| Reasoning, learning, and creativity: frontal lobe function and human decision-making A Collins, E Koechlin PLoS biology 10 (3), e1001293, 2012 | 823 | 2012 |
| Ten simple rules for the computational modeling of behavioral data RC Wilson, AGE Collins Elife 8, e49547, 2019 | 516 | 2019 |
| How much of reinforcement learning is working memory, not reinforcement learning? A behavioral, computational, and neurogenetic analysis AGE Collins, MJ Frank European Journal of Neuroscience 35 (7), 1024-1035, 2012 | 472 | 2012 |
| Foundations of human reasoning in the prefrontal cortex M Donoso, AGE Collins, E Koechlin Science 344 (6191), 1481-1486, 2014 | 454 | 2014 |
| Cognitive control over learning: creating, clustering, and generalizing task-set structure. AGE Collins, MJ Frank Psychological review 120 (1), 190, 2013 | 407 | 2013 |
| Opponent actor learning (OpAL): modeling interactive effects of striatal dopamine on reinforcement learning and choice incentive. AGE Collins, MJ Frank Psychological review 121 (3), 337, 2014 | 379 | 2014 |
| Negative symptoms and the failure to represent the expected reward value of actions: behavioral and computational modeling evidence JM Gold, JA Waltz, TM Matveeva, Z Kasanova, GP Strauss, ES Herbener, ... Archives of general psychiatry 69 (2), 129-138, 2012 | 325 | 2012 |
| Working memory contributions to reinforcement learning impairments in schizophrenia AGE Collins, JK Brown, JM Gold, JA Waltz, MJ Frank Journal of Neuroscience 34 (41), 13747-13756, 2014 | 224 | 2014 |
| Interactions among working memory, reinforcement learning, and effort in value-based choice: A new paradigm and selective deficits in schizophrenia AGE Collins, MA Albrecht, JA Waltz, JM Gold, MJ Frank Biological psychiatry 82 (6), 431-439, 2017 | 131 | 2017 |
| Within-and across-trial dynamics of human EEG reveal cooperative interplay between reinforcement learning and working memory AGE Collins, MJ Frank Proceedings of the National Academy of Sciences 115 (10), 2502-2507, 2018 | 124 | 2018 |
| Probabilistic reinforcement learning in patients with schizophrenia: relationships to anhedonia and avolition EC Dowd, MJ Frank, A Collins, JM Gold, DM Barch Biological psychiatry: cognitive neuroscience and neuroimaging 1 (5), 460-473, 2016 | 124 | 2016 |
| Beyond dichotomies in reinforcement learning AGE Collins, J Cockburn Nature Reviews Neuroscience 21 (10), 576-586, 2020 | 118 | 2020 |
| A reinforcement learning mechanism responsible for the valuation of free choice J Cockburn, AGE Collins, MJ Frank Neuron 83 (3), 551-557, 2014 | 109 | 2014 |
| Working memory load strengthens reward prediction errors AGE Collins, B Ciullo, MJ Frank, D Badre Journal of Neuroscience 37 (16), 4332-4342, 2017 | 108 | 2017 |
| The tortoise and the hare: Interactions between reinforcement learning and working memory AGE Collins Journal of cognitive neuroscience 30 (10), 1422-1432, 2018 | 90 | 2018 |
| Human EEG uncovers latent generalizable rule structure during learning AGE Collins, JF Cavanagh, MJ Frank Journal of Neuroscience 34 (13), 4677-4685, 2014 | 88 | 2014 |
| Neural signature of hierarchically structured expectations predicts clustering and transfer of rule sets in reinforcement learning AGE Collins, MJ Frank Cognition 152, 160-169, 2016 | 82 | 2016 |
| Moving beyond ERP components: a selective review of approaches to integrate EEG and behavior DA Bridwell, JF Cavanagh, AGE Collins, MD Nunez, R Srinivasan, ... Frontiers in human neuroscience 12, 106, 2018 | 81 | 2018 |
| Role of prefrontal cortex in learning and generalizing hierarchical rules in 8-month-old infants DM Werchan, AGE Collins, MJ Frank, D Amso Journal of Neuroscience 36 (40), 10314-10322, 2016 | 78 | 2016 |
| Computational mechanisms of effort and reward decisions in patients with depression and their association with relapse after antidepressant discontinuation IM Berwian, JG Wenzel, AGE Collins, E Seifritz, KE Stephan, H Walter, ... JAMA psychiatry 77 (5), 513-522, 2020 | 76 | 2020 |
