Exploring Markers of Brain-Computer Interface Performance in Children
prism.ucalgary.ca · 9,440 words · saved by 1 readers
N/A
UNIVERSITY OF CALGARY Exploring Markers of Brain-Computer Interface Performance in Children by Vella Shin-Hyung Kim A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE GRADUATE PROGRAM IN NEUROSCIENCE CALGARY, ALBERTA MAY, 2024 © Vella Shin-Hyung Kim 2024…
saved by
related reading
- Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfacesfrontiersin.org
- Brain–computer interface - Wikipediaen.wikipedia.org
- Frontiers | Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfacesfrontiersin.org
- AI to Interpret Your Mindjonathanxu.com
- [2305.18274] Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priorsarxiv.org
- Volitional control of individual neurons in the human brainpmc.ncbi.nlm.nih.gov
- PROGRAMMEesa.int
- MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Datamedarc-ai.github.io
- 2310.16532.pdfarxiv.org
- 2306.16934.pdfarxiv.org
- Towards a “universal translator” for neural dynamics at single-cell, single-spike resolutionarxiv.org
- Brain–computer interface: trend, challenges, and threats - PMCncbi.nlm.nih.gov