WaveSleepNet: An interpretable deep convolutional neural network for the continuous classification of mouse sleep and wake

Author:

Kam KoreyORCID,Rapoport David M.,Parekh Ankit,Ayappa Indu,Varga Andrew W.ORCID

Funder

NIH

Alzheimer's Association

Merck & Co Inc

Publisher

Elsevier BV

Subject

General Neuroscience

Reference62 articles.

1. Visualising convolutional neural network decisions in automatic sleep scoring;Andreotti;CEUR Workshop Proceedings. CEUR Workshop Proceedings,2018

2. A role for spindles in the onset of rapid eye movement sleep;Bandarabadi;Nat. Commun.,2020

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

4. SCOPRISM: a new algorithm for automatic sleep scoring in mice;Bastianini;J. Neurosci. Methods,2014

5. Expert-level sleep scoring with deep neural networks;Biswal;J. Am. Med. Inform. Assoc.,2018

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