| 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 | 447 | 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 | 360 | 2017 |
| A universal role of the ventral striatum in reward-based learning: evidence from human studies R Daniel, S Pollmann Neurobiology of learning and memory 114, 90-100, 2014 | 220 | 2014 |
| Comparing the neural basis of monetary reward and cognitive feedback during information-integration category learning R Daniel, S Pollmann Journal of Neuroscience 30 (1), 47-55, 2010 | 119 | 2010 |
| Striatal activations signal prediction errors on confidence in the absence of external feedback R Daniel, S Pollmann Neuroimage 59 (4), 3457-3467, 2012 | 103 | 2012 |
| The effects of aging on the interaction between reinforcement learning and attention. A Radulescu, R Daniel, Y Niv Psychology and aging 31 (7), 747, 2016 | 40 | 2016 |
| Assessing the neural basis of uncertainty in perceptual category learning through varying levels of distortion R Daniel, G Wagner, K Koch, JR Reichenbach, H Sauer, RGM Schlösser Journal of Cognitive Neuroscience 23 (7), 1781-1793, 2011 | 38 | 2011 |
| 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 | 19 | 2020 |
| Unsupervised machine learning for identification of audience subpopulations and dimensionality and/or sparseness reduction techniques to facilitate identification of audience … MH Williams, R Daniel-weiner, AG White, C Reisz US Patent 11,727,313, 2023 | 8 | 2023 |
| How to divide and conquer the world, one step at a time R Daniel, NW Schuck, Y Niv Proceedings of the National Academy of Sciences 112 (10), 2929-2930, 2015 | 7 | 2015 |
| Audience size forecasting: Fast and smart budget planning for media buyers Y Shi, C Perlich, R Hook, W Martin, MH Williams, J Moynihan, P McCarthy, ... Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 5 | 2018 |
| Machine learning for nutrient quantity estimation in score-based diets and methods of use thereof G Foster, U Gerwig, L Smith, R Daniel-weiner, M Skarlinski, J Bünker, ... US Patent App. 18/495,902, 2024 | | 2024 |
| Machine learning for nutrient quantity estimation in score-based diets and methods of use thereof G Foster, U Gerwig, L Smith, R Daniel-weiner, M Skarlinski, J Bünker, ... US Patent 11,803,781, 2023 | | 2023 |
| Enabling Informed Decision Making in the Absence of Detailed Nutrition Labels: A Model to Estimate the Added Sugar Content of Foods R Daniel-Weiner, MI Cardel, M Skarlinski, A Goscilo, C Anderson, ... Nutrients 15 (4), 803, 2023 | | 2023 |
| ENABLING INFORMED DECISION MAKING IN THE ABSENCE OF DETAILED NUTRITION LABELS: A MODEL TO ESTIMATE FOODS'ADDED SUGAR CONTENT IN A DIABETES-TAILORED WEIGHT MANAGEMENT PROGRAM A Kaufman, R Daniel-Weiner, MI Cardel, M Skarlinski, A Goscilo, ... DIABETES TECHNOLOGY & THERAPEUTICS 24, A76-A76, 2022 | | 2022 |
| Age-related Differences in Learning to Selectively Attend A Radulescu, R Daniel, Y Niv | | |
| Feedback Dependence of Dopaminergic Involvement in an Information-Integration Task R Daniel, S Pollmann | | |
Yael NivProfessor of Psychology and Neuroscience, Princeton UniversityDirección de correo verificada de princeton.edu