A Visual Characteristic Land-Scape Design for EEG Signal Based on LSTM-GAN

A Visual Characteristic Land-Scape Design for EEG Signal Based on LSTM-GAN

The ultimate goal of artificial intelligence is to endow machines with human intelligence. Studying and simulating electroencephalogram signals is a way to achieve this goal. The human brain has similar representation abilities for similar visual stimuli. By utilizing this feature, a visual stimulus...

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Bibliographic Details
Main Authors: Juan Tan, Baochen Wu, Yunlong Ma
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Electroencephalogram visual decoding
Bi-LSTM
LSTM-B-GAN
generate adversarial re-construction
brain computer interaction
Online Access:https://ieeexplore.ieee.org/document/10473032/

Internet

https://ieeexplore.ieee.org/document/10473032/

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