Attention-based CNN-BiLSTM for sleep state classification of spatiotemporal wide-field calcium imaging data.

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Bibliographic Details
Title: Attention-based CNN-BiLSTM for sleep state classification of spatiotemporal wide-field calcium imaging data.
Authors: Zhang X; Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA., Landsness EC; Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA., Miao H; Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA., Chen W; Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA., Tang MJ; Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA., Brier LM; Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA., Culver JP; Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Biomedical Engineering, Washington University School of Engineering, St. Louis, MO 63130, USA; Department of Electrical and Systems Engineering, Washington University School of Engineering, St. Louis, MO 63130, USA; Department of Physics, Washington University School of Arts and Science, St. Louis, Mo 63130, USA., Lee JM; Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Biomedical Engineering, Washington University School of Engineering, St. Louis, MO 63130, USA., Anastasio MA; Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA. Electronic address: maa@illinois.edu.
Source: Journal of neuroscience methods [J Neurosci Methods] 2024 Nov; Vol. 411, pp. 110250. Date of Electronic Publication: 2024 Aug 14.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Netherlands NLM ID: 7905558 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-678X (Electronic) Linking ISSN: 01650270 NLM ISO Abbreviation: J Neurosci Methods Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1872-678X
DOI:10.1016/j.jneumeth.2024.110250