Machine Learning Methods for Environmental-Enrichment-Related Variations in Behavioral Responses of Laboratory Rats
Environmental enrichment (EE) paradigms are designed to enhance 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.
KeywordsEntropy Nonlinear analysis Image analysis Clustering Optical flow Pattern recognition Intelligent methods Environmental monitoring
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