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Technical Program

SS-L2: Multivariate and Multimodal Analysis of Brain Signals

Session Type: Lecture

Time: Tuesday, March 16, 13:30 - 15:30

Location: Room A3

Session Chairs: Justin Dauwels, MIT, Zhe (Sage) Chen, Harvard and Francois Vialatte, Riken, Japan

SS-L2.1: FUSION OF CONCURRENT SINGLE TRIAL EEG DATA AND FMRI DATA USING MULTI-SET CANONICAL CORRELATION ANALYSIS

Nicolle M. Correa; University of Maryland, Baltimore County

Tom Eichele; University of Bergen

Tulay Adali; University of Maryland, Baltimore County

Yi-Ou Li; University of Maryland, Baltimore County

Vince D. Calhoun; The Mind Research Network and The University of New Mexico

SS-L2.2: QUANTIFICATION OF INTER-TRIAL NON-STATIONARITY IN SPIKE TRAINS FROM PERIODICALLY STIMULATED NEURAL CULTURES

Il Park; University of Florida

Jose Principe; University of Florida

SS-L2.3: IDENTIFYING FUNCTIONAL CLUSTERS IN THE BRAIN USING PHASE SYNCHRONY

Marcos Bolanos; Michigan State University

Selin Aviyente; Michigan State University

Edward Bernat; Florida State University

SS-L2.4: SEIZURE PREDICTIONWITH SPECTRAL POWER OF TIME/SPACE-DIFFERENTIAL EEG SIGNALS USING COST-SENSITIVE SUPPORT VECTOR MACHINE

Yun Park; University of Minnesota

Theoden Netoff; University of Minnesota

Keshab Parhi; University of Minnesota

SS-L2.5: A STATE SPACE APPROACH TO MULTIMODAL INTEGRATION OF SIMULTANEOUSLY RECORDED EEG AND FMRI

Patrick Purdon; Massachusetts General Hospital

Camilo Lamus; Massachusetts Institute of Technology

Matti Hamalainen; Massachusetts General Hospital

Emery Brown; Massachusetts Institute of Technology