A transformer-based deep neural network model for SSVEP classification

Steady-state visual evoked potential (SSVEP) is one of the most commonly used control signals in the brain-computer interface (BCI) systems. However, the conventional spatial filtering methods for SSVEP classification highly depend on the subject-specific calibration data. The need for the methods t...

Fuld beskrivelse

Bibliografiske detaljer
Main Authors: Chen, Jianbo, Zhang, Yangsong, Pan, Yudong, Xu, Peng, Guan, Cuntai
Andre forfattere: School of Computer Science and Engineering
Format: Journal Article
Sprog:English
Udgivet: 2023
Fag:
Online adgang:https://hdl.handle.net/10356/172792