Decoding of standard and non-standard visuomotor associations from parietal cortex-Reference-Cited by-同舟云学术

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Decoding of standard and non-standard visuomotor associations from parietal cortex

Published:2020-08-14 Issue:4 Volume:17 Page:046027
ISSN:1741-2552
Container-title:Journal of Neural Engineering
language:
Short-container-title:J. Neural Eng.

Author:

Filippini M^ORCID,Morris A P^ORCID,Breveglieri R^ORCID,Hadjidimitrakis K^ORCID,Fattori P^ORCID

Funder

National Health and Medical Reasearch Council, Australia

Fondazione Cassa di Risparmio in Bologna

Ministero dell’Università e della Ricerca, Italy

European Fund H2020-MSCA

Publisher

IOP Publishing

Subject

Cellular and Molecular Neuroscience,Biomedical Engineering

Link

https://iopscience.iop.org/article/10.1088/1741-2552/aba87e/pdf

Reference74 articles.

1. Reach and grasp by people with tetraplegia using a neurally controlled robotic arm

2. Decoding motor imagery from the posterior parietal cortex of a tetraplegic human

3. High-performance neuroprosthetic control by an individual with tetraplegia

4. Cortical control of a prosthetic arm for self-feeding

5. Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates

Cited by 6 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. Efficient in Vivo Neural Signal Compression Using an Autoencoder-Based Neural Network;IEEE Transactions on Biomedical Circuits and Systems;2024-06

2. Convolutional neural networks reveal properties of reach-to-grasp encoding in posterior parietal cortex;Computers in Biology and Medicine;2024-04

3. Motor decoding from the posterior parietal cortex using deep neural networks;Journal of Neural Engineering;2023-05-19

4. Robust Coding of Eye Position in Posterior Parietal Cortex despite Context-Dependent Tuning;The Journal of Neuroscience;2022-04-11

5. Using HMM to Model Neural Dynamics and Decode Useful Signals for Neuroprosthetic Control;Unsupervised and Semi-Supervised Learning;2022

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