Brain-computer interface is an emerging field of science and technology. It can realize direct interactive control of various devices by detecting brain neural activity information, decoding human intentions. This special session discusses the core technologies related to brain-computer interface, including brain signal acquisition technology, invasive and non-invasive EEG, EMG and other neural signal intention decoding methods, typical methods such as spiking network, deep learning, transfer learning and other artificial intelligence methods. This special session also include some applications of brain-computer interface in human-computer interaction, medical rehabilitation, etc. The objective of this session is to promote the exchange of new technologies and methods in the field of brain-computer interface decoding technology and its application by experts in related fields, and promote the development and application of human-computer interaction and rehabilitation.
The topics of interest include, but are not limited to:
- Neural Decoding
- Spiking Neural Network
- Deep Learning
- Transfer Learning
- Machine Learning
Organizer: Prof. Banghua Yang, Shanghai University, China
Co-Organizer: Prof. Chao Chen, Tianjin University of Technology, China
Submission Guideline
Please submit your manuscript via Electronic Submission System (account is needed). (Please remark the session number when you make the submission.)
Important Dates
- Submission of Full Papers: May 30, 2024
- Notification of Review Result of Papers from Special Sessions: June 30, 2024
- Registration Deadline: July 15, 2024
