Cargando…
Deep learning-based behavioral analysis reaches human accuracy and is capable of outperforming commercial solutions
To study brain function, preclinical research heavily relies on animal monitoring and the subsequent analyses of behavior. Commercial platforms have enabled semi high-throughput behavioral analyses by automating animal tracking, yet they poorly recognize ethologically relevant behaviors and lack the...
Autores principales: | Sturman, Oliver, von Ziegler, Lukas, Schläppi, Christa, Akyol, Furkan, Privitera, Mattia, Slominski, Daria, Grimm, Christina, Thieren, Laetitia, Zerbi, Valerio, Grewe, Benjamin, Bohacek, Johannes |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7608249/ https://www.ncbi.nlm.nih.gov/pubmed/32711402 http://dx.doi.org/10.1038/s41386-020-0776-y |
Ejemplares similares
-
Neuromodulation of striatal D1 cells shapes BOLD fluctuations in anatomically connected thalamic and cortical regions
por: Markicevic, Marija, et al.
Publicado: (2023) -
Big behavior: challenges and opportunities in a new era of deep behavior profiling
por: von Ziegler, Lukas, et al.
Publicado: (2020) -
Chronic adolescent stress increases exploratory behavior but does not appear to change the acute stress response in adult male C57BL/6 mice
por: Sturman, Oliver, et al.
Publicado: (2021) -
Dissecting stress with transcriptomics
por: Privitera, Mattia, et al.
Publicado: (2017) -
Deep-learning based identification, tracking, pose estimation, and behavior classification of interacting primates and mice in complex environments
por: Marks, Markus, et al.
Publicado: (2022)