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

Authors

Xiaohui Zhang, University of Illinois at Urbana-Champaign
Eric C Landsness, Washington University School of Medicine in St. Louis
Hanyang Miao, Washington University School of Medicine in St. Louis
Wei Chen, The Johns Hopkins University
Michelle J Tang, Washington University School of Medicine in St. Louis
Lindsey M Brier, Washington University School of Medicine in St. Louis
Joseph P Culver, Washington University School of Medicine in St. Louis
Jin-Moo Lee, Washington University School of Medicine in St. Louis
Mark A Anastasio, University of Illinois at Urbana-Champaign

Journal

Journal of Neuroscience Methods

Publication Date

11-1-2024

Volume

411

First Page

110250

Document Type

Open Access Publication

DOI

10.1016/j.jneumeth.2024.110250

Rights and Permissions

Zhang X, Landsness EC, Miao H, Chen W, Tang MJ, Brier LM, Culver JP, Lee JM, Anastasio MA. Attention-based CNN-BiLSTM for sleep state classification of spatiotemporal wide-field calcium imaging data. J Neurosci Methods. 2024 Nov;411:110250. doi: 10.1016/j.jneumeth.2024.110250. © 2024 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/bync/4.0/).

Recommended Citation

Zhang, Xiaohui; Landsness, Eric C; Miao, Hanyang; Chen, Wei; Tang, Michelle J; Brier, Lindsey M; Culver, Joseph P; Lee, Jin-Moo; and Anastasio, Mark A, "Attention-based CNN-BiLSTM for sleep state classification of spatiotemporal wide-field calcium imaging data." Journal of Neuroscience Methods. 411, 110250 (2024).
https://digitalcommons.wustl.edu/oa_4/5315

Department

ICTS (Institute of Clinical and Translational Sciences)

Additional Links

Supplemental material is available for this article at publisher site.