Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders is a research paper published in PLoS Computational Biology (2021). On theSindex it has a DataRank of 0. It has been cited 37 times.
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Gatsby Charitable Foundation
Grant: GAT3708
National Science Foundation
Grant: DBI-1707398
National Institutes of Health
Grant: R21MH116348
National Institutes of Health
Grant: RF1MH120680
National Institutes of Health
Grant: T32NS064929
National Institutes of Health
Grant: T32MH015144
National Institutes of Health
Grant: U19NS107613
National Institutes of Health
Grant: UF1NS107696
Simons Foundation
Grant: 542963
Simons Foundation
Grant: 543023
Wellcome Trust
Grant: 209558
International Brain Laboratory
Wellcome Trust
Grant: 216324
International Brain Laboratory
Wellcome Trust
Grant: 209558/Z/17/Z
Wellcome Trust
Grant: unidentified
unidentified
National Institutes of Health
Grant: 1UF1NS107696-01
kHz-rate in vivo imaging of neural activity througout the living brain
National Institutes of Health
Grant: 5T32MH015144-46
Research Training in Mood and Anxiety Disorders: From Animal Models to Patients
National Institutes of Health
Grant: 5R21MH116348-02
The interactive roles of the amygdala and orbitofrontal cortex during reversal learning
National Institutes of Health
Grant: 5U19NS107613-03
Understanding V1 circuit dynamics and computations
National Institutes of Health
Grant: 1RF1MH120680-01
High-throughput Physiological Micro-connectivity Mapping in Vivo
National Science Foundation
Grant: 1707398
NeuroNex Theory Team: Columbia University Theoretical Neuroscience Center
National Institutes of Health
Grant: 5T32NS064929-07
Advanced Graduate Training Program in Theoretical Neuroscience
Deutsche Akademie der Naturforscher Leopoldina - Nationale Akademie der Wissenschaften
Helen Hay Whitney Foundation
International Brain Research Organization
McKnight Foundaton
FWCI
2.88
Citation Percentile
0.9%
Citation Trend
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