Curriculum Vitae - Department of Psychology - Princeton University

Matthew Botvinick, M.D., Ph.D. Page 20
Botvinick, M., Pereira, F., & Allen, K. (2008). Using pattern-analytic fMRI to study
intersensory integration in speech perception. (Fourteenth Annual Meeting of the
Organization for Human Brain Mapping.)
Botvinick, M. (2008). Activation-based memory for serial order. Proceedings of the
International Congress on Psychology.
Botvinick, M. (2008). Conflict monitoring and decision making. Proceedings of the
International Congress on Psychology.
Cowan, E., Wang, J., Houk, J. & Botvinick, M. (2009). An analysis of serial recall in a
macaque. Society for Neuroscience, Annual Meeting.
Fernandes, J., McGuire, J., Niv, Y. & Botvinick, M. (2009). Neural correlates of
hierarchical reinforcement learning: an fMRI study. Society for Neuroscience,
Annual Meeting.
Cikara, M., Botvinick, M. & Fiske, S. (2009). Red Sox v. Yankees: fMRI investigation of
pain and pleasure responses to a rival group’s outcomes. Social and Affective
Neuroscience Society, Annual Meeting.
McGuire, J. & Botvinick, M. (2009). Intrinsically aversive characteristics of
controlled cognition correlate with BOLD signal in left inferior frontal
gyrus. Organization for Human Brain Mapping.
McGuire, J. & Botvinick, M. (2009). Cortical responses during interference from
competing task sets. Society for Neuroscience, Annual Meeting.
McGuire, J. & Botvinick, M. (2010). Perceptual ambiguity drives subjective decision
costs: a test of neural mediation. Society for Cognitive Neuroscience, Annual
Meeting.
Schapiro, A., Rogers, T. & Botvinick, M. (2010). Beyond uncertainty: Behavioral and
computational investigations of the structure of event representations. Cognitive
Science Society, Annual Meeting.
Pereira, F., Botvinick, M. & Detre, G. (2010). Learning semantic features for fMRI data
from definitional text. NAACL-HLT (Association for Computational Linguistics
Annual Meeting, Los Angeles, CA).
Botvinick, M. M., Niv, Y., Diuk, C., Fernandes, J., & Barto, A. G. (2010). Hierarchical
reinforcement learning. Society for Neuroscience, Annual Meeting. Contribution
to a ‘nanosymposium’ entitled “Learning the Values of Actions.”