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Publications

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Preprints

Balancing exploration and exploitation with information and randomization
Wilson, Bonawitz, Costa, and Ebitz (submitted)
PsyArXiv
Deep exploration as a unifying account of explore-exploit behavior
Wilson, Wang, Sadhegiyeh, & Cohen (submitted)
PsyArXiv
A drift diffusion model of explore-exploit decisions reveals a signal-to-noise mechanism for random exploration.
Wilson, Wang, Zarnescu, and Feng (submitted)
PsyArXiv
Is this phishing? Older age is associated with greater difficulty discriminating between safe and fraudulent emails
Grilli, McVeigh, Hakim, Wank, Getz, Levin, Ebner, & Wilson (submitted)
PsyArXiv
Evaluating the cognitive mechanisms of phishing detection with PEST, an ecologically valid lab-based measure of phishing susceptibility
Hakim, Ebner, Oliveira, Getz, Levin, Lin, Lloyd, Lai, Grilli & Wilson (submitted)
PsyArXiv
Human inference in changing environments
Prat-Carrabin, Wilson, Cohen, da Silveira (submitted)
bioRxiv
Any way the brain blows? The nature of decision noise in random exploration
Wang & Wilson (submitted)
PsyArXiv
Lessons from a "failed" replication: The importance of taking action in exploration
Sadhegiyeh, Wang & Wilson (submitted)
PsyArXiv
Sequential choice effects predict prevalence-induced concept change
Wilson (submitted)
PsyArXiv
Spontaneous Blink Rate Correlates With Financial Risk Taking
Sherman & Wilson (submitted)
bioRxiv

