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

  1. Karmele López-de-Ipiña
  2. Hodei Cepeda
  3. Catalina Requejo
  4. Elsa Fernandez
  5. Pilar Maria Calvo
  6. Jose Vicente Lafuente
Libro:
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
  1. José Manuel Ferrández Vicente (dir. congr.)
  2. José Ramón Álvarez-Sánchez (dir. congr.)
  3. Félix de la Paz López (dir. congr.)
  4. Javier Toledo Moreo (dir. congr.)
  5. Hojjat Adeli (dir. congr.)

Editorial: Springer Suiza

ISBN: 978-3-030-19591-5

Año de publicación: 2019

Páginas: 420-427

Tipo: Capítulo de Libro

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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

Fuente de los datos: Dialnet