Abstract
Unsupervised cluster analysis is proposed for the study of active avoidance formation in three groups of albino rats: (a) Intact; (b) neocortex and (c) dorsal hippocampus lesioned. The term ‘behavior vector’ has been introduced to quantitatively assess the behavior of rats while learning. The proposed approach enables the assessment of active avoidance behavior in rats simultaneously by all the tested parameters and the classification of animals classify the animals into groups by their behavioral resemblance through the learning process.
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Tavdishvili, O., Archvadze, N., Tsagareli, S., Stamateli, A., Gvajaia, M. (2010). The Study of Rats’ Active Avoidance Behavior by the Cluster Analysis. In: Li, K., Jia, L., Sun, X., Fei, M., Irwin, G.W. (eds) Life System Modeling and Intelligent Computing. ICSEE LSMS 2010 2010. Lecture Notes in Computer Science(), vol 6330. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15615-1_22
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DOI: https://doi.org/10.1007/978-3-642-15615-1_22
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