Journal Papers

Differential effects of psychotic illness on directed and random exploration
Waltz, Wilson, Albrecht, Frank, & Gold (2020)
Computational Psychiatry, 1-22
On the psychology of the psychology subject pool: an exploratory test of the good student effect
Sadhegiyeh, Wang, & Wilson (2020)
Journal of Individual Differences
Path integration in large-scale space and with novel geometries: Comparing Vector Addition and Encoding-Error Models
Harootonian, Wilson, Hejtmanek, Ziskin & Ekstrom (2020)
PLoS Computational Biology
Temporal discounting correlates with directed exploration but not with random exploration
Sadhegiyeh, Wang, Alberhasky, Kyllo, Shenhav, & Wilson (2020)
Scientific Reports 10(1), 1-10
A divisive model of evidence accumulation explains uneven weighting of evidence over time
Keung, Hagen & Wilson (2020)
Nature Communications
Ten simple rules for the computational modeling of behavioral data
Wilson & Collins (2019)
eLife 8, e49547
[code]
Rats exhibit similar biases in foraging and intertemporal choice tasks
Kane, Bornstein, Shenhav, Wilson, Daw, & Cohen (2019)
eLife 8, e48429
The Eighty Five Percent Rule for Optimal Learning
Wilson, Shenhav, Straccia & Cohen (2019)
Nature Communications 10, 4646
[code]
Regulation of evidence accumulation by pupil-linked arousal processes
Keung, Hagen & Wilson (2019)
Nature Human Behavior 3, 636-645
A state representation for reinforcement learning and decision-making in the orbitofrontal cortex
Schuck, Wilson & Niv (2018)
Goal-Directed Decision Making, 259-278
Prediction in infants and adults: A pupillometry study
Zhang, Jaffe-Dax, Wilson, & Emberson (2018)
Developmental Science, e12780
A causal role for right frontopolar cortex in directed, but not random, exploration
Zajkowski, Kossut & Wilson (2017)
eLife 6, e27430
[data]
Increased locus coeruleus tonic activity causes disengagement from a patch foraging task
Kane, Vazey, Wilson, Shenhav, Daw, Aston-Jones & Cohen (2017)
Cognitive, Affective, and Behavioral Neuroscience, 1-11
The effect of atomoxetine on random and directed exploration in humans
Warren, Wilson, van der Wee, Giltay, van Noorden, Nystrom, Cohen & Nieuwenhuis, (2017)
PLoS One 12(4), e0176034
[pdf]
Strategies for exploration in the domain of losses
Krueger, Wilson & Cohen (2017)
Judgment and Decision Making 12(2), 104
[pdf]
Charting the expansion of strategic exploratory behavior during adolescence
Somerville, Sasse, Garrad, Drysdale, Abi Akar, Insel & Wilson (2017)
Journal of Experimental Psychology: General 146(2), 155-164
[pdf]
Human Orbitofrontal Cortex Represents a Cognitive Map of State Space
Schuck, Cai, Wilson & Niv (2016)
Neuron 91(6), 1402-1412
Catecholamine-Mediated Increases in Gain Enhance the Precision of Cortical Representations
Warren, Eldar, van den Brink, Tona, van der Wee, Giltay, van Noorden, Wilson, Nystrom, Cohen, and Nieuwenhuis, (2016)
Journal of Neuroscience 36(21), 5699-5708
[pdf]
Bayesian Modeling of the Dynamics of Phase Modulations and their Application to Auditory Event Related Potentials at Different Loudness Scales
Mortezapouraghdam, Wilson, Schwabe & Strauss (2016)
Frontiers in computational neuroscience 10
Reinforcement learning in multidimensional environments relies on attention mechanisms
Niv, Daniel, Geana, Gershman, Leong, Radulescu & Wilson (2016)
Journal of Neuroscience 35(21), 8145-8157
Is Model Fitting Necessary for Model-Based fMRI?
Wilson & Niv (2015)
PLoS Computational Biology 11(6), e1004237
[pdf]
Humans use directed and random exploration to solve the explore-exploit dilemma
Wilson, Geana, White, Ludvig, & Cohen (2014)
Journal of Experimental Psychology: General 143(6), 2074-2081
[pdf] [supplement] [data]
Orbitofrontal cortex as a cognitive map of task space
Wilson, Takahashi, Schoenbaum & Niv (2014)
Neuron 81(2), 267-279
A Delta-rule approximation to Bayesian inference in change-point problems
Wilson, Nassar & Gold (2013)
PLoS Computational Biology 9(7), e1003150
[pdf] [supplement] [code]
Rational regulation of learning dynamics by pupil-linked arousal systems
Nassar, Rumsey, Wilson, Parikh, Heasly & Gold (2012)
Nature Neuroscience 15, 1040-1046
Inferring relevance in a changing world
Wilson & Niv (2011)
Frontiers in Human Neuroscience 5(189)
[pdf]
Expectancy-related firing of midbrain dopamine neurons depends on orbitofrontal cortex
Takahashi, Roesch, Wilson, Toreson, O'Donnell, Niv & Schoenbaum (2011)
Nature Neuroscience 14, 1590-1597
Bayesian online learning of the hazard rate in change-point problems
Wilson, Nassar & Gold (2010)
Neural Computation 22(9), 2452-2476
[pdf]
An approximately Bayesian Delta-rule model explains the dynamics of belief updating in a changing environment
Nassar, Wilson, Heasly & Gold (2010)
Journal of Neuroscience 30(37), 12366-12378
Parallel Hopfield networks
Wilson (2009)
Neural Computation 21(3), 831-850
[pdf]
Sensitivity to motion features in point light displays of biological motion
Das, Lazarewicz, Wilson & Finkel (2009)
Spatial Vision 22(2), 105-125
Two-stage PCA extracts spatiotemporal features for gait recognition
Das, Wilson, Lazarewicz & Finkel (2006)
Journal of Multimedia 1(5), 9-17
Relationships between internal field gradients, diffusion & relaxation in porous media
Wilson & Hurlimann (2006)
Journal of Magnetic Resonance 183(1), 1-12
[pdf]

