Seizure Prediction in Genetic Rat Models of Absence Epilepsy: Improved Performance through Multiple-Site Cortico-Thalamic Recordings Combined with Machine Learning-Reference-Cited by-同舟云学术

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Seizure Prediction in Genetic Rat Models of Absence Epilepsy: Improved Performance through Multiple-Site Cortico-Thalamic Recordings Combined with Machine Learning

Published:2021-11-15 Issue:1 Volume:9 Page:ENEURO.0160-21.2021
ISSN:2373-2822
Container-title:eneuro
language:en
Short-container-title:eNeuro

Author:

Budde Björn,Maksimenko Vladimir,Sarink Kelvin,Seidenbecher Thomas,van Luijtelaar Gilles,Hahn Tim,Pape Hans-Christian,Lüttjohann Annika

Publisher

Society for Neuroscience

Subject

General Medicine,General Neuroscience

Cited by 5 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. Detection of seizure onset in childhood absence epilepsy;Clinical Neurophysiology;2024-07

2. Preictal dysfunctions of inhibitory interneurons paradoxically lead to their rebound hyperactivity and to low-voltage-fast onset seizures in Dravet syndrome;Proceedings of the National Academy of Sciences;2024-05-29

3. Training Datasets for Epilepsy Analysis: Preprocessing and Feature Extraction from Electroencephalography Time Series;Data;2024-04-26

4. Memristive Neural Networks for Predicting Seizure Activity;Sovremennye tehnologii v medicine;2023-08-30

5. Machine learning and statistic analysis to predict drug treatment outcome in pediatric epilepsy patients with tuberous sclerosis complex;Epilepsy Research;2022-12

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