Tanmay Nath, Alexander Mathis, An Chi Chen, Amir Patel, Matthias Bethge, Mackenzie Weygandt Mathis. Nat Protoc 2019
Times Cited: 203
Times Cited: 203
Times Cited
Times Co-cited
Similarity
DeepLabCut: markerless pose estimation of user-defined body parts with deep learning.
Alexander Mathis, Pranav Mamidanna, Kevin M Cury, Taiga Abe, Venkatesh N Murthy, Mackenzie Weygandt Mathis, Matthias Bethge. Nat Neurosci 2018
Alexander Mathis, Pranav Mamidanna, Kevin M Cury, Taiga Abe, Venkatesh N Murthy, Mackenzie Weygandt Mathis, Matthias Bethge. Nat Neurosci 2018
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DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning.
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Mapping Sub-Second Structure in Mouse Behavior.
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Fast animal pose estimation using deep neural networks.
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DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila.
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The Striatum Organizes 3D Behavior via Moment-to-Moment Action Selection.
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Computational Neuroethology: A Call to Action.
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Automated markerless pose estimation in freely moving macaques with OpenMonkeyStudio.
Praneet C Bala, Benjamin R Eisenreich, Seng Bum Michael Yoo, Benjamin Y Hayden, Hyun Soo Park, Jan Zimmermann. Nat Commun 2020
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Mapping the stereotyped behaviour of freely moving fruit flies.
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Spontaneous behaviors drive multidimensional, brainwide activity.
Carsen Stringer, Marius Pachitariu, Nicholas Steinmetz, Charu Bai Reddy, Matteo Carandini, Kenneth D Harris. Science 2019
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Deep learning tools for the measurement of animal behavior in neuroscience.
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Real-time analysis of the behaviour of groups of mice via a depth-sensing camera and machine learning.
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Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning.
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Real-time, low-latency closed-loop feedback using markerless posture tracking.
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Single-trial neural dynamics are dominated by richly varied movements.
Simon Musall, Matthew T Kaufman, Ashley L Juavinett, Steven Gluf, Anne K Churchland. Nat Neurosci 2019
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Facial expressions of emotion states and their neuronal correlates in mice.
Nate Dolensek, Daniel A Gehrlach, Alexandra S Klein, Nadine Gogolla. Science 2020
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Revealing the structure of pharmacobehavioral space through motion sequencing.
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Probabilistic Models of Larval Zebrafish Behavior Reveal Structure on Many Scales.
Robert Evan Johnson, Scott Linderman, Thomas Panier, Caroline Lei Wee, Erin Song, Kristian Joseph Herrera, Andrew Miller, Florian Engert. Curr Biol 2020
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Big behavior: challenges and opportunities in a new era of deep behavior profiling.
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Modulation of visual responses by behavioral state in mouse visual cortex.
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Descending Command Neurons in the Brainstem that Halt Locomotion.
Julien Bouvier, Vittorio Caggiano, Roberto Leiras, Vanessa Caldeira, Carmelo Bellardita, Kira Balueva, Andrea Fuchs, Ole Kiehn. Cell 2015
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Automated image-based tracking and its application in ecology.
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EthoLoop: automated closed-loop neuroethology in naturalistic environments.
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A 3D-video-based computerized analysis of social and sexual interactions in rats.
Jumpei Matsumoto, Susumu Urakawa, Yusaku Takamura, Renato Malcher-Lopes, Etsuro Hori, Carlos Tomaz, Taketoshi Ono, Hisao Nishijo. PLoS One 2013
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idtracker.ai: tracking all individuals in small or large collectives of unmarked animals.
Francisco Romero-Ferrero, Mattia G Bergomi, Robert C Hinz, Francisco J H Heras, Gonzalo G de Polavieja. Nat Methods 2019
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Miniaturized integration of a fluorescence microscope.
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Jacob Reimer, Matthew J McGinley, Yang Liu, Charles Rodenkirch, Qi Wang, David A McCormick, Andreas S Tolias. Nat Commun 2016
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Neuroscience Needs Behavior: Correcting a Reductionist Bias.
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Real-Time Selective Markerless Tracking of Forepaws of Head Fixed Mice Using Deep Neural Networks.
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Quantitative evaluation of 3D mouse behaviors and motor function in the open-field after spinal cord injury using markerless motion tracking.
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Automated long-term tracking and social behavioural phenotyping of animal colonies within a semi-natural environment.
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Brainstem neurons that command mammalian locomotor asymmetries.
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Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.