Publications

Recent articles

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

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
    MA Addicott, JM Pearson, MM Sweitzer, DL Barack, and ML 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 cingudate cortex in policy switching and cognitive control
    J Pearson, B Hayden, and M Platt (2011).
    MarsR. SalletJ. RushworthS. YeungN.(Eds.), Neural basis of motivational and cognitive control

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)

  1. Inferring individual goals using inverse reinforcement learning
    Kelsey McDonald, Shariq Iqbal, Scott Huettel, and John Pearson ().