Automated sleep state classification of wide-field calcium imaging data via multiplex visibility graphs and deep learning-Reference-Cited by-同舟云学术

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Automated sleep state classification of wide-field calcium imaging data via multiplex visibility graphs and deep learning

Published:2022-01 Issue: Volume:366 Page:109421
ISSN:0165-0270
Container-title:Journal of Neuroscience Methods
language:en
Short-container-title:Journal of Neuroscience Methods

Author:

Zhang Xiaohui,Landsness Eric C.,Chen Wei,Miao Hanyang,Tang Michelle,Brier Lindsey M.,Culver Joseph P.,Lee Jin-Moo,Anastasio Mark A.

Funder

National Institute of Neurological Disorders and Stroke

American Heart Association

Washington University in Saint Louis School of Medicine

American Academy of Sleep Medicine Foundation

National Institute on Aging

Publisher

Elsevier BV

Subject

General Neuroscience

Reference82 articles.

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2. Predicting lapses of attention with sleep-like slow waves;Andrillon;Nat. Commun.,2021

3. Longitudinal monitoring of mesoscopic cortical activity in a mouse model of microinfarcts reveals dissociations with behavioral and motor function;Balbi;J. Cereb. Blood Flow. Metab.,2019

4. Robust, automated sleep scoring by a compact neural network with distributional shift correction;Barger;PLoS One,2019

5. Neural and Behavioral Correlates of Extended Training during Sleep Deprivation in Humans: Evidence for Local, Task-Specific Effects;Bernardi;J. Neurosci.,2015

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1. Attention-based CNN-BiLSTM for sleep state classification of spatiotemporal wide-field calcium imaging data;Journal of Neuroscience Methods;2024-11

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4. Gershgorin circle theorem-based feature extraction for biomedical signal analysis;Frontiers in Neuroinformatics;2024-05-16

5. ENHANCED CHAMELEON SWARM OPTIMIZATION-BASED ENSEMBLE LEARNING APPROACH FOR SLEEP STAGE CLASSIFICATION FRAMEWORK;Journal of Mechanics in Medicine and Biology;2024-03-15

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