John Pearson
Assistant Professor of Biostatistics and Bioinformatics
Education & Training
Ph.D., Princeton University 2004
B.S., University of Kentucky at Lexington 1999
Overview
My research focuses on the application of machine learning methods to the analysis of brain data and behavior. I have a special interest in the neurobiology of reward and decision-making, particularly issues surrounding foraging, impulsivity, and self-control. More generally, I am interested in computational principles underlying brain organization at the mesoscale, and work in my lab studies phenomena that range from complex social behaviors to coding principles of the retina.
Location
Contact
Links
McDonald, K. R., and J. M. Pearson. “Cognitive bots and algorithmic humans: toward a shared understanding of social intelligence.” Current Opinion in Behavioral Sciences, vol. 29, Oct. 2019, pp. 55–62. Scopus, doi:10.1016/j.cobeha.2019.04.013. Full Text
McDonald, Kelsey R., et al. “Bayesian nonparametric models characterize instantaneous strategies in a competitive dynamic game.” Nat Commun, vol. 10, no. 1, Apr. 2019, p. 1808. Pubmed, doi:10.1038/s41467-019-09789-4. Full Text
Iqbal, Shariq N., et al. “Latent goal models for dynamic strategic interaction.” Plos Comput Biol, vol. 15, no. 3, Mar. 2019, p. e1006895. Pubmed, doi:10.1371/journal.pcbi.1006895. Full Text
Pearson, John M., et al. “Modelling the effects of crime type and evidence on judgments about guilt.” Nat Hum Behav, vol. 2, no. 11, Nov. 2018, pp. 856–66. Open Access Copy
Lighthall, Nichole R., et al. “Feedback-Based Learning in Aging: Contributions and Trajectories of Change in Striatal and Hippocampal Systems.” J Neurosci, vol. 38, no. 39, Sept. 2018, pp. 8453–62. Pubmed, doi:10.1523/JNEUROSCI.0769-18.2018. Full Text
Pearson, John. “Queuing cues in rapid cortical processing.” Nat Hum Behav, vol. 2, no. 9, Sept. 2018, pp. 620–21. Pubmed, doi:10.1038/s41562-018-0427-z. Full Text
Addicott, M. A., et al. “A Primer on Foraging and the Explore/Exploit Trade-Off for Psychiatry Research.” Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology, vol. 42, no. 10, Sept. 2017, pp. 1931–39. Epmc, doi:10.1038/npp.2017.108. Full Text
Dowd, Emma Wu, et al. “Decoding working memory content from attentional biases.” Psychon Bull Rev, vol. 24, no. 4, Aug. 2017, pp. 1252–60. Pubmed, doi:10.3758/s13423-016-1204-5. Full Text
Chen, Xin, et al. “Neuron's eye view: Inferring features of complex stimuli from neural responses.” Plos Comput Biol, vol. 13, no. 8, Aug. 2017, p. e1005645. Pubmed, doi:10.1371/journal.pcbi.1005645. Full Text
Pearson, John M., et al. “Local Fields in Human Subthalamic Nucleus Track the Lead-up to Impulsive Choices.” Frontiers in Neuroscience, vol. 11, Jan. 2017, p. 646. Epmc, doi:10.3389/fnins.2017.00646. Full Text
Pages
Chang, S. W. C., et al. “Neuroethology of primate social behavior.” In the Light of Evolution, vol. 7, 2014, pp. 115–34. Scopus, doi:10.17226/18573. Full Text
Selected Grants
Quantitative Methods for HIV/AIDS Research awarded by National Institutes of Health (Training Faculty). 2018 to 2023
A Systems Biology Approach to HIV-associated Neurocognitive Impairment: Role of Drug Abuse and Neuroinflammation awarded by National Institutes of Health (Collaborator). 2016 to 2021
Neural Circuit Mechanisms Mediating TMS and Oxytocin Effects on Social Cognition awarded by University of Pennsylvania (Principal Investigator). 2016 to 2021
Computational Modeling of Decision Making by Prosecutors and Jurors in Criminal Justice awarded by National Science Foundation (Co Investigator). 2017 to 2020
Nonparametric Bayes Methods for Big Data in Neuroscience awarded by National Institutes of Health (Principal Investigator). 2014 to 2019
Mechanisms of Parkinsonian Impulsivity in Human Subthalamic Nucleus awarded by National Institutes of Health (Principal Investigator). 2014 to 2017
Animal Model of Genetics and Social Behavior in Autism Spectrum Disorders awarded by National Institutes of Health (Advisor). 2012 to 2016
Contributions of Areas LIP and VIP to Numerical Behavior awarded by National Institutes of Health (Research Associate). 2009 to 2013