Wang
  • Yixuan Ku
Psychophysiology (2023) 60 (9)
Impulse control disorder in Parkinson’s disease is associated with abnormal frontal value signalling
  • Jorryt G Tichelaar
  • Ceyda Sayalı
  • Rick C Helmich
  • Roshan Cools
Brain (2023) 146 (9): 3676.
Neural Index of Reinforcement Learning Predicts Improved Stimulus–Response Retention under High Working Memory Load
  • Rachel Rac-Lubashevsky
  • Anna Cremer
  • Anne G.E. Collins
  • Michael J. Frank
  • Lars Schwabe
The Journal of Neuroscience (2023) 43 (17): 3131.
Changes in Behavior and Neural Dynamics across Adolescent Development
  • Lucrezia Liuzzi
  • Daniel S. Pine
  • Nathan A. Fox
  • Bruno B. Averbeck
The Journal of Neuroscience (2023) 43 (50): 8723.
State-transition-free reinforcement learning in chimpanzees (Pan troglodytes)
  • Yutaro Sato
  • Yutaka Sakai
  • Satoshi Hirata
Learning & Behavior (2023) 51 (4): 413.
The neurocognitive role of working memory load when Pavlovian motivational control affects instrumental learning
  • Heesun Park
  • Hoyoung Doh
  • Eunhwi Lee
  • Harhim Park
  • Woo-Young Ahn
  • Alireza Soltani
PLOS Computational Biology (2023) 19 (12): e1011692.
Age-related differences in prefrontal glutamate are associated with increased working memory decay that gives the appearance of learning deficits
  • Milena Rmus
  • Mingjian He
  • Beth Baribault
  • Edward G Walsh
  • Elena K Festa
  • Anne GE Collins
  • Matthew R Nassar
eLife (2023) 12
Choice Type Impacts Human Reinforcement Learning
  • Milena Rmus
  • Amy Zou
  • Anne G. E. Collins
Journal of Cognitive Neuroscience (2023) 35 (2): 314.
Lowered inter-stimulus discriminability hurts incremental contributions to learning
  • Aspen H. Yoo
  • Haley Keglovits
  • Anne G. E. Collins
Cognitive, Affective, & Behavioral Neuroscience (2023) 23 (5): 1346.
Uncertainty alters the balance between incremental learning and episodic memory
  • Jonathan Nicholas
  • Nathaniel D Daw
  • Daphna Shohamy
eLife (2022) 11
Working memory capacity estimates moderate value learning for outcome-irrelevant features
  • Ido Ben-Artzi
  • Roy Luria
  • Nitzan Shahar
Scientific Reports (2022) 12 (1)

Advertisement

  • Online ISSN 1530-8898
  • Print ISSN 0898-929X
A product of The MIT Press
Newsletter sign up

MIT Press Direct

Information

MIT Press

Contact Us

© 2025 The MIT Press
This Feature Is Available To Subscribers Only

or Create an Account

Close Modal
Close Modal
This site uses cookies. By continuing to use our website, you are agreeing to our privacy policy. No content on this site may be used to train artificial intelligence systems without permission in writing from the MIT Press.
Accept