Publications

Recent articles

This list is not guaranteed to be up to date, but the lab's complete publications can be found here.

2025

  1. Inflationary flows: Calibrated bayesian inference with diffusion-based models
    Daniela de Albuquerque, and John Pearson (2025).
    Advances in Neural Information Processing Systems 37
  2. Representational Similarity and Pattern Classification of Fifteen Emotional States Induced by Movie Clips and Text Scenarios
    Yaohui Ding, Nathan M Muncy, John L Graner, Joel S White, Alisa C Schutz, Leonard Faul, John M Pearson, and Kevin S LaBar (2025).
    bioRxiv
  3. A software platform for real-time and adaptive neuroscience experiments
    Anne Draelos, Matthew D Loring, Maxim Nikitchenko, Chaichontat Sriworarat, Pranjal Gupta, Daniel Y Sprague, Eftychios Pnevmatikakis, Andrea Giovannucci, Tyler Benster, Karl Deisseroth, John M Pearson, and Eva A Naumann (2025).
    Nature Communications 16(1)
  4. Modeling of control over task switching and cross-task interference supports a two-dimensional model of cognitive stability and flexibility
    Raphael Geddert, Seth Madlon-Kay, Kevin O’Neill, John Pearson, and Tobias Egner (2025).
    Psychonomic Bulletin & Review
  5. Correctness is its own reward: bootstrapping error signals in self-guided reinforcement learning
    Ziyi Gong, Fabiola Duarte, Richard Mooney, and John Pearson (2025).
    bioRxiv
  6. Motor Cortical Output Integrates Distorted Proprioceptive Feedback
    Yi Li, X Hermione Xu, Shiyang Pan, Xu An, Patrick J Mulcahey, Zixuan Qiu, Shengli Zhao, Nuo Li, John Pearson, and Z Josh Huang (2025).
    bioRxiv
  7. Dual neuromodulatory dynamics underlie birdsong learning
    Jiaxuan Qi, Drew C Schreiner, Miles Martinez, John Pearson, and Richard Mooney (2025).
    Nature 641(8063)
  8. Frontal eye field neurons predict" anti-Bayesian" but not Bayesian judgments of visual stability across saccades
    Divya Subramanian, John M Pearson, and Marc A Sommer (2025).
    bioRxiv

2024

  1. Vocalization modulates the mouse auditory cortex even in the absence of hearing
    Thomas C Harmon, Seth Madlon-Kay, John Pearson, and Richard Mooney (2024).
    Cell Reports 43(8)
  2. Optimal decision-making under task uncertainty: a computational basis for cognitive stability versus flexibility
    Seth Madlon-Kay, John Pearson, and Tobias Egner (2024).
    Proceedings of the Annual Meeting of the Cognitive Science Society 46
  3. Modeling confidence in causal judgments.
    Kevin O'Neill, Paul Henne, John Pearson, and Felipe De Brigard (2024).
    Journal of Experimental Psychology: General 153(8)

2023

  1. Generative models of birdsong learning link circadian fluctuations in song variability to changes in performance
    Samuel Brudner, John Pearson, and Richard Mooney (2023).
    PLOS Computational Biology 19(5)
  2. Social cognitive processes explain bias in juror decisions
    Jaime J Castrellon, Shabnam Hakimi, Jacob M Parelman, Lun Yin, Jonathan R Law, Jesse AG Skene, David A Ball, Artemis Malekpour, Donald H Beskind, Neil Vidmar, John M Pearson, JH Pate Skene, and R McKell Carter (2023).
    Social Cognitive and Affective Neuroscience 18(1)
  3. Neuronal mechanisms of dynamic strategic competition
    Yaoguang Jiang, Kelsey R McDonald, John M Pearson, and Michael L Platt (2023).
    Research Square
  4. Sophisticated models, minimum descriptions, and the Goldilocks zone of behavior: Comment on" Beyond simple laboratory studies: Developing sophisticated models to study rich behavior" by Maselli et al
    John Pearson, and Achint Kumar (2023).
    Physics of life reviews 47
  5. Bayesian and Discriminative Models for Active Visual Perception across Saccades
    Divya Subramanian, John M Pearson, and Marc A Sommer (2023).
    eNeuro

