Attention-based Transfer Learning for Brain-computer Interface

no code implementations • 25 Apr 2019 • Chuanqi Tan, Fuchun Sun, Tao Kong, Bin Fang, Wenchang Zhang

Different functional areas of the human brain play different roles in brain activity, which has not been paid sufficient research attention in the brain-computer interface (BCI) field.

Brain Computer Interface Classification +3

A Survey on Deep Transfer Learning

no code implementations • 6 Aug 2018 • Chuanqi Tan, Fuchun Sun, Tao Kong, Wenchang Zhang, Chao Yang, Chunfang Liu

As a new classification platform, deep learning has recently received increasing attention from researchers and has been successfully applied to many domains.

General Classification Transfer Learning

Deep Transfer Learning for EEG-based Brain Computer Interface

no code implementations • 6 Aug 2018 • Chuanqi Tan, Fuchun Sun, Wenchang Zhang

First, we model cognitive events based on EEG data by characterizing the data using EEG optical flow, which is designed to preserve multimodal EEG information in a uniform representation.

Brain Computer Interface EEG +2

Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography

no code implementations • 24 Jul 2018 • Chuanqi Tan, Fuchun Sun, Wenchang Zhang, Jianhua Chen, Chunfang Liu

Herein, we propose a novel approach to modeling cognitive events from EEG data by reducing it to a video classification problem, which is designed to preserve the multimodal information of EEG.

Brain Computer Interface Classification +4