Исследования механизмов структурно-функциональной пластичности в нейронных сетях, а также аспекты их практического применения

Разработка методов классификации динамических паттернов в сетях спайковых нейронов

Разработка модели восприятия и декодирования запахов в мозге

Разработка концептуальных моделей инженерных прототипов, макетов информационно-вычислительных и робототехнических комплексов – дронов биоморфного типа

Проект РНФ № 23-11-00134 «Разработка новых технологий искусственного интеллекта на основе многомасштабных биологически релевантных моделей нейронных сетей мозга», руководитель: Казанцев В.Б.

Проект РНФ № 24-19-00420 «Разработка биоморфной системы нейроуправления роботом c машущим крылом», руководитель: Кастальский И.А.

Efimova N., Tyukin I., Kazantsev V. Spiking phase control in synaptically coupled Hodgkin–Huxley neurons // Chaos, Solitons & Fractals. – 2024. – V. 185. – p. 115060.
DOI: 10.1016/j.chaos.2024.115060

Zabello K.K., Shchur N.A., Gladysheva E.A., Smirnova E.Y., Popov A.V., Kazantsev V.B. Self-consistent numerical model of mosquito dynamics with specified kinematic parameters of wing movement // Communications in Nonlinear Science and Numerical Simulation. – 2024. – V. 135. – p. 108032.
DOI: 10.1016/j.cnsns.2024.108032

Stasenko S.V., Mikhaylov A.N., Fedotov A.A., Smirnov V.A., Kazantsev V.B. Astrocyte control bursting mode of spiking neuron network with memristor-implemented plasticity // Chaos, Solitons & Fractals. – 2024. – V. 181. – p. 114648.
DOI: 10.1016/j.chaos.2024.114648

Kastalskiy I.A., Gordleeva S.Y., Hramov A.E., Kazantsev V.B. Bridging nonlinear dynamics and physiology: Implications for CPGs and biomimetic robotics. Reply to comments on “Control of movement of underwater swimmers: Animals, simulated animates and swimming robots” // Physics of Life Reviews. – 2024. – V. 50. – pp. 32-34.
DOI: 10.1016/j.plrev.2024.05.005

Лебедев А.А., Казанцев В.Б., Стасенко С.В. Исследование влияния синаптической пластичности на формирование признакового пространства спайковой нейронной сетью // Известия вузов. Прикладная нелинейная динамика. – 2024. – T. 32. – № 2. – С. 253-267.
DOI: 10.18500/0869-6632-003092

Стасенко С.В. Регуляция пачечной динамики в нейрон-глиальной сети с синаптической пластичностью // Известия вузов. Прикладная нелинейная динамика. – 2024. – Т. 32. – № 5. – С. 670-690.
DOI: 10.18500/0869-6632-003122

Stasenko, S.V., Kazantsev, V.B. Astrocyte Controlled SNN Dynamic Induced by Sensor Input. In: Balandin, D., Barkalov, K., Meyerov, I. (eds) Mathematical Modeling and Supercomputer Technologies. MMST 2023. Communications in Computer and Information Science. – V. 1914. – Springer, Cham, 2024.
DOI: 10.1007/978-3-031-52470-7_23
https://link.springer.com/chapter/10.1007/978-3-031-52470-7_23

Gordleeva S., Tsybina Y., Krivonosov M., Tyukin I., Kazantsev V., Zaikin A., Gorban A.N. Situation-based neuromorphic memory in spiking neuron-astrocyte network // IEEE Transactions on Neural Networks and Learning Systems. – 2023.
DOI: 10.1109/TNNLS.2023.3335450

Gordleeva S.Y., Kastalskiy I.A., Tsybina Y.A., Ermolaeva A.V., Hramov A.E., Kazantsev V.B. Control of movement of underwater swimmers: Animals, simulated animates and swimming robots // Physics of Life Reviews. – 2023. – V. 47. – pp. 211-244.
DOI: 10.1016/j.plrev.2023.10.037

Stasenko S.V., Hramov A.E., Kazantsev V.B. Loss of neuron network coherence induced by virus-infected astrocytes: A model study // Scientific Reports. – 2023. – V. 13. – p. 6401.
DOI: 10.1038/s41598-023-33622-0

Stasenko S.V., Kazantsev V.B. Dynamic Image Representation in a Spiking Neural Network Supplied by Astrocytes // Mathematics. – 2023. – V. 11. – p. 561.
DOI: 10.3390/math11030561

Lobov S.A., Berdnikova E.S., Zharinov A.I., Kurganov D.P., Kazantsev V.B. STDP-Driven Rewiring in Spiking Neural Networks under Stimulus-Induced and Spontaneous Activity // Biomimetics. – 2023. – V. 8. – p. 320.
DOI: 10.3390/biomimetics8030320

Zimin I.A., Kazantsev V.B., Stasenko S.V. Artificial Neural Network Model with Astrocyte-Driven Short-Term Memory // Biomimetics. – 2023. – V. 8. – p. 422.
DOI: 10.3390/biomimetics8050422

Stasenko S.V., Kazantsev V.B. Bursting Dynamics of Spiking Neural Network Induced by Active Extracellular Medium // Mathematics. – 2023. – V. 11. – p. 2109. –
DOI: 10.3390/math11092109

Lobov S.A., Mikhaylov A.N., Berdnikova E.S., Makarov V.A., Kazantsev V.B. Spatial Computing in Modular Spiking Neural Networks with a Robotic Embodiment // Mathematics. – 2023. – V. 11. – p. 234.
DOI: 10.3390/math11010234

Makovkin S., Kastalskiy I., Gordleeva S. Phase-locked states in a spiking neural network model with a context-dependent connectivity // 2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA), Kaliningrad, Russia. – IEEE, 2023. – pp. 182-185.
DOI: https://doi.org/10.17816/gc623436

Stasenko S.V., Levanova T. Mean-Field Model of Glia-Mediated Appearance of Brain Rhythms in Normal and Pathological Conditions // 2023 Fifth International Conference Neurotechnologies and Neurointerfaces (CNN), Kaliningrad, Russia. – IEEE, 2023. – pp. 90-95.
DOI: 10.1109/CNN59923.2023.10275286

Stepasyuk V.Y., Kazantsev V.B., Lobov S.A. The Synergy of Synaptic Scaling and Internal Homeostatic Plasticity // 2023 Fifth International Conference Neurotechnologies and Neurointerfaces (CNN), Kaliningrad, Russia. – IEEE, 2023. – pp. 96-99.
DOI: 10.1109/CNN59923.2023.10275187

Stepasyuk V.Y., Makarov V.A., Lobov S.A., Kazantsev V.B. Synaptic scaling as an essential component of Hebbian learning // 2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA), Kaliningrad, Russia. – IEEE, 2022. – pp. 270-273.
DOI: 10.1109/DCNA56428.2022.9923054

Makovkin S., Gordleeva S., Kastalskiy I. Towards a Biologically Plausible SNN-based Associative Memory with Context Dependent Hebbian Connectivity // International Journal of Neural Systems. – 2024 [submitted].

Stasenko, S.V., Kazantsev, V.B. Study of the influence of astrocytic modulation of STDP on the sensitivity of synapses to spatiotemporal patterns // International Conference on Neuroinformatics. – Cham : Springer International Publishing, 2024 [submitted].