Rapid detection and recognition of whole brain activity in a freely behaving Caenorhabditis elegans

Advanced volumetric imaging methods and genetically encoded activity indicators have permitted a comprehensive characterization of whole brain activity at single neuron resolution in Caenorhabditis elegans . The constant motion and deformation of the nematode nervous system, however, impose a great...

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Veröffentlicht in:	PLoS computational biology 2022-10, Vol.18 (10), p.e1010594-e1010594
Hauptverfasser:	Wu, Yuxiang, Wu, Shang, Wang, Xin, Lang, Chengtian, Zhang, Quanshi, Wen, Quan, Xu, Tianqi
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Analysis Animals Artificial neural networks Biology and Life Sciences Brain Caenorhabditis elegans Computer and Information Sciences Deep learning Density distribution Fluorescence Genetic code Machine learning Methods Nematodes Nervous system Neural networks Neuroimaging Neurons Physical Sciences Physiological aspects Recognition Regions Registration Research and Analysis Methods Worms
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