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BIOT: Cross-data Biosignal Learning in the Wild

BIOT: Cross-data Biosignal Learning in the Wild

10 May 2023
Chaoqi Yang
M. P. M. Brandon Westover
Jimeng Sun
ArXivPDFHTML

Papers citing "BIOT: Cross-data Biosignal Learning in the Wild"

5 / 5 papers shown
Title
A Simple Review of EEG Foundation Models: Datasets, Advancements and Future Perspectives
A Simple Review of EEG Foundation Models: Datasets, Advancements and Future Perspectives
Junhong Lai
Jiyu Wei
Lin Yao
Yueming Wang
43
0
0
24 Apr 2025
BioSerenity-E1: a self-supervised EEG model for medical applications
Ruggero G. Bettinardi
Mohamed Rahmouni
Ulysse Gimenez
74
0
0
13 Mar 2025
Large Cognition Model: Towards Pretrained EEG Foundation Model
Large Cognition Model: Towards Pretrained EEG Foundation Model
Chi-Sheng Chen
Ying-Jung Chen
Aidan Hung-Wen Tsai
34
3
0
11 Feb 2025
Review of Deep Representation Learning Techniques for Brain-Computer
  Interfaces and Recommendations
Review of Deep Representation Learning Techniques for Brain-Computer Interfaces and Recommendations
Pierre Guetschel
Sara Ahmadi
Michael Tangermann
58
0
0
17 May 2024
BENDR: using transformers and a contrastive self-supervised learning
  task to learn from massive amounts of EEG data
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data
Demetres Kostas
Stephane Aroca-Ouellette
Frank Rudzicz
SSL
46
202
0
28 Jan 2021
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