2022

  1. Neural support for contributions of utility and narrative processing of evidence in juror decision making
    Jaime J Castrellon, Shabnam Hakimi, Jacob M Parelman, Lun Yin, Jonathan R Law, Jesse AG Skene, David A Ball, Artemis Malekpour, Donald H Beskind, Neil Vidmar, John M Pearson, R McKell Carter, and JH Pate Skene (2022).
    Journal of Neuroscience 42(40)
  2. Between heuristics and optimality: Flexible integration of cost and evidence during information sampling
    Abigail Hsiung, John M Pearson, Jia-Hou Poh, Shabnam Hakimi, R Alison Adcock, and Scott A Huettel (2022).
    bioRxiv
  3. Efficient coding, channel capacity, and the emergence of retinal mosaics
    Na Young Jun, Greg Field, and John Pearson (2022).
    Advances in neural information processing systems 35
  4. Confidence and gradation in causal judgment
    Kevin O'Neill, Paul Henne, Paul Bello, John Pearson, and Felipe De Brigard (2022).
    Cognition 223
  5. Measuring and modeling confidence in human causal judgment
    Kevin O’Neill, Paul Henne, John Pearson, and Felipe DeBrigard (2022).
    Proceedings of the Annual Meeting of the Cognitive Science Society

2021

  1. Neurons in primate prefrontal cortex signal valuable social information during natural viewing
    Geoffrey K Adams, Wei Song Ong, John M Pearson, Karli K Watson, and Michael L Platt (2021).
    Philosophical Transactions of the Royal Society B 376(1819)
  2. Attention-deficit/hyperactivity disorder and the explore/exploit trade-off
    Merideth A Addicott, John M Pearson, Julia C Schechter, Jeffrey J Sapyta, Margaret D Weiss, and Scott H Kollins (2021).
    Neuropsychopharmacology 46(3)
  3. Deep Generative Analysis for Task-Based Functional MRI Experiments
    Daniela de Albuquerque, Jack Goffinet, Rachael Wright, and John Pearson (2021).
    Machine Learning for Healthcare Conference
  4. Neural dynamics underlying birdsong practice and performance
    Jonnathan Singh Alvarado, Jack Goffinet, Valerie Michael, William Liberti III, Jordan Hatfield, Timothy Gardner, John Pearson, and Richard Mooney (2021).
    Nature 599(7886)
  5. Distributions. jl: Definition and modeling of probability distributions in the JuliaStats ecosystem
    Mathieu Besançon, Theodore Papamarkou, David Anthoff, Alex Arslan, Simon Byrne, Dahua Lin, and John Pearson (2021).
    Journal of Statistical Software 98
  6. Bubblewrap: Online tiling and real-time flow prediction on neural manifolds
    Anne Draelos, Pranjal Gupta, Na Young Jun, Chaichontat Sriworarat, and John Pearson (2021).
    Advances in Neural Information Processing Systems 34
  7. Low-dimensional learned feature spaces quantify individual and group differences in vocal repertoires
    Jack Goffinet, Samuel Brudner, Richard Mooney, and John Pearson (2021).
    eLife 10
  8. Scene statistics and noise determine the relative arrangement of receptive field mosaics
    Na Young Jun, Greg D Field, and John Pearson (2021).
    Proceedings of the National Academy of Sciences 118(39)
  9. Reproducible, incremental representation learning with Rosetta VAE
    Miles Martinez, and John Pearson (2021).

  10. Inter-mosaic coordination of retinal receptive fields
    Suva Roy, Na Young Jun, Emily L Davis, John Pearson, and Greg D Field (2021).
    Nature 592(7854)
  11. Encoding of odors by mammalian olfactory receptors
    Aashutosh Vihani, Maira H Nagai, Conan Juan, Claire A de March, Xiaoyang S Hu, John Pearson, and Hiroaki Matsunami (2021).
    bioRxiv
  12. Machine learning prediction of neurocognitive impairment among people with HIV using clinical and multimodal magnetic resonance imaging data
    Yunan Xu, Yizi Lin, Ryan P Bell, Sheri L Towe, John M Pearson, Tauseef Nadeem, Cliburn Chan, and Christina S Meade (2021).
    Journal of neurovirology 27(1)
  13. Continuous decisions
    Seng Bum Michael Yoo, Benjamin Yost Hayden, and John M Pearson (2021).
    Philosophical Transactions of the Royal Society B 376(1819)

