Real-Time Deep Neurolinguistic Learning Enhances Noninvasive Neural Language Decoding for Brain–Machine Interaction-Reference-Cited by-同舟云学术

Real-Time Deep Neurolinguistic Learning Enhances Noninvasive Neural Language Decoding for Brain–Machine Interaction

Published:2022 Issue: Volume: Page:1-14
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Jeong Ji-Hoon¹^ORCID,Cho Jeong-Hyun²^ORCID,Lee Byeong-Hoo²^ORCID,Lee Seong-Whan³^ORCID

Affiliation:

1. School of Computer Science, Chungbuk National University, Cheongju, South Korea

2. Department of Brain and Cognitive Engineering, Korea University, Seoul, South Korea

3. Department of Artificial Intelligence, Korea University, Seoul, South Korea

Funder

Korean Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221036/6352949/09920692.pdf?arnumber=9920692

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advances in brain-computer interface for decoding speech imagery from EEG signals: a systematic review;Cognitive Neurodynamics;2024-09-04

2. MOCNN: A Multiscale Deep Convolutional Neural Network for ERP-Based Brain-Computer Interfaces;IEEE Transactions on Cybernetics;2024-09

3. Learning and Controlling Multiscale Dynamics in Spiking Neural Networks Using Recursive Least Square Modifications;IEEE Transactions on Cybernetics;2024-08

4. Predicting Flight-Driving Attitudes through EEG-Based Models;International Journal of Pattern Recognition and Artificial Intelligence;2024-06-29

5. Generative Active Learning with Variational Autoencoder for Radiology Data Generation in Veterinary Medicine;2024 IEEE Conference on Artificial Intelligence (CAI);2024-06-25