Robust Brain-Machine Interface Design Using Optimal Feedback Control Modeling and Adaptive Point Process Filtering-Reference-Cited by-同舟云学术

Robust Brain-Machine Interface Design Using Optimal Feedback Control Modeling and Adaptive Point Process Filtering

Published:2016-04-01 Issue:4 Volume:12 Page:e1004730
ISSN:1553-7358
Container-title:PLOS Computational Biology
language:en
Short-container-title:PLoS Comput Biol

Author:

Shanechi Maryam M.,Orsborn Amy L.,Carmena Jose M.

Publisher

Public Library of Science (PLoS)

Subject

Computational Theory and Mathematics,Cellular and Molecular Neuroscience,Genetics,Molecular Biology,Ecology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics

Reference54 articles.

1. Actions from thoughts;MAL Nicolelis;Nature Neuroscience,2001

2. Connecting cortex to machines: recent advances in brain interfaces;JP Donoghue;Nature Neuroscience,2002

3. Cortical neural prosthetics;AB Schwartz;Annual Review of Neuroscience,2004

4. Advances in Neuroprosthetic Learning and Control;JM Carmena;PLoS Biol,2013

5. Brain-machine interfaces: an overview;M Lebedev;Translational Neuroscience,2014

Cited by 86 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. Predicting and Shaping Human-Machine Interactions in Closed-loop, Co-adaptive Neural Interfaces;2024-05-26

2. Event detection and classification from multimodal time series with application to neural data;Journal of Neural Engineering;2024-04-01

3. Calibrating Bayesian decoders of neural spiking activity;The Journal of Neuroscience;2024-03-27

4. Modeling and dissociation of intrinsic and input-driven neural population dynamics underlying behavior;Proceedings of the National Academy of Sciences;2024-02-09

5. Event Detection and Classification from Multimodal Time Series with Application to Neural Data;2023-12-20