Extending brain-computer interface access with a multilingual language model in the P300 speller

Author:

Loizidou P1ORCID,Rios E2,Marttini A1,Keluo-Udeke O3,Soetedjo J4,Belay J1,Perifanos K5,Pouratian N6ORCID,Speier W1ORCID

Affiliation:

1. Radiological Sciences, University of California, Los Angeles, Los Angeles, CA, USA

2. Radiology, Stanford University, Stanford, CA, USA

3. Computer Science, University of Arkansas at Pine Bluff, Pine Bluff, AR, USA

4. Bioengineering, University of Washington, Seattle, Washington, USA

5. Linguistics, National and Kapodistrian University of Athens, Athens, Attica, Greece

6. Neurosurgery, University of California, Los Angeles, Ca, USA

Funder

National Institute of Biomedical Imaging and Bioengineering

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Behavioral Neuroscience,Human-Computer Interaction,Biomedical Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A novel probabilistic and 3D column P300 stimulus presentation paradigm for EEG-based spelling systems;Neural Computing and Applications;2023-02-16

2. Brain-Computer Interface (BCI) Based on the EEG Signal Decomposition Butterfly Optimization and Machine Learning;Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning;2023

3. Effect of 3D Paradigm on Event-Related Potentials;Traitement du Signal;2022-11-30

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