| Year |
Citation |
Score |
| 2020 |
Zhou CY, Guo D, Yu AJ. 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. PMID 34355220 |
0.323 |
|
| 2019 |
Harlé KM, Yu AJ, Paulus MP. Bayesian computational markers of relapse in methamphetamine dependence. Neuroimage. Clinical. 22: 101794. PMID 30928810 DOI: 10.1016/j.nicl.2019.101794 |
0.376 |
|
| 2018 |
Wang W, Hu S, Ide JS, Zhornitsky S, Zhang S, Yu AJ, Li CR. Motor Preparation Disrupts Proactive Control in the Stop Signal Task. Frontiers in Human Neuroscience. 12: 151. PMID 29780308 DOI: 10.3389/fnhum.2018.00151 |
0.313 |
|
| 2018 |
Cogliati Dezza I, Yu AJ, Cleeremans A, Alexander W. Publisher Correction: Learning the value of information and reward over time when solving exploration-exploitation problems. Scientific Reports. 8: 4312. PMID 29511318 DOI: 10.1038/s41598-018-22685-z |
0.309 |
|
| 2017 |
Dezza IC, Yu AJ, Cleeremans A, Alexander W. Learning the value of information and reward over time when solving exploration-exploitation problems. Scientific Reports. 7: 16919. PMID 29209058 DOI: 10.1038/s41598-017-17237-w |
0.425 |
|
| 2017 |
Harlé KM, Guo D, Zhang S, Paulus MP, Yu AJ. Anhedonia and anxiety underlying depressive symptomatology have distinct effects on reward-based decision-making. Plos One. 12: e0186473. PMID 29059254 DOI: 10.1371/Journal.Pone.0186473 |
0.432 |
|
| 2017 |
Harle K, Yu A, Paulus M. 889. Bayesian Neural Adjustment of “the Need to Stop” Predicts Relapse in Methamphetamine-Dependent Individuals Biological Psychiatry. 81: S359. DOI: 10.1016/j.biopsych.2017.02.614 |
0.335 |
|
| 2016 |
Harlé KM, Zhang S, Ma N, Yu AJ, Paulus MP. Reduced Neural Recruitment for Bayesian Adjustment of Inhibitory Control in Methamphetamine Dependence. Biological Psychiatry. Cognitive Neuroscience and Neuroimaging. 1: 448-459. PMID 28966988 DOI: 10.1016/J.Bpsc.2016.06.008 |
0.411 |
|
| 2016 |
Ma N, Yu AJ. Inseparability of Go and Stop in Inhibitory Control: Go Stimulus Discriminability Affects Stopping Behavior. Frontiers in Neuroscience. 10: 54. PMID 27047324 DOI: 10.3389/fnins.2016.00054 |
0.434 |
|
| 2015 |
Harlé KM, Zhang S, Schiff M, Mackey S, Paulus MP, Yu AJ. Altered Statistical Learning and Decision-Making in Methamphetamine Dependence: Evidence from a Two-Armed Bandit Task. Frontiers in Psychology. 6: 1910. PMID 26733906 DOI: 10.3389/Fpsyg.2015.01910 |
0.443 |
|
| 2015 |
Harlé KM, Stewart JL, Zhang S, Tapert SF, Yu AJ, Paulus MP. Bayesian neural adjustment of inhibitory control predicts emergence of problem stimulant use. Brain : a Journal of Neurology. PMID 26336910 DOI: 10.1093/Brain/Awv246 |
0.384 |
|
| 2015 |
Ma N, Yu AJ. Statistical learning and adaptive decision-making underlie human response time variability in inhibitory control. Frontiers in Psychology. 6: 1046. PMID 26321966 DOI: 10.3389/fpsyg.2015.01046 |
0.458 |
|
| 2015 |
Ide JS, Hu S, Zhang S, Yu AJ, Li CS. Impaired Bayesian learning for cognitive control in cocaine dependence. Drug and Alcohol Dependence. 151: 220-7. PMID 25869543 DOI: 10.1016/j.drugalcdep.2015.03.021 |
0.305 |
|
| 2014 |
Ahmad S, Huang H, Yu AJ. Cost-sensitive Bayesian control policy in human active sensing. Frontiers in Human Neuroscience. 8: 955. PMID 25520640 DOI: 10.3389/Fnhum.2014.00955 |
0.447 |
|
| 2014 |
Harlé KM, Shenoy P, Stewart JL, Tapert SF, Yu AJ, Paulus MP. Altered neural processing of the need to stop in young adults at risk for stimulant dependence. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 34: 4567-80. PMID 24672002 DOI: 10.1523/Jneurosci.2297-13.2014 |
0.563 |
|
| 2014 |
Harle K, Shenoy P, Tapert S, Yu A, Paulus M. Neural basis of modulating cognitive control in young adults at risk for stimulant dependence: Failure to expect when to stop Drug and Alcohol Dependence. 140: e79. DOI: 10.1016/J.Drugalcdep.2014.02.235 |
0.51 |
|
| 2013 |
Ide JS, Shenoy P, Yu AJ, Li CS. Bayesian prediction and evaluation in the anterior cingulate cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 33: 2039-47. PMID 23365241 DOI: 10.1523/Jneurosci.2201-12.2013 |
