Decoding Brain Signals from Rapid-Event EEG for Visual Analysis Using Deep Learning
The perception and recognition of objects around us empower environmental interaction. Harnessing the brain’s signals to achieve this objective has consistently posed difficulties. Researchers are exploring whether the poor accuracy in this field is a result of the design of the temporal stimulation...
Saved in:
| Main Authors: | Madiha Rehman, Humaira Anwer, Helena Garay, Josep Alemany-Iturriaga, Isabel De la Torre Díez, Hafeez ur Rehman Siddiqui, Saleem Ullah |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-10-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/21/6965 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization
by: Yonghao Song, et al.
Published: (2023-01-01) -
EEG-based Incongruency Decoding in AR with sLDA, SVM, and EEGNet
by: Wimmer Michael, et al.
Published: (2024-10-01) -
An Interventional Brain-Computer Interface for Long-Term EEG Collection and Motion Classification of a Quadruped Mammal
by: Sining Li, et al.
Published: (2025-01-01) -
EEG Artifact Removal Strategies for BCI Applications: A Survey
by: Pardhu Thottempudi, et al.
Published: (2024-04-01) -
EEG Baseline Analysis for Effective Extraction of P300 Event-Related Potentials for Welfare Interfaces
by: Yuta Sasatake, et al.
Published: (2025-05-01)