Effects of EEG Electrode Numbers on Deep Learning-Based Source Imaging

Abstract

This paper investigates the effects of EEG electrode numbers on deep learning-based source imaging. It examines how electrode density impacts the accuracy and reliability of neural source localization using spatiotemporal deep learning frameworks.

Citation

Jesse Rong, Rui Sun, Yuxin Guo, Bin He. “Effects of EEG Electrode Numbers on Deep Learning-Based Source Imaging”, Brain Informatics, 2023.

@article{RSGH23,
author = {Jesse Rong and Rui Sun and Yuxin Guo and B. He},
year = {2023},
title = {Effects of EEG Electrode Numbers on Deep Learning-Based Source Imaging},
journal = {Brain Informatics}}