BIO-4: Machine Learning and Signal Processing for Neural Signals |
Session Type: Poster |
Time: Tuesday, 8 June, 14:00 - 14:45 |
Location: Gather.Town |
Virtual Session: View on Virtual Platform |
Session Chair: Mujdat Cetin, University of Rochester |
BIO-4.1: EEG-BASED EMOTION CLASSIFICATION USING GRAPH SIGNAL PROCESSING |
Seyed Saman Saboksayr; University of Rochester |
Gonzalo Mateos; University of Rochester |
Mujdat Cetin; University of Rochester |
BIO-4.2: GRANGER CAUSALITY BASED DIRECTIONAL PHASE-AMPLITUDE COUPLING MEASURE |
Tamanna Tabassum Khan Munia; Michigan State University |
Selin Aviyente; Michigan State University |
BIO-4.3: REPAC: RELIABLE ESTIMATION OF PHASE-AMPLITUDE COUPLING IN BRAIN NETWORKS |
Giulia Cisotto; University of Padova |
BIO-4.4: SUBSPACE ODDITY - OPTIMIZATION ON PRODUCT OF STIEFEL MANIFOLDS FOR EEG DATA |
Maria Sayu Yamamoto; Tokyo University of Agriculture and Technology |
Maria Sayu Yamamoto; Université Paris-Saclay |
Florian Yger; Université Paris-Dauphine |
Sylvain Chevallier; Université Paris-Saclay |
BIO-4.5: DECENTRALIZED MOTION INFERENCE AND REGISTRATION OF NEUROPIXEL DATA |
Erdem Varol; Columbia University |
Julien Boussard; Columbia University |
Nishchal Dethe; Columbia University |
Olivier Winter; Champalimaud Centre for the Unknown |
Anne Urai; Leiden University |
Anne Churchland; University of California, Los Angeles |
Nick Steinmetz; University of Washington |
Liam Paninski; Columbia University |
BIO-4.6: DYNAMIC GRAPH LEARNING BASED ON GRAPH LAPLACIAN |
Bo Jiang; North Carolina State University |
Yiyi Yu; University of California, Santa Barbara |
Hamid Krim; North Carolina State University |
Spencer Smith; University of California, Santa Barbara |