Горбань Александр Николаевич

Список преподаваемых дисциплин

Публикации

2024

Kastalskiy I.A., Zinovyev A., Mirkes E.M., Kazantsev V.B., Gorban A.N. Exploring the impact of social stress on the adaptive dynamics of COVID-19: Typing the behavior of naïve populations faced with epidemics // Communications in Nonlinear Science and Numerical Simulation. V. 132. 2024. P. 107906.

2023

Gorban A.N., Dunin-Barkovskii V. Editorial: Toward and beyond human-level AI, volume II // Frontiers in Neurorobotics. V. 16. 2023. P. 1120167.

Gordleeva S.Yu., Tsybina Yu.A., Krivonosov M.I., Tyukin I.Yu., Kazantsev V.B., Zaikin A.A., Gorban A.N. Situation-based neuromorphic memory in spiking neuron-astrocyte network // IEEE Transactions on Neural Networks and Learning Systems. 2023. P. 1-15.

2022

Tsybina Y.A., Kastalskiy I.A., Krivonosov M.I., Zaikin A.A., Kazantsev V.B., Gorban A.N., Gordleeva S.Y. Astrocytes mediate analogous memory in a multi-layer neuron–astrocyte network // Neural Computing and Applications. 2022. P. 1-14.

Mirkes E.M., Jonathan Bac, Aziz Fouché, Stasenko S.V., Zinovyev A.Yu., Gorbany A.N. Domain Adaptation Principal Component Analysis: Base Linear Method for Learning with Out-of-Distribution Data // Entropy. № 25. V. 1. 2022. P. 1-26.

2021

Tsybina Yu.A., Gordleeva S.Yu., Krivonosov M.I., Kastalskiy I.A., Zaikin A.A., Gorban A.N. Modelling Working Memory in Neuron-Astrocyte Network // 2021 IEEE International Joint Conference on Neural Networks (IJCNN), Shenzhen, China. IEEE Xplore. 2021. P. 1-6.

Цыбина Ю.А., Гордлеева С.Ю., Кривоносов М.И., Заикин А.А., Горбань А.Н., Иванченко М.В. Моделирование рабочей памяти в нейрон-астроцитарных сетях // XXV научная конференция по радиофизике 2021. Национальный исследовательский Нижегородский государственный университет им. Н.И. Лобачевского (Нижний Новгород). 2021. [принято к печати]

Tsybina Yu.A., Gordleeva S.Yu., Krivonosov M.I., Zaikin A.A., Gorbany A.N. MODELLING WORKING MEMORY IN NEURON-ASTROCYTE NETWORKS // VOLGA NEUROSCIENCE MEETING 2021. Национальный исследовательский Нижегородский государственный университет им. Н.И. Лобачевского (Нижний Новгород). 2021. P. 85-86. [принято к печати]

Цыбина Ю.А., Кривоносов М.И., Заикин А.А., Горбань А.Н., Гордлеева С.Ю. МОДЕЛИРОВАНИЕ КРАТКОВРЕМЕННОЙ ПАМЯТИ В СПАЙКОВОЙ НЕЙРОН-АСТРОЦИТАРНОЙ СЕТИ // 21-я международная конференция и молодежная школа «Математическое моделирование и суперкомпьютерные технологии». 3 стр. 2021. С. 395-397.

Gordleeva S.Yu., Tsybina Yu.A., Krivonosov M.I., Ivanchenko M.V., Zaikin A.A., Kazantsev V.B., Gorbany A.N. Modeling Working Memory in a Spiking Neuron Network Accompanied by Astrocytes // Frontiers in Cellular Neuroscience. V. 15. 2021. P. 86.

Gorbany A.N., Grenchuk Bogdan, Mirkes E.M., Stasenko S.V., Tyukin I.Yu. High-dimensional separability for one-and few-shot learning // Entropy. № 23. V. 8. 2021. P. 1-52.

Kastalskiy I.A., Pankratova E.V., Mirkes E.M., Kazantsev V.B., Gorban A.N. Social stress drives the multi-wave dynamics of COVID-19 outbreaks // Scientific Reports. № 1. V. 11. 2021. P. 22497.

2020

Tsybina Yu.A., Krivonosov M.I., Gordleeva S.Yu., Zaikin A.A., Gorbany A.N. Short-term memory in neuron-astrocyte network // Материалы IV Международной школы-конференции молодых учёных «Динамика сложных сетей и их применение в интеллектуальной робототехнике».. IEEE. P. 245-247. 2020. P. 3.

Кривоносов М.И., Цыбина Ю.А., Заикин А.А., Горбань А.Н., Иванченко М.В. Кратковременная рабочая память в нейрон-астроцитарной сети // Математическое моделирование и суперкомпьютерные технологии. Труды XX Международной конференции. под ред. проф. В.П. Гергеля. Нижний Новгород, 2020. С. 407-408. 2020. С. 2.

