Publications

Forthcoming

Zhang, S & Yu, A J
A Bayesian hierarchical model of local-global processing: visual crowding and perceptual grouping
(under review)

2016

Harlé, K M, Zhang, S, Ma, N, Yu*, A J, & Paulus*, M P. *Co-senior authors
Reduced neural recruitment for Bayesian adjustment of inhibitory control in methamphetamine dependence
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 1: 448-459. (PDF)

Li, L, Malave, V, Song, A, & Yu, A J (2016).
Extracting human face similarity judgments: Pairs or Triplets?
Proceedings of the Cognitive Science Society Conference
(PDF)

Ma, N & Yu, A J (2016).
Stop paying attention: the need for explicit stopping in inhibitory control
Proceedings of the Cognitive Science Society Conference.
(PDF)

Ma, N & Yu, A J (2016).
Inseparability of Go and Stop in Inhibitory Control: Go Stimulus Discriminability Affects Stopping Behavior
Frontiers in Neuroscience, 10 (54). doi: 10.3389/fnins.2016.00054
(PDF)

2015

Harlé, K M, Zhang, S, Schiff, M, Mackey, S, Paulus*, M P, & Yu*, A J. *co-senior authors
Altered statistical learning and decision-making in methamphetamine dependence: Evidence from a two-armed bandit task
Frontiers in Psychology, 6:1910. doi:10.3389/fpsyg.2015.01910.
(PDF)

Harlé, K M, Steward, J L, Zhang, S, Tapert, S, Yu*, A J, & Paulus*, M P (2015). *co-senior authors
Bayesian neural adjustment of inhibitory control predicts emergence of problem stimulant use
Brain, 138:3413-26. doi: 10.1093/brain/awv246
(PDF)

Ma, N, Yu, A J (2015).
Statistical learning and adaptive decision-making underlie human response time variability in inhibitory control
Frontiers in Psychology, 6 (1046). doi: 0.3389/fpsyg.2015.01046
(PDF)

Ide, J S, Hu, S, Zhang, S, Yu, A J & Li, C-S R (2015).
Impaired Bayesian learning for cognitive control in cocaine dependence.
Drug and Alcohol Dependence, 151: 220-227, doi: 10.1016/j.drugalcdep.2015.03.021.
(PDF)

Ahmad, S & Yu, A J (2015).
A rational model for individual differences in preference choice.
Proceedings of the Cognitive Science Society Conference.
(preliminary PDF)

Ma, N & Yu, A J (2015).
Variability in response time reveals statistical learning and adaptive decision-making.
Proceedings of the Cognitive Science Society Conference.
(preliminary PDF)

Zhang, S, Song, M & Yu, A J (2015).
Bayesian hierarchical model of local-global processing: Visual crowding as a case-study.
Proceedings of the Cognitive Science Society Conference.
(preliminary PDF)

2014

Ahmad, S, Huang, H, & Yu, A J (2014).
Cost-sensitive Bayesian control policy in human active sensing.
Frontiers in Neuroscience, doi: 19.3389/fnhum.2014.00955.
(PDF)

Yu, A J & Huang, H (2014).
Maximizing masquerading as matching: Statistical learning and decision-making in choice behavior.
Decision, 1 (4): 275-287.
(PDF)

Zhang, S, Huang, C H & Yu, A J (2014).
Sequential effects: A Bayesian analysis of prior bias on reaction time and behavioral choice.
Proceedings of the Cognitive Science Society Conference.
(PDF)

Ahmad, S & Yu, A J (2014).
A socially aware Bayesian model for competitive foraging.
Proceedings of the Cognitive Science Society Conference.
(PDF)

Yu, A J (2014).
Decision Making Tasks.
Encyclopedia of Computational Neuroscience. Springer.
(preliminary PDF)

Yu, A J (2014).
Computational Models of Neuromodulation
Encyclopedia of Computational Neuroscience. Springer.
(preliminary PDF)

Harlé, K M, Shenoy, P, Steward, J L, Tapert, S, Yu*, A J, & Paulus*, M P (2014). *co-senior authors
Altered neural processing of the need to stop in young adults at risk for stimulant dependence.
Journal of Neuroscience, 34: 4567-4580.
(PDF)

2013

Ahmad, S, Huang, H, & Yu, A J (2013).
Context-sensitivity in human active sensing.
Advances in Neural Information Processing Systems 26. MIT Press, Cambridge, MA.
(PDF)

Zhang, S & Yu, A J (2013).
Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting.
Advances in Neural Information Processing Systems 26. MIT Press, Cambridge, MA.
(PDF)

Shenoy, P & Yu, A J (2013).
A rational account of contextual effects in preference choice: What makes for a bargain?
Proceedings of the Cognitive Science Society Conference.
(PDF)

Zhang, S & Yu, A J (2013).
Cheap but clever: Human active learning in a bandit setting.
Proceedings of the Cognitive Science Society Conference.
(PDF)

Yu, A J (2013).
Bayesian Models of Attention.
Chapter in Handbook of Attention.
Ed. S. Kastner & K. Nobre.
Oxford University Press.
(PDF)

Dayanik, S & Yu, A J (2013).
Reward-Rate Maximization in Sequential Identification under a Stochastic Deadline.
SIAM Journal on Control and Optimization, 51 (4): 2922-2948.
(PDF)

Ahmad, S & Yu, A J (2013).
Active sensing as Bayes-optimal sequential decision-making.
Proceedings of the Twenty-ninth Annual Conference on Uncertainty in Artificial Intelligence (UAI), 12-21.
(PDF)

Ide, J S, Shenoy, P, Yu, A J*, & Li, C-S R* (2013).
Bayesian prediction and evaluation in the anterior cingulate cortex.
Journal of Neuroscience, 33: 2039-2047.
*Yu & Li contributed equally as senior authors.
(PDF)

2012

Shenoy, P & Yu, A J (2012).
Rational impatience in perceptual decision-making: a Bayesian account of discrepancy between two-alternative forced choice and Go/NoGo Behavior.
Advances in Neural Information Processing Systems 25.
MIT Press, Cambridge, MA.
(PDF)

Paulus, M P & Yu, A J (2012).
Emotion and decision-making: affect-driven belief systems in anxiety and depression.
Trends in Cognitive Sciences 16: 476-483.
(PDF)

Yu, A J (2012).
Change is in the eye of the beholder.
Nature Neuroscience 15, 933-935.
(PDF).

