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Warren Pettine

Warren Pettine, MD

Languages spoken: English

Academic Information

Departments Primary - Psychiatry

Divisions: Adult Psychiatry

Warren Woodrich Pettine, MD, is an Assistant Professor at the Huntsman Mental Health Institute and a member of the Interdisciplinary Neuroscience Program, with support from the Biomedical Informatics department, the Scientific Computing and Imaging Institute, and the U Health Digital Health Initiative. Dr. Pettine investigates how attention shapes decision making, and how that process can be altered in conditions such as autism, depression or attention-deficit/hyperactivity disorder. His research program combines theory, data analysis and behavioral experiments. To develop theories of attentional deployment he uses biophysical neural networks, reinforcement learning algorithms, artificial neural networks, and other cognitive computational approaches. These models are informed by analysis of neural activity time series recordings. Model predictions are then tested through innovative tasks, deployed both in controlled lab environments and at scale through online games. Dr. Pettine obtained a medical degree from the University of Colorado and received computational neuroscience training through research positions at Stanford, NYU, and Yale.

Education History

Postdoctoral Fellowship Yale School of Medicine
Postdoctoral Fellow
New York University
Postdoctoral Associate
Fellowship Stanford University
Research Fellow
University of Colorado School of Medicine
Undergraduate Colorado College

Selected Publications

Journal Article

  1. Pettine, Warren Woodrich and Winters, Drew E and Murray, John D and Anticevic, Alan and Jacob, Suma (2023). A tool for longitudinal assessment of individual differences in judgment calibration during category learning. (Epub ahead of print) PsyArXiv.
  2. Winters DE, Pettine WW, Sakai JT (2023). Cognitive Mechanisms Underlying Prosocial Decision Making in Callous-Unemotional Traits. J Psychopathol Behav Assess, 45(2), 308-321. (Read full article)
  3. Pettine WW, Raman DV, Redish AD, Murray JD (2023). Human generalization of internal representations through prototype learning with goal-directed attention. Nat Hum Behav, 7(3), 442-463. (Read full article)
  4. Winters DE, Pettine WW, Sakai JT (2022). Cognitive mechanisms underlying prosocial decision making in callous-unemotional traits. PsyArXiv.
  5. Pettine WW, Louie K, Murray JD, Wang XJ (2021). Excitatory-inhibitory tone shapes decision strategies in a hierarchical neural network model of multi-attribute choice. PLoS Comput Biol, 17(3), e1008791. (Read full article)
  6. Pettine WW, Steinmetz NA, Moore T (2019). Laminar segregation of sensory coding and behavioral readout in macaque V4. Proc Natl Acad Sci U S A, 116(29), 14749-14754. (Read full article)
  7. Livingstone MS, Pettine WW, Srihasam K, Moore B, Morocz IA, Lee D (2014). Symbol addition by monkeys provides evidence for normalized quantity coding. Proc Natl Acad Sci U S A, 111(18), 6822-7. (Read full article)
  8. Pettine W, Jibson M, Chen T, Tobet S, Nikkel P, Henry CS (2011). Characterization of Novel Microelectrode Geometries for Detection of Neurotransmitters. IEEE Sens J, 12(5), 1187-92.


  1. Bahmani Z, Clark K, Merrikhi Y, Mueller A, Pettine W, Isabel Vanegas M, Moore T, Noudoost B (2019). Prefrontal Contributions to Attention and Working Memory. [Review]. Curr Top Behav Neurosci, 41, 129-153. (Read full article)