Journal of Samara State Technical University, Ser. Physical and Mathematical SciencesJournal of Samara State Technical University, Ser. Physical and Mathematical Sciences1991-86152310-7081Samara State Technical University20817Research ArticleArtificial neural network with modulation of synaptic coefficientsNazarovMaxim NAssistant, Dept. of Higher Mathematics – 1.Nazarov-Maximilian@yandex.ruNational Research University of Electronic Technology15062013172587118022020Copyright © 2013, Samara State Technical University2013The model of neural network based on artificial neuron with dynamic synaptic weights was constructed. As main model processes for changing the synaptic weights were chosen: weakening of a synaptic weight in the absence of synapse stimulation, and modulation of synapse with synchronous irritation of some other synaptic junction.artificial neuron with synaptic plasticityискусственный нейрон c динамическими связями[Голубев Ю. Ф. Нейронные сети в мехатронике // Фундамент. и прикл. Матем., 2005. Т. 11, № 8. С. 81–103.][Wasserman P. D. Neural Computing, theory and practice. New York: Van Nostrand Reinhold, 1989.][Kohonen T. Self-Organizing Maps. Third extended edition / Springer Series in Information Sciences. Vol. 30. Berlin: Springer-Verlag, 2001. xx+501 pp.][Hodgkin A. L., Huxley A. F. A quantitative description of membrane current and its application to conduction and excitation in nerve // J. Physiol., 1952. no. 4. Pp. 500–544.][Майоров В. В., Мышкин И. Ю. Математическое моделирование нейронной сети на основе уравнений с запаздыванием // Матем. моделирование, 1990. Т. 2, № 11. С. 64–76.][Дунаева О. А. Принципы построения слоистых нейронных сетей на основе импульсных нейронов // Модел. и анализ информ. систем., 2011. Т. 18, № 2. С. 65–76.][Коновалов Е. В. Задача адаптации обобщенного нейронного элемента // Модел. и анализ информ. систем., 2012. Т. 19, № 1. С. 69–83.][Han J.-H., Kushner S. A., Yiu A. P., Cole C. J., Matynia A., Brown R. A., Neve R. A., Guzowski J. F., Silva A. J., Josselyn S. A. Neuronal Competition and Selection During Memory Formation // Science, 2007. Vol. 316, no. 5823. Pp. 457–460.][Antonov I., Antonova I., Kandel E. R., Hawkinssend R. D. Activity-Dependent Presynaptic Facilitation and Hebbian LTP Are Both Required and Interact during Classical Conditioning in Aplysia // Neuron, 2003. Vol. 37, no. 1. Pp. 135–147.]