2011

Yu, A J (2011).
Uncertainty and neuromodulation: Focus on Acetylcholine and sustained attention.
Chapter in Neuroscience of Decision Making, pp. 97-124.
Ed. O. Vartanian and D R. Mandel. Psychology Press.
(PDF)

Shenoy, P & Yu, A J (2011).
Wherefore a horse race: Inhibitory control as rational decision-making.
Chapter in Neural Basis of Motivational and Cognitive Control, pp. 371-388.
Ed. R. Mars, J. Sallet, M. Rushworth, and N. Yeung. MIT Press.
(PDF)

Shenoy, P & Yu, A J (2011).
Rational decision-making in inhibitory control.
Frontiers in Human Neuroscience, 5:48. doi: 10.3389/fnhum.2011.00048.
(PDF)

2007-2010

Shenoy, P, Rao, R, & Yu, A J (2010).
A rational decision making framework for inhibitory control.
Advances in Neural Information Processing Systems, 23: 2146-54.
MIT Press, Cambridge, MA.
(PDF)

Yu, A J & Cohen, J D (2009).
Sequential effects: Superstition or rational behavior?
Advances in Neural Information Processing Systems, 21: 1873-1880.
MIT Press, Cambridge, MA.
(Corrected PDF)

Liu, S, Yu, A J, & Holmes, P (2009).
Dynamical analysis of Bayesian inference models for the Eriksen task.
Neural Computation, 21: 1520-1553.
(PDF)

Yu, A J, Dayan, P, & Cohen J D (2009).
Dynamics of attentional selection under conflict: Toward a rational Bayesian account.
Journal of Experimental Psychology: Human Perception and Performance, 35: 700-717.
(PDF)

Frazier, P, Yu, A J (2008).
Sequential hypothesis testing under stochastic deadlines.
Advances in Neural Information Processing Systems, 20: 465-72.
MIT Press, Cambridge, MA.
(PDF)

Yu, A J (2007).
Adaptive behavior: Humans act as Bayesian learners.
Current Biology, 17: R977-R980.
(PDF)

Cohen, J D, McClure, S M, and Yu, A J (2007).
Should I stay or should I go? How the human brain manages the tradeoff between exploitation and exploration.
Philosophical Transactions of the Royal Society B: Biological Sciences, 362: 933-942.
(PDF)

Yu, A J (2007).
Optimal change-detection and spiking neurons.
Advances in Neural Information Processing Systems 19: 1545-52.
MIT Press, Cambridge, MA.
(PDF)

Before 2006

Dayan, P & Yu, A J (2006).
Phasic norepinephrine: A neural interrupt signal for unexpected events.
Network: Computation in Neural Systems, 17: 335-50.
(PDF).

Dayan, P & Yu, A J (2006).
Norepinephrine and neural interrupts.
Advances in Neural Information Processing Systems 18: 243-50.
MIT Press, Cambridge, MA.
(PDF)

Yu, A J (2005).
Acetylcholine and Norepinephrine: Bayes, Uncertainty, Attention, and Learning.
PhD thesis, Gatsby Computational Neuroscience Unit, University College London, University of London.
(PDF)

Yu, A J & Dayan, P (2005).
Uncertainty, neuromodulation, and attention.
Neuron, 46: 681-692.
(PDF).
Reviews in Faculty 1000, Neuron, Nature, and Science.

Yu, A J & Dayan, P (2005).
Inference, attention, and decision in a Bayesian neural architecture.
In Advances in Neural Information Processing Systems 17: 1577-84.
MIT Press, Cambridge, MA.
(PDF)

Yu, A J & Dayan, P (2003).
Expected and unexpected uncertainty: ACh and NE in the neocortex.
In Advances in Neural Information Processing Systems 15. MIT Press, Cambridge, MA.
(PDF)

Dayan, P & Yu, A J (2003).
Uncertainty and learning.
IETE Journal of Research, 49: 171-181.
( PDF)

Yu, A J & Dayan, P (2002).
Acetylcholine in cortical inference.
Neural Networks, 15(4/5/6): 719-730.
(PDF)

Dayan, P & Yu, A J (2002).
Acetylcholine, uncertainty, and cortical inference.
In T G Dietterich, S Becker, and Z Ghahramani (eds.) Advances in Neural Information Processing Systems 14.
MIT Press, Cambridge, MA.
(PDF)

Yu, A J, Giese, M A, & Poggio, T (2002).
Biophysiologically Plausible Implementations of Maximum Operation.
Neural Computation, 14(12): 2857-2881.
(PDF)


Last modified: Fri Aug 11 10:24:03 PDT 2017

Forthcoming

Cordova, C, Yu, A J, Failor, S, Dayan, P, & Chiba, A A.
Attention, uncertainty, and acetylcholine: Effects of nucleus basalis cholinergic lesions on probabilistic inference.