Real-time Bayesian control of reactive brain computer interfaces
Tufvesson, Pex LU ; Gemborn Nilsson, Martin LU
; Soltesz, Kristian
LU
and Bernhardsson, Bo
LU
(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 B.V.
- 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
- 2024-02-27 09:37:04
@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 B.V.}},
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}},
}