0.561 |
|
| 2013 |
Dayanik S, Yu AJ. Reward-rate maximization in sequential identification under a stochastic deadline Siam Journal On Control and Optimization. 51: 2922-2948. DOI: 10.1137/100818005 |
0.404 |
|
| 2012 |
Paulus MP, Yu AJ. Emotion and decision-making: affect-driven belief systems in anxiety and depression. Trends in Cognitive Sciences. 16: 476-83. PMID 22898207 DOI: 10.1016/j.tics.2012.07.009 |
0.364 |
|
| 2012 |
Shenoy P, Yu AJ. Strategic impatience in Go/NoGo versus forced-choice decision-making Advances in Neural Information Processing Systems. 3: 2123-2131. |
0.501 |
|
| 2011 |
Shenoy P, Yu AJ. Rational decision-making in inhibitory control. Frontiers in Human Neuroscience. 5: 48. PMID 21647306 DOI: 10.3389/Fnhum.2011.00048 |
0.634 |
|
| 2011 |
Huang C, Shenoy P, Yu AJ. Optimal decision-making in a visual search task F1000research. 2. DOI: 10.7490/F1000Research.1205.1 |
0.378 |
|
| 2011 |
Huang H, Yu A. Learning and Decision-Making in a Visual Search Task: Influence of Spatial Statistics on Action Planning and Sensory Processing Journal of Vision. 11: 480-480. DOI: 10.1167/11.11.480 |
0.477 |
|
| 2010 |
Shenoy P, Rao RPN, Yu AJ. A rational decision-making framework for inhibitory control Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010. |
0.529 |
|
| 2009 |
Yu AJ, Dayan P, Cohen JD. Dynamics of attentional selection under conflict: toward a rational Bayesian account. Journal of Experimental Psychology. Human Perception and Performance. 35: 700-17. PMID 19485686 DOI: 10.1037/a0013553 |
0.607 |
|
| 2009 |
Liu YS, Yu A, Holmes P. Dynamical analysis of Bayesian inference models for the Eriksen task. Neural Computation. 21: 1520-53. PMID 19191595 DOI: 10.1162/Neco.2009.03-07-495 |
0.387 |
|
| 2008 |
Yu AJ, Cohen JD. Sequential effects: Superstition or rational behavior? Advances in Neural Information Processing Systems. 21: 1873-1880. PMID 26412953 |
0.447 |
|
| 2007 |
Yu AJ. Adaptive behavior: humans act as Bayesian learners. Current Biology : Cb. 17: R977-80. PMID 18029257 DOI: 10.1016/j.cub.2007.09.007 |
0.316 |
|
| 2007 |
Cohen JD, McClure SM, Yu AJ. Should I stay or should I go? How the human brain manages the trade-off between exploitation and exploration. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 362: 933-42. PMID 17395573 DOI: 10.1098/rstb.2007.2098 |
0.635 |
|
| 2006 |
Dayan P, Yu AJ. Phasic norepinephrine: a neural interrupt signal for unexpected events. Network (Bristol, England). 17: 335-50. PMID 17162459 DOI: 10.1080/09548980601004024 |
0.561 |
|
| 2005 |
Yu AJ, Dayan P. Uncertainty, neuromodulation, and attention. Neuron. 46: 681-92. PMID 15944135 DOI: 10.1016/j.neuron.2005.04.026 |
0.561 |
|
| 2005 |
Yu AJ, Dayan P. Inference, attention, and decision in a bayesian neural architecture Advances in Neural Information Processing Systems. |
0.498 |
|
| 2005 |
Dayan P, Yu AJ. Norepinephrine and neural interrupts Advances in Neural Information Processing Systems. 243-250. |
0.405 |
|
| 2003 |
Dayan P, Yu AJ. Uncertainty and learning Iete Journal of Research. 49: 171-181. DOI: 10.1080/03772063.2003.11416335 |
0.476 |
|
| 2003 |
Yu A, Dayan P. Expected and unexpected uncertainty: ACh and NE in the neocortex Advances in Neural Information Processing Systems. |
0.4 |
|
| 2002 |
Yu AJ, Giese MA, Poggio TA. Biophysiologically plausible implementations of the maximum operation. Neural Computation. 14: 2857-81. PMID 12487795 DOI: 10.1162/089976602760805313 |
0.534 |
|
| 2002 |
Yu AJ, Dayan P. Acetylcholine in cortical inference. Neural Networks : the Official Journal of the International Neural Network Society. 15: 719-30. PMID 12371522 DOI: 10.1016/S0893-6080(02)00058-8 |
0.53 |
|
| 2002 |
Dayan P, Yu A. ACH, uncertainty, and cortical inference Advances in Neural Information Processing Systems. |
0.375 |
|
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