title: ÐÐ°ÑÐµÐ¼Ð°ÑÐ¸ÑÐµÑÐºÐ°Ñ Ð¼Ð¾Ð´ÐµÐ»Ñ Ð²Ð»Ð¸ÑÐ½Ð¸Ñ ÑÐ»ÐµÐºÑÑÐ¾Ð´Ð¸ÑÑÑÐ·Ð¸Ð¸ Ð½Ð° Ð¿Ð¾ÑÑÑÐ¸Ð½Ð°Ð¿ÑÐ¸ÑÐµÑÐºÐ¸Ðµ Ð¾ÑÐ²ÐµÑÑ ÐºÐ¾ÑÐºÐ¾Ð²ÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð¾Ð² Ñ ÑÑÐµÑÐ¾Ð¼ ÑÐ°Ð±Ð¾ÑÑ ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐµÑÐ¾Ð² Ð³Ð»ÑÑÐ°Ð¼Ð°ÑÐ°
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Mathematical model of the effect of electrodiffusion on postsynaptic responses of cortical neurons taking into account the work of glutamate transporters
Creators: name: Ð¥Ð°ÑÐ°ÑÑÑÐ½, ÐÐ°ÑÑÑ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2022
Subjects: ÐÐ¸ÑÑÑÐ·Ð¸Ñ
ÐÐ°ÑÐµÐ¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
ÑÐ»ÐµÐºÑÑÐ¾Ð´Ð¸ÑÑÑÐ·Ð¸Ñ
Ð³Ð»ÑÑÐ°Ð¼Ð°Ñ
electrodiffusion
glutamate

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description: Theme of graduated work: "A mathematical model of the influence of electrodiffusion on postsynaptic responses of cortical neurons, considering glutamate transporters". This work is devoted to the study of the contribution of electrodiffusion to the formation of the postsynaptic response. Tasks solved during the study are following: 1. The study of literature on neurophysiology and mathematical modeling in this area. 2. The study of mathematical models created earlier. 3. Development and formulation of a new mathematical model. The work was carried out at the A. F. Ioffe Physical-Technical Institute of the Russian Academy of Sciences, where theoretical and experimental data were processed, and based on an analysis of existing models and experiments provided by the Sechenov Institute of Evolutionary Physiology and Biochemistry of the Russian Academy of Sciences, a new model was created that describes the contribution of electrodiffusion to the operation of NMDA conductive glutamate receptors. Using the model, it was shown that electrodiffusion affects the processes of glutamate dynamics in the synaptic cleft, which plays a key role in the formation of the synaptic response. The results of this work can be widely used both in the field of neurophysiology, used to confirm or refute some hypotheses related to the dynamics of glutamate, and to build model neural networks in which the conduction equations of receptors are key.