Biostatistics Seminar: Donatello Telesca

Presentation: Inferring Brain Signals Synchronicity from a Sample of EEG Readings

Speaker: Donatello Telesca, Ph.D., Associate Professor of Biostatistics, University of California Los Angeles

Abstract: Inferring patterns of synchronous brain activity from a heterogeneous sample of electroencephalograms (EEG) is scientifically and methodologically challenging. While it is intuitively and statistically appealing to rely on readings from more than one individual in order to highlight recurrent patterns of brain activation, pooling information across subjects presents non‐trivial methodological problems. We discuss some of the scientific issues associated with the understanding of synchronized neuronal activity and propose a methodological framework for statistical inference from a sample of EEG readings. Our work builds on classical contributions in time‐series, clustering and functional data analysis, in an effort to reframe a challenging inferential problem in the context of familiar analytical techniques. Some attention is paid to computational issues, with a proposal based on the combination of machine learning and Bayesian techniques.

Thu, Nov 9, 2017, 3:30pm to 5:00pm
Room T-639 (HST)

Faculty Coordinator: Noah Simon,

Seminar Coordinator: Sandra Coke,