2020

  1. Online Neural Connectivity Estimation with Noisy Group Testing
    Anne Draelos, and John M Pearson (2020).
    Advances in Neural Information Processing Systems 33
  2. Online neural connectivity estimation with ensemble stimulation
    Anne Draelos, Eva A Naumann, and John M Pearson (2020).
    arXiv preprint arXiv:2007.13911
  3. Dorsolateral and dorsomedial prefrontal cortex track distinct properties of dynamic social behavior
    Kelsey R McDonald, John M Pearson, and Scott A Huettel (2020).
    Social cognitive and affective neuroscience 15(4)
  4. Circuit and synaptic organization of forebrain-to-midbrain pathways that promote and suppress vocalization
    Valerie Michael, Jack Goffinet, John Pearson, Fan Wang, Katherine Tschida, and Richard Mooney (2020).
    eLife 9
  5. Monkeys and humans implement causal inference to simultaneously localize auditory and visual stimuli
    Jeff T Mohl, John M Pearson, and Jennifer M Groh (2020).
    Journal of Neurophysiology 124(3)

2019

  1. Latent goal models for dynamic strategic interaction
    Shariq N Iqbal, Lun Yin, Caroline B Drucker, Qian Kuang, Jean-François Gariépy, Michael L Platt, and John M Pearson (2019).
    PLoS computational biology 15(3)
  2. Bayesian nonparametric models characterize instantaneous strategies in a competitive dynamic game
    Kelsey R McDonald, William F Broderick, Scott A Huettel, and John M Pearson (2019).
    Nature communications 10(1)
  3. Cognitive bots and algorithmic humans: toward a shared understanding of social intelligence
    Kelsey R McDonald, and John M Pearson (2019).
    Current Opinion in Behavioral Sciences 29

2018

  1. Feedback-based learning in aging: Contributions and trajectories of change in striatal and hippocampal systems
    Nichole R Lighthall, John M Pearson, Scott A Huettel, and Roberto Cabeza (2018).
    Journal of Neuroscience 38(39)
  2. Mobile Gaze Mapping: A Python package for mapping mobile gaze data to a fixed target stimulus
    Jeff J MacInnes, Shariq Iqbal, John Pearson, and Elizabeth N Johnson (2018).
    Journal of Open Source Software 3(31)
  3. Wearable Eye-tracking for Research: Automated dynamic gaze mapping and accuracy/precision comparisons across devices
    Jeff J Macinnes, Shariq Iqbal, John Pearson, and Elizabeth N Johnson (2018).
    bioRxiv
  4. Modelling the effects of crime type and evidence on judgments about guilt
    John M Pearson, Jonathan R Law, Jesse AG Skene, Donald H Beskind, Neil Vidmar, David A Ball, Artemis Malekpour, R McKell Carter, and JH Pate Skene (2018).
    Nature human behaviour 2(11)
  5. Queuing cues in rapid cortical processing
    and John Pearson (2018).
    Nature human behaviour 2(9)

2017

  1. A primer on foraging and the explore/exploit trade-off for psychiatry research
    Merideth A Addicott, John M Pearson, Maggie M Sweitzer, David L Barack, and Michael L Platt (2017).
    Neuropsychopharmacology 42(10)
  2. Neuron’s eye view: Inferring features of complex stimuli from neural responses
    Xin Chen, Jeffrey M Beck, and John M Pearson (2017).
    PLoS computational biology 13(8)
  3. Decoding working memory content from attentional biases
    Emma Wu Dowd, John M Pearson, and Tobias Egner (2017).
    Psychonomic bulletin & review 24(4)
  4. A goal-based movement model for continuous multi-agent tasks
    Shariq Iqbal, and John Pearson (2017).
    arXiv preprint arXiv:1702.07319
  5. Local fields in human subthalamic nucleus track the lead-up to impulsive choices
    John M Pearson, Patrick T Hickey, Shivanand P Lad, Michael L Platt, and Dennis A Turner (2017).
    Frontiers in neuroscience 11
  6. 9-S: Presentation Style Affects Decision Processes: a Dietary Choice Study
    Mona Prakash, Jonathan Winkle, Nicolette Sullivan, Gavan Fitzsimons, John Pearson, and Scott Huettel (2017).
    ACR North American Advances

