| Reinforcement learning in multidimensional environments relies on attention mechanisms Y Niv, R Daniel, A Geana, SJ Gershman, YC Leong, A Radulescu, ... Journal of Neuroscience 35 (21), 8145-8157, 2015 | 332 | 2015 |
| Dynamic interaction between reinforcement learning and attention in multidimensional environments YC Leong*, A Radulescu*, R Daniel, V DeWoskin, Y Niv Neuron 93 (2), 451-463, 2017 | 270 | 2017 |
| Holistic reinforcement learning: the role of structure and attention A Radulescu, Y Niv, I Ballard Trends in cognitive sciences 23 (4), 278-292, 2019 | 88 | 2019 |
| Statistical Computations Underlying the Dynamics of Memory Updating SJ Gershman, A Radulescu, KA Norman, Y Niv PLoS computational biology 10 (11), e1003939, 2014 | 79 | 2014 |
| Human representation learning A Radulescu, YS Shin, Y Niv Annual Review of Neuroscience 44, 253-273, 2021 | 26 | 2021 |
| The Effects of Aging on the Interaction Between Reinforcement Learning and Attention. A Radulescu, R Daniel, Y Niv Psychology and Aging, 2016 | 26 | 2016 |
| State representation in mental illness A Radulescu, Y Niv Current opinion in neurobiology 55, 160-166, 2019 | 15 | 2019 |
| Intact reinforcement learning but impaired attentional control during multidimensional probabilistic learning in older adults R Daniel, A Radulescu, Y Niv Journal of Neuroscience 40 (5), 1084-1096, 2020 | 10 | 2020 |
| DYT1 dystonia increases risk taking in humans D Arkadir, A Radulescu, D Raymond, N Lubarr, SB Bressman, P Mazzoni, ... eLife 5, e14155, 2016 | 10 | 2016 |
| Translating a Reinforcement Learning Task into a Computational Psychiatry Assay: Challenges and Strategies. P Hitchcock, Y Niv, A Radulescu, CR Sims CogSci, 2017 | 8 | 2017 |
| On the convergent validity of risk sensitivity measures A Radulescu, K Holmes, Y Niv PsyArXiv, 2020 | 6 | 2020 |
| A particle filtering account of selective attention during learning A Radulescu, Y Niv, ND Daw 2019 conference on cognitive computational neuroscience, 2019 | 6 | 2019 |
| A free-choice premium in the basal ganglia Y Niv, A Langdon, A Radulescu Trends in Cognitive Sciences 19 (1), 4-5, 2015 | 5 | 2015 |
| Modeling human eye movements during immersive visual search A Radulescu, B van Opheusden, F Callaway, TL Griffiths, JM Hillis bioRxiv, 2022.12. 01.518717, 2022 | 1 | 2022 |
| Affect-congruent attention drives changes in reward expectations D Bennett, A Radulescu, S Zorowitz, V Felso, Y Niv PsyArXiv, 2021 | 1 | 2021 |
| Computational mechanisms of selective attention during reinforcement learning A Radulescu Princeton University, 2020 | 1 | 2020 |
| Assessing the Potential of Computational Modeling in Clinical Science P Hitchcock, A Radulescu, Y Niv, C Sims Proceedings of the 3rd Multidisciplinary Conference on Reinforcement …, 2017 | 1 | 2017 |
| From Heuristic to Optimal Models in Naturalistic Visual Search A Radulescu, J Hillis, B van Opheusden, F Callaway, TL Griffiths | 1* | |
| Reward prediction errors modulate attentional vigilance JE Trach, MT deBettencourt, A Radulescu, SD McDougle PsyArXiv, 2022 | | 2022 |
| Name that state: How language affects human reinforcement learning A Radulescu, WK Vong, TM Gureckis Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44), 2022 | | 2022 |
Yael NivProfessor of Psychology and Neuroscience, Princeton UniversityVerified email at princeton.edu
