28/01/20 @ 9am
The neural representation of mental states: Organization for prediction
To navigate the social world, people must understand and anticipate each other’s thoughts and feelings. How does the brain organize its representations of these hidden mental states? In the first part of my talk, I will describe the 3d Mind Model, which posits that three psychological dimensions describe the way the brain represents mental states: rationality (vs. emotionality), social impact (the extent to which states affect others), and valence (positive vs. negative). FMRI, computational text analysis, and behavior all indicate that the 3d Mind Model is a robust, comprehensive, and generalizable account of mental state representation. In the second part of my talk, I will discuss a key function of this map of the mental world: facilitating the prediction of mental state dynamics. I will present evidence from experience sampling and fMRI studies which indicates that representing mental states along the dimensions of the 3d Mind Model facilitates accurate and efficient social prediction. I will conclude by discussing new data from statistical learning and artificial neural network experiments, which suggest that the goal of prediction shapes how the brain generates mental state concepts in the first place.
Professor of Cognitive Neuroscience at UCLA
Clinical neuropsychologist with a broad interest in the study of human cognition in relation to brain structure, function, and pathology. Her experimental expertise includes structural and functional MRI and intraoperative electrocortical stimulation mapping, as well as classical neuropsychological approaches.
Jack Van Horn
Professor of Psychology and Data Science at University of Virginia
Author, researcher, lecturer on the human brain, its structure and function, and the role of information technology in sharing data for use in understanding fundamental neurological processes in health and disease.
Past Visiting Professors
Professor of Psychology and director of the Stanford Center for Reproducible Neuroscience. His research uses brain imaging to understand how we learn and make decisions and how we exert self-control. Some projects he developed include the Cognitive Atlas (htttp://www.cognitiveatlas.org) and OpenfMRI (http://www.openfmri.org).
University of California, Davis
American neuroscientist, Professor of Psychology and head of the Laboratory of Evolutionary Neurobiology. Her research interests center on how complex brains in mammals (e.g., humans) evolve from simpler forms.
Netherlands Institute for Neuroscience
Hans Op de Beeck
Maria Ida Gobbini
Boston Children's Hospital