Work

Reading Imagined Letter Shapes from the Mind’s Eye Using Real-time 7 Tesla fMRI

Year: 2022

Type: conference-paper

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.

Source: International Winter Conference on Brain-Computer Interface (BCI)

DOI: 10.1109/bci53720.2022.9735031

Authors: Rainer Goebel, Rick van Hoof, Salil Bhat, Michael Luhrs, Mario Senden

Institution: Maastricht University

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W4220804474

FWCI: 3.615

Cites: 5

Cited by: 10

Related to: 10