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| http://dx.doi.org/10.1186/s44158-021-00027-2 | DOI Listing |
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Neural circuits underlying context-dependent competition between defensive actions in Drosophila larvae.
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Université Paris-Saclay, CNRS, Institut des neurosciences Paris-Saclay, 91400, Saclay, France.
To ensure their survival, animals must be able to respond adaptively to threats within their environment. However, the precise neural circuit mechanisms that underlie flexible defensive behaviors remain poorly understood. Using neuronal manipulations, machine learning-based behavioral detection, electron microscopy (EM) connectomics and calcium imaging in Drosophila larvae, we map second-order interneurons that are differentially involved in the competition between defensive actions in response to competing aversive cues.
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View Article and Find Full Text PDFInstance shadow detection, crucial for applications such as photo editing and light direction estimation, has undergone significant advancements in predicting shadow instances, object instances, and their associations. The extension of this task to videos presents challenges in annotating diverse video data and addressing complexities arising from occlusion and temporary disappearances within associations. In response to these challenges, we introduce ViShadow, a semi-supervised video instance shadow detection framework that leverages both labeled image data and unlabeled video data for training.
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