Machine learning methods for environmental-enrichment-related variations in behavioral responses of laboratory rats

• Autores: Miren Karmele Lopez de Ipiña Peña, Hodei Cepeda, Catalina Requejo Rodríguez, Elsa Fernández Le Mouël, Pilar María Calvo Salomon, José Vicente Lafuente Sánchez
• Localización: Understanding the Brain Function and Emotions: 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019 Almería, Spain, June 3–7, 2019 Proceedings, Part I / José Manuel Ferrández Vicente (dir. congr.), José Ramón Álvarez Sánchez (dir. congr.), Félix de la Paz López (dir. congr.), Francisco Javier Toledo Moreo (dir. congr.), Hojjat Adeli (dir. congr.), 2019, ISBN 978-3-030-19591-5, págs. 420-427
• Idioma: inglés
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• Resumen

  • Environmental enrichment (EE) paradigms are designed toenhance laboratory animals surroundings to encourage natural behaviors. Some enrichment paradigms also include a social component, based on the social interactions typical of the genus and species. Novel automatic methodologies based on image are becoming useful tools to improve laboratory works. This paper present a first approach to the automatic image analysis of laboratory rats in EE: behaviour, drug effects and pathology. The new methodology is based on image and Machine Learning paradigms and will become a useful tool for Neuroscience issues