Cognitive and Psychological Sciences

Focus Areas

We share a belief that transformational advances in understanding mind, brain, and behavior will occur at the boundaries of disciplines, across levels of analysis, and through a diversity of approaches, paradigms, and perspectives. Our interdisciplinary character is captured by this image, which crosses traditional areas with our cross-cutting research themes.

The heat map shows how our faculty self-affiliate.

Figure showing integrative research themes across traditional research areas in CoPsy
Integrative research themes across traditional research areas in CoPsy

Our faculty conduct cutting-edge, award-winning research in these areas using a range of approaches and methods, and we are highly collaborative both inside and outside of Brown. Explore this page to learn more about CoPsy's research interests!

Behavioral Neuroscience/Comparative

Our Behavioral Neuroscience research delves into the neural foundations and computational models that drive critical processes, such as interval timing, emotional development, and auditory perception. We explore the complexities of memory, and higher cognitive functions. Our work also extends to understanding the intricacies of canine communication and social cognition, offering insights that bridge human and animal behavior.

Recent Example Publication: Felsche, E., Völter, C. J., Herrmann, E., Seed, A. M., & Buchsbaum, D. (2024). How can I find what I want? Can children, chimpanzees and capuchin monkeys form abstract representations to guide their behavior in a sampling task?. Cognition245, 105721.

ComparativeImage

Image taken from original article and available for use under a Creative Commons License (CC BY-NC-ND 4.0); no changes were made.

Cognitive Neuroscience

Our Cognitive Neuroscience research uncovers the neural mechanisms underlying essential cognitive functions like attention, perception, and learning. We investigate how the brain manages memory, regulates emotions, and exercises executive control, all of which are crucial for decision-making. This work provides a deeper understanding of the intricate processes that shape our thoughts and behaviors.

Recent Example Publication: Kikumoto, A., Bhandari, A., Shibata, K., & Badre, D. (in press at Nature Communications). A transient high-dimensional geometry affords stable conjunctive subspaces for efficient action election.

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Image taken from original article and available for use under a Creative Commons License (CC BY-NC-ND 4.0); the orientation of the figure was adjusted to be horizontal rather then vertical.

Faculty

Development

Our Development research explores the foundations of cognition in both human and animal models. We delve into how visual attention, learning, and memory evolve, alongside the development of causal reasoning, pretend play, social behavior, language, and perception. This research provides valuable insights into the processes that shape cognitive development across species.

Recent Example Publication: Brody, G., & Feiman, R. (2024). Mapping words to the world: Adults, but not children, understand how mismatching descriptions referJournal of Experimental Psychology: General.

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Copyright belongs to Gabor Brody, first-author of the publication.

Higher-Level Cognition

Our Higher-Level Cognition research delves into the complexities of human memory, learning, and cognitive control. We explore how people make inductive inferences, reason causally, and navigate decision-making. Our work also examines the development of moral reasoning, social cognition, and theory of mind, shedding light on the intricate processes that underpin human thought and social interactions.

Recent Example Publication: Light, N., Fernbach, P. M., Rabb, N., Geana, M. V., & Sloman, S. A. (2022). Knowledge overconfidence is associated with anti-consensus views on controversial scientific issuesScience Advances8(29), eabo0038.

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Image taken from original article and available for use under a Creative Commons License (CC BY-NC-ND 4.0); no changes were made.

Neural/Computational Models of Mind, Brain, and Behavior

Our research in Computational Models focuses on creating neural and computational frameworks to understand key processes like motor control, vision, categorization, learning, reasoning, and language. These models provide powerful insights into the mechanisms driving human cognition, enabling us to simulate and predict complex mental functions with precision.

Recent Example Publication: Jaskir, A., & Frank, M. J. (2023). On the normative advantages of dopamine and striatal opponency for learning and choiceElife12, e85107.

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Image taken from original article and available for use under a Creative Commons License (CC BY-NC-ND 4.0); no changes were made.

Faculty

Perception and Action

Our Perception and Action research combines computational, psychophysical, and ecological approaches to unravel how we perceive shape and motion, recognize objects and scenes, and process auditory events. We also investigate the mechanisms behind attention, perceptual learning, and the control of action, offering comprehensive insights into how we interact with and interpret the world around us.

Recent Example Publication: Fel, T., Boutin, V., Béthune, L., Cadène, R., Moayeri, M., Andéol, L., ... & Serre, T. (2024). A holistic approach to unifying automatic concept extraction and concept importance estimationAdvances in Neural Information Processing Systems36.

Perception

Image lawfully reproduced from NeurIPS.

Social Psychology

Our Social Psychology research delves into how we understand and navigate the social world. We explore social cognition, theory of mind, and moral judgment, as well as how we perceive personality and interact with different situations. Our work also examines self-image, social projection, intergroup perception, and strategic behavior, providing deep insights into the complexities of human social behavior.

Recent Example Publication: Son, J. Y., Bhandari, A., & FeldmanHall, O. (2023). Abstract cognitive maps of social network structure aid adaptive inferenceProceedings of the National Academy of Sciences120(47), e2310801120.

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Image taken from original article and available for use under a Creative Commons License (CC BY-NC-ND 4.0); no changes were made.