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Reka Daniel
Reka Daniel
Verified email at princeton.edu
Title
Cited by
Cited by
Year
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
4062015
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
3302017
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
1942014
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
1132010
Striatal activations signal prediction errors on confidence in the absence of external feedback
R Daniel, S Pollmann
Neuroimage 59 (4), 3457-3467, 2012
922012
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
372011
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
362016
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
152020
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
72015
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
62023
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
62018
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
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Articles 1–17