Journal article
R. Goebel, R. V. Hoof, Salil Bhat, M. Lührs, M. Senden
Balkan Conference in Informatics, 2022
Balkan Conference in Informatics, 2022
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APA
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Goebel, R., Hoof, R. V., Bhat, S., Lührs, M., & Senden, M. (2022). Reading Imagined Letter Shapes from the Mind’s Eye Using Real-time 7 Tesla fMRI. Balkan Conference in Informatics.
Chicago/Turabian
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Goebel, R., R. V. Hoof, Salil Bhat, M. Lührs, and M. Senden. “Reading Imagined Letter Shapes from the Mind’s Eye Using Real-Time 7 Tesla FMRI.” Balkan Conference in Informatics (2022).
MLA
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Goebel, R., et al. “Reading Imagined Letter Shapes from the Mind’s Eye Using Real-Time 7 Tesla FMRI.” Balkan Conference in Informatics, 2022.
BibTeX Click to copy
@article{r2022a,
title = {Reading Imagined Letter Shapes from the Mind’s Eye Using Real-time 7 Tesla fMRI},
year = {2022},
journal = {Balkan Conference in Informatics},
author = {Goebel, R. and Hoof, R. V. and Bhat, Salil and Lührs, M. and Senden, M.}
}
Abstract
We present a 7 Tesla fMRI proof-of-concept study of the first letter speller BCI that decodes imagined letter shapes from activity patterns in early visual cortical areas. New tools are developed to enable real-time population receptive field retinotopic mapping for encoding and decoding. Using two different letter shapes (H and T), classification performance of generated activity patterns during imagery reaches 80% accuracy in each individual. Using a denoising autoencoder, recognizable letter shapes could be reconstructed and displayed as feedback to participants in the scanner.