2016

  1. Altruistic traits are predicted by neural responses to monetary outcomes for self vs charity
    René San Martín, Youngbin Kwak, John M Pearson, Marty G Woldorff, and Scott A Huettel (2016).
    Social cognitive and affective neuroscience 11(6)
  2. Dopamine: Context and counterfactuals
    Michael L Platt, and John M Pearson (2016).
    Proceedings of the National Academy of Sciences 113(1)

2015

  1. Suboptimal foraging behavior: A new perspective on gambling.
    Merideth A Addicott, John M Pearson, Nicole Kaiser, Michael L Platt, and F Joseph McClernon (2015).
    Behavioral neuroscience 129(5)
  2. Neural mechanisms of social decision-making in the primate amygdala
    Steve WC Chang, Nicholas A Fagan, Koji Toda, Amanda V Utevsky, John M Pearson, and Michael L Platt (2015).
    Proceedings of the National Academy of Sciences 112(52)
  3. Mind-reading without the scanner: Behavioural decoding of working memory content
    Emma Wu Dowd, John M Pearson, and Tobias Egner (2015).
    Visual Cognition 23(7)
  4. THE IMPACT OF FEEDBACK TIMING ON VALUE LEARNING IN AGING
    N Lighthall, JM Pearson, S Huettel, and R Cabeza (2015).
    GERONTOLOGIST 55

2014

  1. Smoking automaticity and tolerance moderate brain activation during explore–exploit behavior
    Merideth A Addicott, John M Pearson, Brett Froeliger, Michael L Platt, and F Joseph McClernon (2014).
    Psychiatry Research: Neuroimaging 224(3)
  2. Pupil size and social vigilance in rhesus macaques
    R Becket Ebitz, John M Pearson, and Michael L Platt (2014).
    Frontiers in neuroscience 8
  3. Lemurs and macaques show similar numerical sensitivity
    Sarah M Jones, John Pearson, Nicholas K DeWind, David Paulsen, Ana-Maria Tenekedjieva, and Elizabeth M Brannon (2014).
    Animal Cognition 17(3)
  4. Differential reward learning for self and others predicts self-reported altruism
    Youngbin Kwak, John Pearson, and Scott A Huettel (2014).
    PLoS One 9(9)
  5. Decision making: the neuroethological turn
    John M Pearson, Karli K Watson, and Michael L Platt (2014).
    Neuron 82 (5) 82(5)

2013

  1. Smoking and the bandit: A preliminary study of smoker and nonsmoker differences in exploratory behavior measured with a multiarmed bandit task.
    Merideth A Addicott, John M Pearson, Jessica Wilson, Michael L Platt, and F Joseph McClernon (2013).
    Experimental and clinical psychopharmacology 21(1)
  2. Postreward delays and systematic biases in measures of animal temporal discounting
    Tommy C Blanchard, John M Pearson, and Benjamin Y Hayden (2013).
    Proceedings of the National Academy of Sciences 110(38)
  3. Neuroethology of primate social behavior
    Steve WC Chang, Lauren JN Brent, Geoffrey K Adams, Jeffrey T Klein, John M Pearson, Karli K Watson, and Michael L Platt (2013).
    Proceedings of the National Academy of Sciences 110(Supplement 2)
  4. Neuroetología del comportamiento social de los primates
    Steve WC Chang, Lauren Brent, Geoffrey K Adams, Jeffrey T Klein, John M Pearson, and Michael L Platt (2013).
    Ludus Vitalis 21(40)
  5. Rapid brain responses independently predict gain maximization and loss minimization during economic decision making
    René San Martín, Lawrence G Appelbaum, John M Pearson, Scott A Huettel, and Marty G Woldorff (2013).
    Journal of Neuroscience 33(16)
  6. Change detection, multiple controllers, and dynamic environments: insights from the brain
    John M Pearson, and Michael L Platt (2013).
    Journal of the experimental analysis of behavior 99(1)
  7. Dopamine: burning the candle at both ends
    John M Pearson, and Michael L Platt (2013).
    Neuron 79(5)
  8. Individual differences in social information gathering revealed through Bayesian hierarchical models
    John M Pearson, Karli K Watson, Jeffrey T Klein, R Becket Ebitz, and Michael L Platt (2013).
    Frontiers in Neuroscience 7
  9. Through their eyes: selective attention in peahens during courtship
    Jessica L Yorzinski, Gail L Patricelli, Jason S Babcock, John M Pearson, and Michael L Platt (2013).
    Journal of Experimental Biology 216(16)

