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Daniel B. Ehrlich
Daniel B. Ehrlich
Postdoctoral Researcher, University of California, Berkeley
Verified email at berkeley.edu
Title
Cited by
Cited by
Year
Distributed neural representation of saliency controlled value and category during anticipation of rewards and punishments
Z Zhang, J Fanning, DB Ehrlich, W Chen, D Lee, I Levy
Nature communications 8 (1), 1907, 2017
702017
Posttraumatic stress symptoms and aversion to ambiguous losses in combat veterans
L Ruderman, DB Ehrlich, A Roy, RH Pietrzak, I Harpaz‐Rotem, I Levy
Depression and anxiety 33 (7), 606-613, 2016
332016
Geometry of neural computation unifies working memory and planning
DB Ehrlich, JD Murray
Proceedings of the National Academy of Sciences 119 (37), e2115610119, 2022
272022
Psychrnn: An accessible and flexible python package for training recurrent neural network models on cognitive tasks
DB Ehrlich, JT Stone, D Brandfonbrener, A Atanasov, JD Murray
eneuro 8 (1), 2021
242021
Confluence of timing and reward biases in perceptual decision-making dynamics
M Shinn, DB Ehrlich, D Lee, JD Murray, H Seo
Journal of Neuroscience 40 (38), 7326-7342, 2020
172020
Anatomical Diversity of the Adult Corticospinal Tract Revealed by Single-Cell Transcriptional Profiling
N Golan, D Ehrlich, J Bonanno, RF O'Brien, M Murillo, SD Kauer, ...
Journal of Neuroscience 43 (47), 7929-7945, 2023
7*2023
Neural valuation of rewards and punishments in posttraumatic stress disorder: a computational approach
R Jia, L Ruderman, RH Pietrzak, C Gordon, D Ehrlich, M Horvath, ...
Translational Psychiatry 13 (1), 101, 2023
6*2023
Neuroeconomics
I Levy
Emerging Trends in the Social and Behavioral Sciences: An Interdisciplinary …, 2015
32015
Computational Principles of Multiple-Task Learning in Humans and Artificial Neural Networks
DB Ehrlich
Yale University, 2021
2021
Unifying Neural Delay Representations in Cognitive Tasks: A Joint Human Behavioral and Recurrent Neural Network Study
D Ehrlich, JD Murray
Conference on Cognitive Computational Neuroscience, 2019
2019
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Articles 1–10