Efficient Neural Decoder: Mixture-Regularized Bidirectional GRU with Attention-Reference-Cited by-同舟云学术

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Efficient Neural Decoder: Mixture-Regularized Bidirectional GRU with Attention

Published:2024-06-30 Issue: Volume:13 Page:1-7
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Zhang Xiaole¹,Zuo Jingchen²,Shao Xiecheng³

Affiliation:

1. University of Southern California,Department of Electrical and Computer Engineering,Los Angeles,USA

2. Carnegie Mellon University,Tepper School of Business,Pittsburgh,USA

3. University of Southern California,Department of Biomedical Engineering Department of Electrical and Computer Engineering,Los Angeles,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10651174.pdf?arnumber=10651174

Reference27 articles.

1. Long-Term Training with a Brain-Machine Interface-Based Gait Protocol Induces Partial Neurological Recovery in Paraplegic Patients

2. Tailoring brain–machine interface rehabilitation training based on neural reorganization: towards personalized treatment for stroke patients

3. Brain-computer interfaces: communication and restoration of movement in paralysis

4. Brain–machine interaction improves mobility

5. Brain–computer interfaces for communication and rehabilitation

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