Conference Papers

A causal role for right frontopolar cortex in directed, but not random, exploration
Zajkowski, Kossut & Wilson (2017)
Proceedings of the 15th Annual Meeting of the International Conference on Cognitive Modeling
[pdf] [data]
Wide-eyed and wrong? Pupil dilation and imperfect evidence accumulation in auditory perceptual decisions
Hagen & Wilson (2017)
Reinforcement Learning & Decision Making
[pdf]
Mechanisms of Overharvesting in Patch Foraging
Kane, Bornstein, Shenhav, Wilson, Daw, Aston-Jones & Cohen (2017)
Reinforcement Learning & Decision Making
Engagement matters: pupil and mental effort mediate depletion effect on subsequent physical tasks
Kromenacker & Wilson (2017)
Reinforcement Learning & Decision Making
[pdf]
Spontaneous Blink Rate Correlates With Financial Risk Taking
Sherman, Andrade, Sikora, Long & Wilson (2017)
Reinforcement Learning & Decision Making
[pdf]
What is the nature of decision noise in random exploration?
Wang & Wilson (2017)
Reinforcement Learning & Decision Making
[pdf]
Regulation of evidence accumulation by pupil-linked noradrenergic system in humans
Keung & Wilson (2017)
Reinforcement Learning & Decision Making
A causal role for right frontopolar cortex in directed, but not random, exploration
Zajkowski, Kossut & Wilson (2017)
Reinforcement Learning & Decision Making
[pdf]
Boredom, information-seeking and exploration
Geana, Wilson, Daw & Cohen (2016)
Proceedings of the 38th Annual Conference of the Cognitive Science Society 1, 1751-1756
Information-Seeking, Learning and the Marginal Value Theorem: A Normative Approach to Adaptive Exploration
Geana, Wilson, Daw & Cohen (2016)
Proceedings of the 38th Annual Conference of the Cognitive Science Society 1, 1793-1798
Humans tradeoff information seeking and randomness in explore-exploit decisions
Wilson & Cohen (2015)
Reinforcement Learning & Decision Making
[pdf] [poster]
Directed and random exploration in the domain of losses
Krueger*, Wilson* & Cohen (2015)
Reinforcement Learning & Decision Making
[pdf] [poster]
Bayesian model of proactive and reactive control in the AX-CPT
Lositsky, Wilson, Shvartsman & Cohen (2015)
Reinforcement Learning & Decision Making
[pdf]
The grass really is greener on the other side: directed and random exploration in a task without numbers
Krueger* Oliver*, Cohen & Wilson (2015)
Reinforcement Learning & Decision Making
[pdf] [poster]
Exploration strategies in human decision making
Wilson, Geana, White, Ludvig & Cohen (2013)
Reinforcement Learning & Decision Making
[pdf] [poster]
Is model fitting necessary for model-based fMRI?
Wilson & Niv (2013)
Reinforcement Learning & Decision Making
[pdf] [poster]
Reward, Risk & Ambiguity in Human Exploration: A Wheel of Fortune Task
Geana, Wilson & Cohen (2013)
Reinforcement Learning & Decision Making
[pdf] [poster]
Towards optimization of a human-inspired heuristic for solving explore-exploit problems
Reverdy, Wilson, Holmes & Leonard E. (2012)
51st IEEE Conference on Decision & Control, (pp. 2820-2825)
The neural costs of optimal control
Gershman & Wilson (2010)
Advances in Neural Information Processing Systems 23, 712-720
[pdf]
A neural implementation of the Kalman filter
Wilson & Finkel (2009)
Advances in Neural Information Processing Systems 22, 2062-2070
[pdf] [supplement] [poster]
Two-stage principal component analysis for gait recognition
Das, Wilson, Lazarewicz & Finkel (2006)
7th IEEE International Conference on Automatic Face \& Gesture Recognition, (pp. 579-584)
[pdf]
Motion as shape: a novel method for recognition \& prediction of biological motion
Wilson, Das & Finkel (2006)
British Machine Vision Conference, 69.1-69.10