2019

Mirkes E.M., Allohibi J., Gorban A.N. Do Fractional Norms and Quasinorms Help to Overcome the Curse of Dimensionality // Proceedings of 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 2019. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/IJCNN.2019.8851899. 2019. P. 1-8.

Tyukin I.Y., Gorban A.N., Grechuk B., Green S. Kernel Stochastic Separation Theorems and Separability Characterizations of Kernel Classifiers // Proceeding of 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 2019. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/IJCNN.2019.8852278. 2019. P. 1-6.

Gordleeva S.Yu., Lotareva Y.A., Krivonosov M.I., Zaikin A.A., Ivanchenko M.V., Gorbany A.N. Astrocytes Organize Associative Memory // Advances in Neural Computation, Machine Learning, and Cognitive Research III: Selected Papers from the XXI International Conference on Neuroinformatics, October 7–11, 2019, Dolgoprudny, Moscow Region, Russia. Kryzhanovsky B., Dunin-Barkowski W., Redko V., Tiumentsev Y. (eds), Studies In Computational Intelligence, 384-391, Springer, Cham, 2019. 2019. P. 384-391.

Gordleeva S.Yu., Zaikin A.A., Gorbany A.N., Krivonosov M.I., Tsybina Yu.A., Ivanchenko M.V. Astrocytes organize associative memory // 21st International Conference on Neuroinformatics, 2019; Dolgoprudny; Russian Federation;. Studies in Computational Intelligence Volume 856, 2020, Pages 384-391 21st International Conference on Neuroinformatics, 2019; Dolgoprudny; Russian Federation; 7 October 2019 до 11 October 2019; Код 231619. 2019. P. 384-391.

Цыбина Ю.А., Гордлеева С.Ю., Кривоносов М.И., Заикин А.А., Горбань А.Н., Иванченко М.В. Ассоциативная память в простейшей модели нейрон-астроцитарной сети // ТРУДЫ XXIII НАУЧНОЙ КОНФЕРЕНЦИИ ПО РАДИОФИЗИКЕ, ПОСВЯЩЕННОЙ 100-ЛЕТИЮ СО ДНЯ РОЖДЕНИЯ Н.А. ЖЕЛЕЗЦОВА. Национальный исследовательский Нижегородский государственный университет им. Н.И. Лобачевского (Нижний Новгород). 2019. С. 239-242.

Tyukin I.Y., Iudin D., Iudin F., Tyukina T., Kazantsev V.B., Mukhina I.V., Gorban A.N. Simple model of complex dynamics of activity patterns in developing networks of neuronal cultures // PLoS ONE. № 6. V. 14. 2019. P. E0218304.

Gorban A.N., Burton R., Romanenko I., Tyukin I.Y. One-trial correction of legacy AI systems and stochastic separation theorems // Information Sciences. V. 484. 2019. P. 237-254.

Tyukin I.Y., Gorban A.N., Green S., Prokhorov D. Fast Construction of Correcting Ensembles for Legacy Artificial Intelligence Systems: Algorithms and a Case Study // Information Sciences. V. 485. 2019. P. 230-247.

Gorban A.N., Mirkes E.M., Tyukin I.Y. How Deep Should be the Depth of Convolutional Neural Networks: a Backyard Dog Case Study // Cognitive Computation. V. Onlin. 2019. P. N/A.

Gorban A.N., Makarov V.A., Tyukin I.Y. The unreasonable effectiveness of small neural ensembles in high-dimensional brain // Physics of Life Reviews. V. 29. 2019. P. 55-88.

Gorban A.N. Universal Lyapunov functions for non-linear reaction networks // Communications in Nonlinear Science and Numerical Simulation. V. 79. 2019. P. Article number: 104910.

Chen H., Albergante L., Hsu J.Y., Lareau C.A., Bosco G.L., Guan J., Zhou S., Gorban A.N., Bauer D.E., Aryee M.J., Langenau D.M., Zinovyev A.Y., Buenrostro J.D., Yuan G.-C., Pinello L. Single-cell trajectories reconstruction, exploration and mapping of omics data with STREAM // Nature Communications. № 1. V. 10. 2019. P. Article number: 1903.

Sompairac N., Nazarov P.V., Czerwinska U., Cantini U., Biton A., Molkenov A., Zhumadilov Z., Barillot E., Radvanyi F., Gorban A.N., Kairov U., Zinovyev A.Y. Independent Component Analysis for Unraveling the Complexity of Cancer Omics Datasets // International Journal of Molecular Sciences. V. 20. 2019. P. Article number: 4414.

Gorban A.N., Harel-Bellan A., Morozova N., Zinovyev A.Y. O Basic, simple and extendable kinetic model of protein synthesis // Mathematical Biosciences and Engineering. № 6. V. 16. 2019. P. 6602-6622.

Gorban A.N., Makarov V.A., Tyukin I.Y. Symphony of high-dimensional brain // Physics of Life Reviews. V. 29. 2019. P. 115-119.

Gorban A.N., Makarov V.A., Tyukin I.Y. High-Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality // Entropy. № 1. V. 22. 2019. P. Article number: 82.