Multiscale Temporal Self-Attention and Dynamical Graph Convolution Hybrid Network for EEG-Based Stereogram Recognition

Multiscale Temporal Self-Attention and Dynamical Graph Convolution Hybrid Network for EEG-Based Stereogram Recognition

Stereopsis is the ability of human beings to get the 3D perception on real scenarios. The conventional stereopsis measurement is based on subjective judgment for stereograms, leading to be easily affected by personal consciousness. To alleviate the issue, in this paper, the EEG signals evoked by dyn...

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Bibliographic Details
Main Authors: Lili Shen, Mingyang Sun, Qunxia Li, Beichen Li, Zhaoqing Pan, Jianjun Lei
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
EEG
DRDS
self-attention
multi-scale convolution
dynamical graph convolution
Online Access:https://ieeexplore.ieee.org/document/9771231/

Internet

https://ieeexplore.ieee.org/document/9771231/

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