Bradley B. Doll bradleydoll.com

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1 Bradley B. Doll bradleydoll.com RESEARCH INTERESTS Computational modeling of decision-making, learning, and memory. I develop psychologically and biologically constrained computational models of decision processes, and test their behavioral and neural predictions with genetic assays, fmri, and patient studies. ACADEMIC HISTORY Postdoctoral Research Fellow, 2011-Present New York University, Columbia University New York, NY Supervisors: Nathaniel D. Daw, Daphna Shohamy Ph.D. Cognitive Science, 2011 Brown University Providence, RI Thesis: Corticostriatal substrates of confirmation bias in reinforcement learning: behavior, genetics, and neurocomputation Advisor: Michael J. Frank Visiting Student, Summer 2008 Montreal Neurological Institute Montreal, Quebec Lab Director: Lesley Fellows M.A. Psychology, 2008 University of Arizona Tucson, AZ B.A. Psychology, 2001 American University Washington, DC Magna cum laude JOURNAL PUBLICATIONS Hackel, M. L., Doll, B. B., Amodio, D. M. (2015). Instrumental learning of traits vs rewards: dissociable neural correlates and effects on decision-making. Nature Neuroscience. 18, Doll, B. B., Duncan, K. D., Simon, D. A., Shohamy, D., Daw, N. D. (2015). Model-based choices involve prospective neural activity. Nature Neuroscience. 18, Decker, J. H., Lourenco, F. S., Doll, B. B., Hartley, C. A. (2015). Experiential learning outweighs instruction prior to adulthood. Cognitive, Affective, and Behavioral Neuroscience. 2,

2 Worthy, D. A., Otto, A. R., Doll, B. B., Maddox, W. T. (2015). Older adults are highly responsive to recent events during decision-making. Decision. 2 (1), 27. Doll, B. B., Shohamy, D., Daw, N. D. (2015). Multiple memory systems as substrates for multiple decision systems. Neurobiology of Learning and Memory. 117, Doll, B. B., Waltz, J. A., Cockburn, J., Brown, J. K., Frank, M. J., Gold, J. M. (2014). Reduced susceptibility to confirmation bias in schizophrenia. Cognitive, Affective, and Behavioral Neuroscience 14, Doll, B. B., Simon, A. S., Daw, N. D. (2012). The ubiquity of model-based reinforcement learning. Current Opinion in Neurobiology 22, Badre, D., Doll, B. B., Long, N. M., Frank, M. J. (2012). Rostrolateral prefrontal cortex and individual differences in uncertainty-driven exploration. Neuron 73, Doll, B. B., Hutchison, K. E., Frank, M. J. (2011). Dopaminergic genes predict individual differences in confirmation bias. Journal of Neuroscience 31, Chang, L. J., Doll, B. B., van t Wout, M., Frank, M. J., and Sanfey, A. G. (2010) Seeing is believing: Trustworthiness as a dynamic belief. Cognitive Psychology 61, Tsuchida, A., Doll, B. B., Fellows, L. K. (2010). Beyond reversal: a critical role for human orbitofrontal cortex in flexible learning from probabilistic feedback. Journal of Neuroscience 30, Doll, B.B., Jacobs, W.J., Sanfey, A.G and Frank M.J. (2009). Instructional control of reinforcement learning: A behavioral and computational investigation. Brain Research 1299, Frank, M.J., Doll, B.B, Oas-Terpstra, J. and Moreno, F. (2009). Prefrontal and striatal dopaminergic genes predict individual differences in exploration and exploitation. Nature Neuroscience 12, BOOK CHAPTERS Arzi A., Banerjee S., Cox J.C., D Souza D., De Brigard F., Doll B.B., Fairley J., Fleming S.M., Herholz S.C., King D.R., Libby L.A., Myers J.C., Neta M., Pitcher D., Power J.D., Rass O., Ritchey M., Jubal E.R., Royston A., Wagner D.D., Wang W., Waring J., Williams J., Wood S. (2014). The significance of cognitive neuroscience: Findings, applications, and challenges. In Gazzaniga, M.S. & Mangun, G. R. (Eds.) The Cognitive Neurosciences, Fifth Edition. Boston: The MIT Press. Doll, B. B., & Frank, M. J. (2009). The basal ganglia in reward and decision making: computational models and empirical studies. In Dreher, J. C., & Tremblay, L. (Eds.) Reward and Decision Making. Elsevier. AWARDS & FELLOWSHIPS 2

