Data sets for deep learning analysis of natural and pharmacologically-modulated animal behavior.
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Replication Data for object detection: The convolutional neural network model detected lasting behavioral changes in mice with kanamycin-induced unilateral inner ear dysfunction
Apr 30, 2024
Koshimizu, Taka-aki, 2023, "Replication Data for object detection: The convolutional neural network model detected lasting behavioral changes in mice with kanamycin-induced unilateral inner ear dysfunction", https://doi.org/10.7910/DVN/VNCTMR, Harvard Dataverse, V2
Data is to train object detection model. A mouse with or without inner ear injury was detected by deep learning model as an object. This data contains (1) yml file to establish conda enviroment, (2) images and xml files to train the model, (3) training material to establish classification model to evaluate detection box placement, (4) detection res...
Replication Data and code for Figure 6, 7, and 8: The convolutional neural network model detected lasting behavioral changes in mice with kanamycin-induced unilateral inner ear dysfunction
Apr 29, 2024
Koshimizu, Taka-aki, 2024, "Replication Data and code for Figure 6, 7, and 8: The convolutional neural network model detected lasting behavioral changes in mice with kanamycin-induced unilateral inner ear dysfunction", https://doi.org/10.7910/DVN/RVV1EM, Harvard Dataverse, V1, UNF:6:DdVtY/cWYfEr2o0RNb+k6Q== [fileUNF]
Mouse movements were analyzed by original R codes. Data and codes to reproduce Figures were provided. These codes correspond to Figure 6, 7, and 8 of revised manuscript submitted to Heliyon and Figure 5, 6, and 7 of bioRxiv draft manuscript.
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