Angela J. Yu
Affiliations: | Cognitive Science | University of California, San Diego, La Jolla, CA |
Area:
Computational neuroscienceWebsite:
http://cogsci.ucsd.edu/~ajyu/Google:
"Angela Yu"Mean distance: 13.15 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentor| Tomaso A. Poggio | research assistant | 1998-2000 | Brain and Cognitive Science, MIT |
| Peter Dayan | grad student | UCL | |
| Jonathan D. Cohen | post-doc | Princeton |
Children
Sign in to add trainee| Jake Olson | grad student | UCSD | |
| He Crane Huang | grad student | 2009- | UCSD |
| Jeremy B. Karnowski | grad student | 2010- | UCSD |
| Jacob M Olson | grad student | 2009-2012 | UCSD |
| Pradeep Shenoy | post-doc | UCSD |
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Publications
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| Paunov A, L'Hôtellier M, Guo D, et al. (2024) Multiple and subject-specific roles of uncertainty in reward-guided decision-making. Biorxiv : the Preprint Server For Biology |
| Zhou CY, Guo D, Yu AJ. (2020) Devaluation of Unchosen Options: A Bayesian Account of the Provenance and Maintenance of Overly Optimistic Expectations. Cogsci ... Annual Conference of the Cognitive Science Society. Cognitive Science Society (U.S.). Conference. 42: 1682-1688 |
| Harlé KM, Yu AJ, Paulus MP. (2019) Bayesian computational markers of relapse in methamphetamine dependence. Neuroimage. Clinical. 22: 101794 |
| Wang W, Hu S, Ide JS, et al. (2018) Motor Preparation Disrupts Proactive Control in the Stop Signal Task. Frontiers in Human Neuroscience. 12: 151 |
| Cogliati Dezza I, Yu AJ, Cleeremans A, et al. (2018) Publisher Correction: Learning the value of information and reward over time when solving exploration-exploitation problems. Scientific Reports. 8: 4312 |
| Dezza IC, Yu AJ, Cleeremans A, et al. (2017) Learning the value of information and reward over time when solving exploration-exploitation problems. Scientific Reports. 7: 16919 |
| Harlé KM, Guo D, Zhang S, et al. (2017) Anhedonia and anxiety underlying depressive symptomatology have distinct effects on reward-based decision-making. Plos One. 12: e0186473 |
| Harle K, Yu A, Paulus M. (2017) 889. Bayesian Neural Adjustment of “the Need to Stop” Predicts Relapse in Methamphetamine-Dependent Individuals Biological Psychiatry. 81: S359 |
| Harlé KM, Zhang S, Ma N, et al. (2016) Reduced Neural Recruitment for Bayesian Adjustment of Inhibitory Control in Methamphetamine Dependence. Biological Psychiatry. Cognitive Neuroscience and Neuroimaging. 1: 448-459 |
| Ma N, Yu AJ. (2016) Inseparability of Go and Stop in Inhibitory Control: Go Stimulus Discriminability Affects Stopping Behavior. Frontiers in Neuroscience. 10: 54 |