Author(s)

Sulkhan N. Tsagareli¹, Nino G. Archvadze¹, Otar Tavdishvili², Marika Gvajaia¹

¹Biology Department, Faculty of Exact and Natural Scinces, Iv. Javakhishvili Tbilisi State University, Tbilisi, Georgia.
²Department of Applied Systems for Pattern Recognition, Institute of Cybernetics, Georgian Technical University, Tbilisi, Georgia.

The original modified method of the direct delayed reaction has been used for the evaluation of food-obtaining strategy across spatial learning tasks in T-maze alternation. The optimal behavioral algorithms for each experimental day have been identified so that the animals obtain maximum possible food amount with minimal number of mistakes. Markov chain method has been used for the prognosis of rat’s behavioral strategy during the spatial learning task. The learning and decision-making represent the probabilistic transition process where the animal choice at each step (state) depends on the learning experience from previous step (state).

Delayed Reactions, Behavioral Algorithm, Markov Chain

Tsagareli, S. , Archvadze, N. , Tavdishvili, O. and Gvajaia, M. (2016) The Prognosis of Delayed Reactions in Rats Using Markov Chains Method. Journal of Behavioral and Brain Science, 6, 19-27. doi: 10.4236/jbbs.2016.61003.