V.V. Andrianov - Ph. D. (Biol.), Senior Research Scientist, Kazan Federal University, Kazan E.K. Zavoisky Physical-Technical Institute (Kazan). E-mail: slava_snail@yahoo.com Kh.L. Gainutdinov - Ph. D. (Biol.), Senior Research Scientist, Kazan Federal University,. Kazan E.K. Zavoisky Physical-Technical Institute. E-mail: kh_gainutdinov@mail.ru

The model of a neural network, providing defensive behavior of snail, based on spiking formal neurons, is presented. Neural network model corresponds to the data of structure and functioning of the nervous system responsible for defensive behavior [1]. The model consists of a minimum number of formal elements that imitate a neuronal groups with similar attributes. The mathematical model is based on standard concept of formal neurons [2]. The plasticity of the neural network is implemented on the basis of correlation of Hebb synapses [2], which are most similar to biological nervous system. These models provide a plausible organic and parallel process operation and learning network in real time. The neuron model is closest to the threshold generator with leakage (LIF-neuron) [3]. Analysis of the model shows good agreement between the principal features of behavioral plasticity of animal and of model (within its limitations). This behavioral phenomena - a conditioned reflex and its extinction, habituation, and sensitization of defensive behavior. Thus, the main characteristics of plasticity of snails - defensive behavior are well described by a model consisting of a small number of formal neurons with spike activity and Hebb synapses. This work was financially supported by RFBR in grants № 15-04-05487.

 

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