3 Summer Institute in Cognitive Neuroscience Fellowship, Tahoe, Summer 2013 Summer Institute in Cognitive Neuroscience Fellowship, UCSB, Summer 2012 Social and Behavioral Sciences Research Institute pre-doctoral research grant, UA, 2006 INVITED TALKS Dresden Symposium (SFB 940): Dynamic regulation, modulation, and optimization of cognitive control. Technische Universität Dresden, Dresden, Germany, Sackler Institute, Weill Medical College of Cornell University, NY, Affective Brain Lab Series, University College London, London, UK, Mind, Technology, and Society series, University of California, Merced, CA, Sackler Science speaker series, Weill Medical College of Cornell University, NY, NYUConCats meeting, New York University, NY, Symposium: Learning the value of actions. Society for Neuroscience, San Diego, CA, Symposium: Contemporary approaches to behavior analysis. Association for Behavior Analysis International, Phoenix, AZ, CONFERENCE ABSTRACTS Doll, B.B, Daw, N.D., Frank, M.J. (May 2015). Genetic components of model-based and model-free reinforcement learning. Association for Psychological Science, New York, NY. Doll, B.B., Duncan, K.D., Simon, A.D., Daw, N.D., Shohamy, D. (September 2014). Neural evidence of prospective evaluation predicts model-based choice. Society for Neuroeconomics, Miami, FL. Duncan, K.D., Doll, B.B., Daw, N.D., Shohamy, D. (September 2014). Contributions of episodic memory to value-based decisions. Society for Neuroeconomics, Miami, FL. Atlas L.Y., Doll B.B., Daw N.D., Phelps E.A, (April 2014). Dissociable effects of instructed knowledge on amygdala and striatum during aversive learning. Society for Affective Sciences, Bethesda, MD. Doll, B. B., Duncan, K. D., Simon, D. A., Shohamy, D., & Daw, N. D. (November 2013). Neural correlates of model-based and model-free reinforcement learning. Society for Neuroscience, San Diego, CA. Duncan, K.D., Doll, B.B., Daw, N.D., and Shohamy, D. (November 2013) Interaction between the medial temporal lobe and the striatum during configural and elemental probabilistic classification learning. Society for Neuroscience, San Diego, CA. 3

4 Atlas, L.Y., Doll, B.B., Daw, N.D., Phelps, E.A. (November 2013) How Instructed knowledge shapes aversive learning. Society for Neuroscience, San Diego, CA. Doll, B. B., Duncan, K. D., Simon, D. A., Shohamy, D., & Daw, N. D. (October 2013). Neural correlates of forward planning in model-based reinforcement learning. Reinforcement Learning and Decision Making Meeting, Princeton, NJ. Atlas, L.Y., Doll, B.B., Daw, N.D., Phelps, E.A. (October 2013) How Instructed knowledge shapes aversive learning. Reinforcement Learning and Decision Making Meeting, Princeton, NJ. Atlas L.Y., Doll B.B., Li J., Daw N.D., Phelps E.A. (June 2013). Brain response during aversive learning are modulated by instructions. Organization for Human Brain Mapping, Seattle, WA. Atlas L.Y., Doll B.B., Li J., Daw N.D., Phelps E.A. (April 2013). Effects of instructed knowledge on aversive learning. Social and Affective Neuroscience Society, San Francisco, CA. Doll, B. B., Shohamy, D., & Daw, N. D. (October 2012). Cognitive correlates of model-based learning. Society for Neuroeconomics, Miami, FL. Doll, B. B., Daw, N. D., & Frank, M. J. (November 2011). Genetic components of model-based and model-free reinforcement learning in humans. Society for Neuroscience, Washington, D.C. Doll, B. B. & Frank, M. J. (April 2010). Instructional control of reinforcement learning: a neurocomputational and genetic account. Cognitive Neuroscience Society, Montreal, QC, Canada. Doll, B. B. & Frank, M. J. (November 2009). Neurocomputational accounts of learning from instruction and experience. Computational Cognitive Neuroscience Conference. Boston, MA. Doll, B. B. & Frank, M. J. (October 2009). Instructional control of reinforcement learning: neurocomputational and genetic components. Society for Neuroscience, Chicago, IL. Doll, B. B., Frank, M. J., Sanfey, A. G., & Jacobs, W. J. (April 2008). Instructional control of probability learning. Cognitive Neuroscience Society, San Francisco, CA. Doll, B. B., Frank, M. J., Sanfey, A. G., & Jacobs, W. J. (November 2007). Bad advice alters choice in the probabilistic selection task. Society for Judgment and Decision Making, Long Beach, CA. Doll, B. B., McKenna, B. & Jacobs, W. J. (May 2006). Rule-governed search strategies in the virtual arena. Cognition and Neural Systems data blitz. University of Arizona. Tucson, AZ. TEACHING 4

5 Instructor Positions Summer 2007 & 2008: Introduction to Statistics. University of Arizona. Laboratory Instructor Positions Spring 2008: Computational Cognitive Neuroscience. University of Arizona. Spring 2009: Computational Cognitive Neuroscience. Brown University. Fall 2006: Psychological Research Methods. University of Arizona. Ad-Hoc Referee Publications: Journal of Neuroscience, Journal of Cognitive Neuroscience, Biological Psychiatry, Brain Research, WIREs Cognitive Science, Cognitive Affective and Behavioral Neuroscience, NeuroImage: Clinical, Cognitive Science 5