BISP-P9.4
SEMANTIC RECONSTRUCTION OF CONTINUOUS LANGUAGE FROM MEG SIGNALS
Bo Wang, Xiran Xu, Longxiang Zhang, Boda Xiao, Xihong Wu, Jing Chen, Peking University, China
Session:
BISP-P9: Neuroimaging and brain/human-computer interfaces-2 Poster
Track:
Biomedical Imaging and Signal Processing
Location:
Poster Zone 4C
Poster Board PZ-4C.4
Poster Board PZ-4C.4
Presentation Time:
Thu, 18 Apr, 13:10 - 15:10 (UTC +9)
Session Chair:
Toshihisa Tanaka, Tokyo University of Agriculture and Technology (TUAT)
Session BISP-P9
BISP-P9.1: ADAPTIVE MULTIVIEW COMMUNITY-PRESERVED GRAPH CONVOLUTIONAL NETWORK FOR MULTIATLAS-BASED FUNCTIONAL CONNECTIVITY ANALYSIS
Wei Wang, Xingcan Hu, Li Xiao, University of Science and Technology of China, China; Yu-Ping Wang, Tulane University, United States of America
BISP-P9.2: GRAPH-BASED PERMUTATION PATTERNS FOR THE ANALYSIS OF TASK-RELATED FMRI SIGNALS ON DTI NETWORKS IN MILD COGNITIVE IMPAIRMENT
John Stewart Fabila Carrasco, Avalon Campbell-Cousins, University of Edinburgh, United Kingdom of Great Britain and Northern Ireland; Mario A. Parra-Rodriguez, University of Strathclyde, United Kingdom of Great Britain and Northern Ireland; Javier Escudero, University of Edinburgh, United Kingdom of Great Britain and Northern Ireland
BISP-P9.3: MULTI-SOURCE DOMAIN ADAPTATION WITH TRANSFORMER-BASED FEATURE GENERATION FOR SUBJECT-INDEPENDENT EEG-BASED EMOTION RECOGNITION
Shadi Sartipi, Mujdat Cetin, University of Rochester, United States of America
BISP-P9.4: SEMANTIC RECONSTRUCTION OF CONTINUOUS LANGUAGE FROM MEG SIGNALS
Bo Wang, Xiran Xu, Longxiang Zhang, Boda Xiao, Xihong Wu, Jing Chen, Peking University, China
BISP-P9.5: JOINT SPATIO-TEMPORAL FILTERING OF MOTION IMAGERY EEG SIGNALS FOR DATA ALIGNMENT IN TRANSFER LEARNING
Aimin Jiang, Shanshan Hou, Yibin Tang, Hohai University, China; Yanping Zhu, Changzhou University, China
BISP-P9.6: ENHANCING HEALTHCARE WITH EOG: A NOVEL APPROACH TO SLEEP STAGE CLASSIFICATION
SUVADEEP MAITI, SHIVAM SHARMA, BAPI RAJU, INTERNATIONAL INSTITUTE OF INFORMATION TECHNOLOGY HYDERABAD, India
BISP-P9.7: A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based Emotion Recognition
Xiang Li, Jian Song, Zhigang Zhao, Chunxiao Wang, Qilu University of Technology (Shandong Academy of Sciences), China; Dawei Song, Bin Hu, Beijing Institute of Technology, China
BISP-P9.8: A DENSENET-BASED METHOD FOR DECODING AUDITORY SPATIAL ATTENTION WITH EEG
Xiran Xu, Bo Wang, Yujie Yan, Xihong Wu, Jing Chen, Peking University, China
BISP-P9.9: CEDNET: A CONTINUOUS EMOTION DETECTION NETWORK FOR NATURALISTIC STIMULI USING MEG SIGNALS
Zeming He, Gaoyan Zhang, Tianjin University, China
BISP-P9.10: A ROBUST AND SCALABLE METHOD WITH AN ANALYTIC SOLUTION FOR MULTI-SUBJECT FMRI DATA ANALYSIS
Trung Vu, Hanlu Yang, Francisco Laport, Ben Gabrielson, University of Maryland, Baltimore County, United States of America; Vince Calhoun, Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, United States of America; Tulay Adali, University of Maryland, Baltimore County, United States of America
Contacts