Low-Cost Approaches in Neuroscience to Teach Machine Learning Using a Cockroach Modeldoi:10.48349/ASU/W2E1YEASU Library Research Data Repository2024-06-131Verpeut, Jessica; Truong, Vincent; Moore, John E.; Ricoy, Ulises M., 2024, "Low-Cost Approaches in Neuroscience to Teach Machine Learning Using a Cockroach Model", https://doi.org/10.48349/ASU/W2E1YE, ASU Library Research Data Repository, V1Low-Cost Approaches in Neuroscience to Teach Machine Learning Using a Cockroach ModelSLEAP: Low-cost neuroscience approachesdoi:10.48349/ASU/W2E1YEVerpeut, JessicaTruong, VincentMoore, John E.Ricoy, Ulises M.The O'Dell Lab at University of Texas El PasoO'Dell, LauraEsparza, DavidSOCIAL Neurobiology LabEl Paso, Texas, USAPythonASU Library Research Data RepositoryVerpeut, JessicaTruong, VincentVerpeut, Jessica2024-05-04Medicine, Health and Life SciencesMachine learningNeurosciencesTeachingDataset of manuscript, SLEAPing with cockroaches: low-cost approaches to teaching machine learning in neuroscience.2022-07-012022-07-20SLEAP program used to create prediction files <a href="https://sleap.ai/">https://sleap.ai/</a> <br> T.D. Pereira, N. Tabris, A. Matsliah, D. M. Turner, J. Li, S. Ravindranath, E. S. Papadoyannis, E. Normand, D. S. Deutsch, Z. Y. Wang, G. C. McKenzie-Smith, C. C. Mitelut, M. D. Castro, J. D’Uva, M. Kislin, D. H. Sanes, S. D. Kocher, S. S-H, A. L. Falkner, J. W. Shaevitz, and M. Murthy. Sleap: A deep learning system for multi-animal pose tracking. Nature Methods, 19(4), 2022centered_instance_best_model.h5application/x-h5centered_instance_training_config.jsonapplication/jsoncentroid_best_model.h5application/x-h5centroid_training_config.jsonapplication/jsonCockroach D2.slpSLEAP slp file used for training.application/octet-streamCockroach_skeleton.jsonSLEAP skeleton used for machine learning training.application/jsonD2_0_2.mp4Video file used for training.video/mp4README.txtREADME text file.text/plainRoach Data using SLEAP.xlsRaw data with all SLEAP X- Y- coordinates.application/vnd.ms-excel