Kinematic analysis of sensorimotor behavior during variable ladder rung walking in short-tailed opossums (Monodelphis domestica)
| Autor: | Samaan Faridjoo, Mackenzie Englund, Christopher S. Iyer, Leah Krubitzer |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Male
Science (General) Computer science Bioinformatics Pipeline (computing) Video Recording Walking Kinematics Machine learning computer.software_genre Monodelphis domestica General Biochemistry Genetics and Molecular Biology Task (project management) Machine Learning Q1-390 Computer-Assisted Model Organisms Animals Protocol (object-oriented programming) Behavior Signal processing Data collection General Immunology and Microbiology biology Animal business.industry General Neuroscience Computational Biology biology.organism_classification Biomechanical Phenomena Monodelphis Workflow Signal Processing Female Artificial intelligence business computer Neuroscience |
| Zdroj: | STAR Protocols, Vol 2, Iss 2, Pp 100421-(2021) STAR protocols, vol 2, iss 2 |
| ISSN: | 2666-1667 |
| Popis: | Summary This protocol presents a workflow for detecting differences in kinematics between experimental conditions. It is tailored for short-tailed opossums but can be applied to any species capable of completing the ladder rung task. There are four phases of this protocol: (1) data collection, (2) pose tracking, (3) analysis of single trials, and (4) cross-condition comparisons. This pipeline implements aspects of machine learning and signal processing, allowing for rapid data analysis that provides insight into how animals perform this task. For complete details on the use and execution of this protocol, please refer to Englund et al. (2020) . |
| Databáze: | OpenAIRE |
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