Publications

Recent articles

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

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 A. G. Skene, David A. Ball, Artemis Malekpour, Donald H. Beskind, Neil Vidmar, John M. Pearson, R. McKell Carter, and J. H. Pate Skene (2022).
    Journal of Neuroscience 42(40)
  2. Social cognitive processes explain bias in juror decisions
    Jaime J Castrellon, Shabnam Hakimi, Jacob M Parelman, Lun Yin, Jonathan R Law, Jesse A G Skene, David A Ball, Artemis Malekpour, Donald H Beskind, Neil Vidmar, John M Pearson, J H Pate Skene, and R McKell Carter (2022).
    Social Cognitive and Affective Neuroscience
  3. Confidence and gradation in causal judgment
    Kevin O’Neill, Paul Henne, Paul Bello, John Pearson, and Felipe De Brigard (2022).
    Cognition 223
  4. Reproducible, incremental representation learning with rosetta VAE
    Miles Martinez, and John Pearson (2022).
    CoRR abs/2201.05206
  5. 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
  6. Contributions of bayesian and discriminative models to active visual perception across saccades
    Divya Subramanian, John Pearson, and Marc A. Sommer (2022).
    bioRxiv
  7. Efficient coding, channel capacity and the emergence of retinal mosaics
    Na Young Jun, Greg D. Field, and John M. Pearson (2022).
    Advances in Neural Information Processing Systems (*accepted*)
    Selected for Oral Presentation

2021

  1. 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)
  2. 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)
  3. Continuous decisions
    Seng Bum Michael Yoo, Benjamin Yost Hayden, and John M Pearson (2021).
    Philosophical Transactions of the Royal Society B 376(1819)
  4. 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)
  5. 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)
  6. *Improv*: A flexible software platform for adaptive neuroscience experiments
    Anne Draelos, Maxim Nikitchenko, Chaichontat Sriworarat, Daniel Sprague, Matthew D. Loring, Eftychios Pnevmatikakis, Andrea Giovannucci, Eva A. Naumann, and John M. Pearson (2021).
    bioRxiv
  7. 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
  8. Measuring and modeling confidence in human causal judgment
    Kevin O’Neill, Paul Henne, John Pearson, and Felipe De Brigard (2021).
    10.31234/osf.io/cgvwf
  9. Neural dynamics underlying birdsong practice and performance
    Jonnathan Singh Alvarado, Jack Goffinet, Valerie Michael, William Liberti, Jordan Hatfield, Timothy Gardner, John Pearson, and Richard Mooney (2021).
    Nature 599(7886)
  10. Deep generative analysis for task-based functional mri experiments
    Daniela Albuquerque, Jack Goffinet, Rachael Wright, and John Pearson (2021).
    Proceedings of the 6th machine learning for healthcare conference 149
  11. Encoding of odors by mammalian olfactory receptors
    Aashutosh Vihani, Maira H. Nagai, Conan Juan, Claire A. March, Xiaoyang S. Hu, John Pearson, and Hiroaki Matsunami (2021).
    bioRxiv
  12. 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)
  13. 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

2020

  1. 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)
  2. 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
  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. Online neural connectivity estimation with noisy group testing
    Anne Draelos, and John M Pearson (2020).
    Advances in neural information processing systems 33
  5. Online neural connectivity estimation with ensemble stimulation
    Anne Draelos, Eva A Naumann, and John M Pearson (2020).
    arXiv preprint arXiv:2007.13911

2019

  1. 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)
  2. 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)
  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
  4. Distributions. Jl: Definition and modeling of probability distributions in the juliastats ecosystem
    Mathieu Besançon, David Anthoff, Alex Arslan, Simon Byrne, Dahua Lin, Theodore Papamarkou, and John Pearson (2019).
    arXiv preprint arXiv:1907.08611

2018

  1. 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
  2. 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)
  3. Queuing cues in rapid cortical processing
    and John Pearson (2018).
    Nature human behaviour 2(9)
  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. 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)

2017

  1. Decoding working memory content from attentional biases
    Emma Wu Dowd, John M Pearson, and Tobias Egner (2017).
    Psychonomic bulletin & review 24(4)
  2. 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)
  3. 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)
  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. Dopamine: Context and counterfactuals
    Michael L Platt, and John M Pearson (2016).
    Proceedings of the National Academy of Sciences 113(1)
  2. 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)
  3. 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 (2016).
    Ludus Vitalis 21(40)

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. 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)
  3. 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)
  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. 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)
  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. Decision making: The neuroethological turn
    John M Pearson, Karli K Watson, and Michael L Platt (2014).
    Neuron 82(5)
  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. 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)

2013

  1. 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)
  2. 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)
  3. 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)
  4. 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)
  5. Dopamine: Burning the candle at both ends
    John M Pearson, and Michael L Platt (2013).
    Neuron 79(5)
  6. Individual differences in social information gathering revealed through bayesian hierarchical models
    John Pearson, Karli K Watson, Jeffrey T Klein, R Becket Ebitz, and Michael L Platt (2013).
    Frontiers in neuroscience 7
  7. 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)
  8. 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)

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)
  2. Dynamic decision making in the brain
    John Pearson, and Michael L Platt (2012).
    Nature neuroscience 15(3)

2011

  1. 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)
  2. 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)
  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)
  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. 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
  2. Explicit information reduces discounting behavior in monkeys
    John Pearson, Benjamin Hayden, and Michael Platt (2010).
    Frontiers in psychology 1

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. 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)
  3. Confidence and corrections: How we make and un-make up our minds
    John Pearson, and Michael L Platt (2009).
    Neuron 63(6)

2004

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

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)