Real-time Bayesian control of reactive brain computer interfaces
(2023) 22nd IFAC World Congress 56. p.470-475- Abstract
- This paper introduces an improved method for real-time brain computer interface control. We demonstrate how Bayesian optimization and feedback can be used to achieve faster statistical convergence by controlling the sequence of stimuli shown in a brain computer interface based on a visual oddball paradigm.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/d6f43b84-c4c0-477b-b860-9f131dec0bf2
- author
- Tufvesson, Pex LU ; Gemborn Nilsson, Martin LU ; Soltesz, Kristian LU and Bernhardsson, Bo LU
- organization
- publishing date
- 2023
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Bayesian methods, Biomedical system modeling, Control in neuroscience, excitation design, Input, Parameter and state estimation, simulation and visualization
- host publication
- IFAC Proceedings Volumes (IFAC-PapersOnline)
- editor
- Ishii, Hideaki ; Ebihara, Yoshio ; Imura, Jun-ichi and Yamakita, Masaki
- volume
- 56
- edition
- 2
- pages
- 6 pages
- publisher
- Elsevier
- conference name
- 22nd IFAC World Congress
- conference location
- Yokohama, Japan
- conference dates
- 2023-07-09 - 2023-07-14
- external identifiers
-
- scopus:85164830371
- scopus:85164830371
- ISBN
- 9781713872344
- DOI
- 10.1016/j.ifacol.2023.10.1612
- project
- Optimizing the Next Generation Brain Computer Interfaces using Cloud Computing
- language
- English
- LU publication?
- yes
- id
- d6f43b84-c4c0-477b-b860-9f131dec0bf2
- date added to LUP
- 2023-03-04 15:00:43
- date last changed
- 2024-09-17 11:07:44
@inproceedings{d6f43b84-c4c0-477b-b860-9f131dec0bf2, abstract = {{This paper introduces an improved method for real-time brain computer interface control. We demonstrate how Bayesian optimization and feedback can be used to achieve faster statistical convergence by controlling the sequence of stimuli shown in a brain computer interface based on a visual oddball paradigm.}}, author = {{Tufvesson, Pex and Gemborn Nilsson, Martin and Soltesz, Kristian and Bernhardsson, Bo}}, booktitle = {{IFAC Proceedings Volumes (IFAC-PapersOnline)}}, editor = {{Ishii, Hideaki and Ebihara, Yoshio and Imura, Jun-ichi and Yamakita, Masaki}}, isbn = {{9781713872344}}, keywords = {{Bayesian methods; Biomedical system modeling; Control in neuroscience; excitation design; Input; Parameter and state estimation; simulation and visualization}}, language = {{eng}}, pages = {{470--475}}, publisher = {{Elsevier}}, title = {{Real-time Bayesian control of reactive brain computer interfaces}}, url = {{https://lup.lub.lu.se/search/files/172868954/tufvesson.pdf}}, doi = {{10.1016/j.ifacol.2023.10.1612}}, volume = {{56}}, year = {{2023}}, }