2012

  1. Neuroethology of decision-making
    Geoffrey K Adams, Karli K Watson, John Pearson, and Michael L Platt (2012).
    Current opinion in neurobiology 22 (6) 22(6)
  2. Dynamic decision making in the brain
    John Pearson, and Michael L Platt (2012).
    Nature neuroscience 15(3)

2011

  1. Neuronal basis of sequential foraging decisions in a patchy environment
    Benjamin Y Hayden, John M Pearson, and Michael L Platt (2011).
    Nature neuroscience 14(7)
  2. Surprise signals in anterior cingulate cortex: neuronal encoding of unsigned reward prediction errors driving adjustment in behavior
    Benjamin Y Hayden, Sarah R Heilbronner, John M Pearson, and Michael L Platt (2011).
    Journal of Neuroscience 31(11)
  3. Posterior cingulate cortex: adapting behavior to a changing world
    John M Pearson, Sarah R Heilbronner, David L Barack, Benjamin Y Hayden, and Michael L Platt (2011).
    Trends in cognitive sciences 15 (4) 15(4)
  4. A role for posterior cingulate cortex in policy switching and cognitive control
    J Pearson, B Hayden, and M Platt (2011).
    Mars R, Sallet J, Rushworth S, Yeung N (eds), Neural Basis of Motivational and Cognitive Control. Cambridge, MA: MIT Press

2010

  1. Explicit information reduces discounting behavior in monkeys
    John M Pearson, Benjamin Y Hayden, and Michael L Platt (2010).
    Frontiers in psychology 1
  2. A physiologically-inspired model of numerical classification based on graded stimulus coding
    John Pearson, Jamie D Roitman, Elizabeth M Brannon, Michael Platt, and Sridhar Raghavachari (2010).
    Frontiers in Behavioral Neuroscience 4

2009

  1. Fictive reward signals in the anterior cingulate cortex
    Benjamin Y Hayden, John M Pearson, and Michael L Platt (2009).
    science 324(5929)
  2. Confidence and corrections: how we make and un-make up our minds
    John Pearson, and Michael L Platt (2009).
    Neuron 63(6)
  3. Neurons in posterior cingulate cortex signal exploratory decisions in a dynamic multioption choice task
    John M Pearson, Benjamin Y Hayden, Sridhar Raghavachari, and Michael L Platt (2009).
    Current biology 19(18)

2004

  1. Gravitons, inflatons, twisted bits: A noncommutative bestiary
    and John Pearson (2004).
    Princeton University

2003

  1. Tracing the string: BMN correspondence at finite J2/N
    John Pearson, Marcus Spradlin, Diana Vaman, Herman Verlinde, and Anastasia Volovich (2003).
    Journal of High Energy Physics 2003(05)

2002

  1. Brane/flux annihilation and the string dual of a non-supersymmetric field theory
    Shamit Kachru, John Pearson, and Herman Verlinde (2002).
    Journal of High Energy Physics 2002(06)

1999

  1. Semiclassical corrections to the oscillation frequencies of a trapped Bose-Einstein condensate
    Eric Braaten, and John Pearson (1999).
    Physical review letters 82(2)

  1. TOWARDS A COMPUTATIONAL PSYCHIATRY OF TRANSDIAGNOSTIC DEFICITS IN COGNITIVE CONTROL
    Christina Bejjani, Tobias Egner, John Pearson, Terrie E Moffitt, Avshalom Caspi, and Alison Adcock ().

  2. Bayesian nonparametric models characterize social sensitivity in a competitive dynamic game
    Kelsey McDonald, Scott Huettel, and John Pearson ().

  3. Gaussian Process Models Characterize Other-Regarding Strategies Over Multiple Timescales in a Dynamic Social Game
    Kelsey McDonald, William F Broderick, Scott Huettel, and John Pearson ().