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A deep learning framework for inference of single-trial neural population activity from calcium imaging with sub-frame temporal resolution
View ORCID ProfileFeng Zhu, Harrison A. Grier, Raghav Tandon, View ORCID ProfileChangjia Cai, View ORCID ProfileAndrea Giovannucci, View ORCID ProfileMatthew T. Kaufman, View ORCID ProfileChethan Pandarinath
doi: https://doi.org/10.1101/2021.11.21.469441
Feng Zhu
1Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, USA
2Neuroscience Graduate Program, Graduate Division of Biological and Biomedical Sciences, Emory University, Atlanta, GA, USA
Harrison A. Grier
3Committee on Computational Neuroscience, The University of Chicago, Chicago, IL, USA
Raghav Tandon
1Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, USA
Changjia Cai
4Joint Biomedical Engineering Department University of North Carolina at Chapel Hill and North Carolina State University. Chapel Hill, NC, USA
Andrea Giovannucci
4Joint Biomedical Engineering Department University of North Carolina at Chapel Hill and North Carolina State University. Chapel Hill, NC, USA
5Neuroscience Center, University of North Carolina at Chapel Hill. Chapel Hill, NC, USA
6Closed-Loop Engineering for Advanced Rehabilitation (CLEAR). North Carolina State University. Raleigh, NC. USA
Matthew T. Kaufman
7Department of Organismal Biology and Anatomy, The University of Chicago, Chicago, IL, USA
8Neuroscience Institute, The University of Chicago, Chicago, IL, USA
Chethan Pandarinath
1Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, USA
9Department of Neurosurgery, Emory University, Atlanta, GA, USA
10Center for Machine Learning, Georgia Institute of Technology, Atlanta, GA, USA
Posted January 25, 2022.
A deep learning framework for inference of single-trial neural population activity from calcium imaging with sub-frame temporal resolution
Feng Zhu, Harrison A. Grier, Raghav Tandon, Changjia Cai, Andrea Giovannucci, Matthew T. Kaufman, Chethan Pandarinath
bioRxiv 2021.11.21.469441; doi: https://doi.org/10.1101/2021.11.21.469441
A deep learning framework for inference of single-trial neural population activity from calcium imaging with sub-frame temporal resolution
Feng Zhu, Harrison A. Grier, Raghav Tandon, Changjia Cai, Andrea Giovannucci, Matthew T. Kaufman, Chethan Pandarinath
bioRxiv 2021.11.21.469441; doi: https://doi.org/10.1101/2021.11.21.469441
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