LIVE ONLINE EVENT • JANUARY 20, 2022 • 9:00 am to 11:00 am (PST)
Arnaud Delorme, PhD will first present recent research on connectivity analysis in EEG and the ROIconnect and SIFT plugins of EEGLAB, which allow computing connectivity between regions of interest or independent components. Connectivity measures will involve granger causality and its derivative. In the second part of his presentation, Arnaud Delorme will talk about deep learning and present some recent results from his laboratory. Arnaud Delorme’s presentation will be didactic and explain all the foundational and theoretical bases necessary to understand these topics. No prior knowledge is required.
Arnaud Delorme, PhD, is a CNRS principal investigator in Toulouse, France, a member faculty at the University of California, San Diego, and a Scientist at the Institute of Noetic Sciences. In 2000, Dr. Delorme completed his PhD thesis on visual categorization in humans, monkeys, and machines. Dr. Delorme then moved to the Salk Institute for a postdoc in Terry Sejnowski and Francis Crick’s laboratory where he focused on statistical analysis of electroencephalographic (EEG) signals recorded during various cognitive tasks. He developed the free EEGLAB software for advanced analysis of EEG signals in collaboration with Scott Makeig, software which is now amongst the most used in EEG research worldwide. He was awarded a Brettencourt-Schueller young investigator award and a 10-year anniversary ANT young investigator award for his contributions to the field of EEG research.