Using Dynamic Bayesian Networks for modeling EEG topographic sequences-Reference-Cited by-同舟云学术

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Using Dynamic Bayesian Networks for modeling EEG topographic sequences

Published:2014-08 Issue: Volume: Page:
ISSN:
Container-title:2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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Author:

Michalopoulos Kostas,Bourbakis Nikolaos

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6923026/6943513/06944729.pdf?arnumber=6944729

Cited by 4 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. Tractable Maximum Likelihood Estimation for Latent Structure Influence Models With Applications to EEG & ECoG Processing;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023-08

2. Neural Networks to Recognize Patterns in Topographic Images of Cortical Electrical Activity of Patients with Neurological Diseases;Brain Topography;2022-05-21

3. A primer on coupled state-switching models for multiple interacting time series;Statistical Modelling;2020-10-21

4. Combining EEG Microstates with fMRI Structural Features for Modeling Brain Activity;International Journal of Neural Systems;2015-11-20

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