Warren Woodrich Pettine

About me

How do we make complex decisions when the facts are ambiguous? Moreover, how do we assign confidence to these judgements? I investigate these questions by analyzing neural data, building computational models and designing behavioral tasks. My scientific interests include neural networks, reinforcement learning, systems neuroscience and computational psychiatry. In particular, I care about how decision-making is altered in psychiatric conditions such as ADHD, autism, psychosis or psychopathy, as well as methods to improve judgement calibration. I am an Assistant Professor at the University of Utah's Huntsman Mental Health Insitute.

You can find more about my academic and professional background on my CV.

A plain-language description of work in my recent Nature Human Behavior paper is available here.

Publications

Pettine, Warren Woodrich, Winters, D. E., Anticevic, Alan, Murray, John D., Jacob, Suma. 2023. “A tool for longitudinal assessment of individual differences in judgment calibration during category learning.” PsyArXiv, December. https://osf.io/n32gy.


Pettine, Warren Woodrich, Raman, Dhruva V., Redish, A. D., Murray, John D. 2023. “Human latent-state generalization through prototype learning with discriminative attention.” Nature Human Behavior, March. https://www.nature.com/articles/s41562-023-01543-7.


Winters, D. E., Pettine, W. W., Sakai, J. T. 2023. “Cognitive mechanisms underlying prosocial decision making in callous-unemotional traits.” Journal of Psychopathology and Behavioral Assessment, March. https://link.springer.com/article/10.1007/s10862-023-10043-x.


Pettine, Warren Woodrich, Raman, Dhruva V., Redish, A. D., Murray, John D. 2021. “Human latent-state generalization through prototype learning with discriminative attention.” PsyArXiv, December. https://doi.org/10.31234/osf.io/ku4fr.


Pettine, Warren Woodrich, Louie, Kenway, Murray, John D, Wang, Xiao-Jing. 2021. “Excitatory-inhibitory tone shapes decision strategies in a hierarchical neural network model of multi-attribute choice.” PLoS Computational Biology, March, PMID: 33705386. https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008791.


Pettine, Warren W., Nicholas A. Steinmetz, and Tirin Moore. 2019. “Laminar Segregation of Sensory Coding and Behavioral Readout in Macaque V4.” Proceedings of the National Academy of Sciences, June, 201819398. https://doi.org/10.1073/pnas.1819398116.


Livingstone, Margaret S., Warren W. Pettine, Krishna Srihasam, Brandon Moore, Istvan A. Morocz, and Daeyeol Lee. 2014. “Symbol Addition by Monkeys Provides Evidence for Normalized Quantity Coding.” Proceedings of the National Academy of Sciences 111 (18): 6822–27. https://doi.org/10.1073/pnas.1404208111.


Pettine, W., M. Jibson, T. Chen, S. Tobet, P. Nikkel, and C. S. Henry. 2012. “Characterization of Novel Microelectrode Geometries for Detection of Neurotransmitters.” IEEE Sensors Journal 12 (5): 1187–92. https://doi.org/10.1109/JSEN.2011.2163708.

Book Chapters

Moore, Tirin, Jonikaitus, Donatas, Pettine, Warren Woodrich. 2020. “A Role for Gaze Control Circuitry in the Selection and Maintenance of Visual Spatial Information,” The Cognitive Neurosciences (Gazzaniga, M.). MIT Press.


Bahmani, Zahra, Kelsey Clark, Yaser Merrikhi, Adrienne Mueller, Warren Pettine, M. Isabel Vanegas, Tirin Moore, and Behrad Noudoost. 2019. “Prefrontal Contributions to Attention and Working Memory,” Current Topics in Behavioral Neurosciences, , 1–25. https://doi.org/10.1007/7854_2018_74.

Contact

I am always looking for new collaborators, interesting conversations and fearless ski buddies. You can reach me via email: warren.pettine@yale.edu.