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EEG-GPT: Exploring Capabilities of Large Language Models for EEG
  Classification and Interpretation

EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation

31 January 2024
Jonathan W. Kim
Ahmed Alaa
Danilo Bernardo
ArXivPDFHTML

Papers citing "EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation"

3 / 3 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
AAD-LLM: Neural Attention-Driven Auditory Scene Understanding
AAD-LLM: Neural Attention-Driven Auditory Scene Understanding
Xilin Jiang
Sukru Samet Dindar
Vishal B. Choudhari
Stephan Bickel
A. Mehta
Guy M McKhann
A. Flinker
D. Friedman
N. Mesgarani
37
2
0
24 Feb 2025
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
203
0
28 Jan 2021
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