An Attention-based Bi-LSTM Method for Visual Object Classification via EEG-Reference-Cited by-同舟云学术

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An Attention-based Bi-LSTM Method for Visual Object Classification via EEG

Published:2021-01 Issue: Volume:63 Page:102174
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Zheng Xiao,Chen Wanzhong

Funder

Domain Foundation of Equipment Advance Research of the 13th Five-year Plan

Development of Science and Technology of Jilin province, China

Fundamental Research Funds for the Central Universities of China

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference44 articles.

1. Decoding of motor imagery EEG based on brain source estimation;Li;Neurocomputing,2019

2. Automated classification and removal of EEG artifacts with SVM and wavelet-ICA;Sai;IEEE J. Biomedical Health Informat.,2018

3. Single-trial classification of event-related potentials in rapid serial visual presentation tasks using supervised spatial filtering;Cecotti;IEEE Trans. Neural Networks Learn. Syst.,2014

4. Perceived shape similarity among unfamiliar objects and the organization of the human object vision pathway;Beeck;J. Neurosci.,2008

5. Brain activity-based image classification from rapid serial visual presentation;Nima;IEEE Trans. Neural Syst. Rehabil. Eng.,2008

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