deeplabcut rat
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BehaviorDEPOT: a tool for automated behavior classification and
21.09.2021 classifier on the rat (Figure 7F) and mouse (Figure 7G) videos we ... trained DeepLabCut models. The video and pose estimates are the ... |
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Multisensory coding of angular head velocity in the retrosplenial cortex
16.11.2021 Neurons were classified as head direction tuned if (1) the distri- bution of their firing rate as a function of head direction was sta-. |
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LabGym: Quantification of user-defined animal behaviors using
24.02.2023 DeepLabCut + B-SOiD. Y.H. C.R.F. |
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BehaviorDEPOT is a simple flexible tool for automated behavioral
23.08.2022 (B12) DLC tracking in rat and mouse freezing in videos obtained from other laboratories. ... We trained models in DeepLabCut for 1–1.65 million ... |
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Measuring Locomotor Activity and Behavioral Aspects of Rodents
07.04.2022 Multi-animal pose estimation and tracking with DeepLabCut. bioRxiv doi ... various specific rat behaviours. J. Neurosci. Methods 218 214–224 ... |
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Using DeepLabCut as a Real-Time and Markerless Tool for Cardiac
21.08.2022 Several cardiac parameters such as heart rate |
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Using DeepLabCut for 3D markerless pose estimation across
24.11.2018 [18] Matsumoto J. et al. A 3D-video-based computerized analysis of social and sexual interactions in rats. PLoS ONE 8 |
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Tracking a rat in an open field experiment with a deep learning
09.11.2021 The purpose of this thesis is to test the state-of- the-art method of animal tracking DeepLabCut and to develop a usable model for tracking rats ... |
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DeepLabCut Analysis of Social Novelty Preference
15.08.2019 In the first male rats were given social novelty preference tests in which the behavior of the test rat was quantified by either a trained ... |
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Convolutional Neural Network Analysis of Social Novelty Preference
16.08.2019 DeepLabCut was applied to 2 experiments. In the first male rats were given social novelty preference tests in which the behavior of the test ... |
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DeepLabCut Analysis of Social Novelty Preference
15 ???. 2019 ?. In the first male rats were given social novelty preference tests in which the behavior of the test rat was quantified by either a trained ... |
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Convolutional Neural Network Analysis of Social Novelty Preference
16 ???. 2019 ?. DeepLabCut was applied to 2 experiments. In the first male rats were given social novelty preference tests in which the behavior of the test ... |
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DeepLabCut: markerless pose estimation of user-defined body parts
8 ???. 2018 ?. Overall given the robustness and the low error rate of. DeepLabCut even with small training sets |
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Tracking a rat in an open field experiment with a deep learning
9 ????. 2021 ?. neural networks DeepLabCut |
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Deep learning based behavioral analysis enables high precision
21 ???. 2020 ?. integrate the tracking data from DeepLabCut with post analysis ... Time floating in the FST was determined by analysing the rate of change ... |
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Using DeepLabCut for 3D markerless pose estimation across
24 ????. 2018 ?. Pose estimation with DeepLabCut Six examples with automatically applied ... computerized analysis of social and sexual interactions in rats. |
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DeepLabCut increases markerless tracking efficiency in X-ray video
ABSTRACT. Despite the prevalence of rat models to study human disease and injury existing methods for quantifying behavior through skeletal. |
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Using Machine Learning to Conduct a Detailed Behavioral Analysis
observer rat multiple new observation trials allowing for more power in the experiment. This Incorporating DeepLabCut into an observational learning. |
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Tracking Highly Similar Rat Instances under Heavy Occlusions: An
13 ???. 2022 ?. focus on data where mice/rats are very similar without any markers but ... Diverse approaches [12–14] are based on a module of DeepLabCut ... |
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DeepLabCut: markerless pose estimation of user-defined body parts
8 ???. 2018 ?. Overall given the robustness and the low error rate of. DeepLabCut even with small training sets |
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DeepLabCut Analysis of Social Novelty Preference - bioRxiv
15 août 2019 · DeepLabCut was applied to 2 experiments In the first, male rats were given social novelty preference tests in which the behavior of the test rat |
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Using DeepLabCut for 3D markerless pose - Mackenzie Mathis
Our toolbox, DeepLabCut12, provides tools for creating annotated training sets, learning rates and number of training iterations to perform at the specified rate |
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DeepLabCut - Nature
8 avr 2018 · Supplementary Fig 2b) Overall, given the robustness and the low error rate of DeepLabCut even with small training sets, we found this to be a |
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Analysis of Mouse Whisker Movement Synchronicity - DiVA
10 mar 2020 · DeepLabCut is a promising method to speed up whisker tracking Future im- because whiskers were least blurred wit this frame rate |
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Real-time, low-latency closed-loop feedback using - eLife
8 déc 2020 · DeepLabCut-Live package that achieves low-latency real-time pose However, if pose estimation is slower than the frame rate, which |
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Report - CS230 Deep Learning - Stanford University
Learning rate comparison for Faster R-CNN Learning rate of 0 0005 resulted in the lowest RMSE 0 03 - DeepLabCut (ResNet101) Training |
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Integrating XMALab and DeepLabCut for high-throughput XROMM
14 juil 2020 · Keywords: XMALab, DeepLabCut, XROMM, marker tracking, deep learning Summary of skilled reaching movement in rat J Neurosci |
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A Primer on Motion Capture with Deep Learning - Cell Press
14 oct 2020 · convergence rate of optimization algorithm (i e , how many steps of gradient mands DeepLabCut (an open source toolbox for markerless |
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