Identification of cerebral cortices processing acceleration, velocity, and position during directional reaching movement with deep neural network and explainable AI-Reference-Cited by-同舟云学术

Identification of cerebral cortices processing acceleration, velocity, and position during directional reaching movement with deep neural network and explainable AI

Published:2023-02 Issue: Volume:266 Page:119783
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Kim HongJune^ORCID,Kim June Sic^ORCID,Chung Chun Kee

Funder

Electronics and Telecommunications Research Institute

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference69 articles.

1. Tensorflow: A system for large-scale machine learning;Abadi,2016

2. Ancona, M., Ceolini, E., Öztireli, C., Gross, M., 2017. Towards better understanding of gradient-based attribution methods for deep neural networks. arXiv preprint arXiv:1711.06104.

3. Eye position effects on visual, memory, and saccade-related activity in areas LIP and 7a of macaque;Andersen;J. Neurosci.,1990

4. Movement parameters and neural activity in motor cortex and area 5;Ashe;Cereb. Cortex,1994

5. Neuromagnetic decoding of simultaneous bilateral hand movements for multidimensional brain–machine interfaces;Belkacem;IEEE Trans. Neural Syst. Rehabil. Eng.,2018

Cited by 3 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. A magnetoencephalography dataset during three-dimensional reaching movements for brain-computer interfaces;Scientific Data;2023-08-22

2. On-line Learning, Classification and Interpretation of Brain Signals using 3D SNN and ESN;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

3. Magnetoencephalogram-based brain–computer interface for hand-gesture decoding using deep learning;Cerebral Cortex;2023-05-13