Cognitive Science Speaker Series | Amplifying Individual Differences with Personalized Brain Network Models
Speaker: Sarah Muldoon Ph.D.
Title: Amplifying Individual Differences with Personalized Brain Network Models
Short Bio: Dr. Sarah Muldoon is an Associate Professor in the Mathematics Department, Director of the PhD Program in Computational and Data-Enabled Sciences through the Institute for Artificial Intelligence and Data Science, member of the Center for Cognitive Science, and member of the Neuroscience Program at the University at Buffalo, SUNY. Her research interests lie at the intersection of experiment and theory with a focus on applications of network theory to neuroscience data. She has spent extensive time working in experimental neurobiology labs and now runs a research group that couples theoretical advancement, computational modeling, and data-intensive analysis to study the relationship between structure and function in brain networks.
Abstract: Personalized Brain Network Models (BNMs) are a computational tool that simulate a specific individual’s brain activity based on measured structural brain connections. These models have been shown to be sensitive to individual differences in brain network structure and allow one to perform in silico experiments in order to make predictions about the effects of stimulation, disease progression, or drug treatment at the level of a specific individual. I will describe how one builds such computational models from neuroimaging data and describe work using personalized BNMs to explore individual differences in brain structure and function.
ASL-English interpreters have been requested. Light refreshments will be provided.
Event Snapshot
When and Where
Who
Open to the Public
Interpreter Requested?
Yes