Scientists of the International Laboratory of Dynamic Systems and Applications at HSE Campus in Nizhny Novgorod have described a rare case of synchronisation in a system of chemically coupled neuron models. The study findings enable a mathematical description of atypical brain functioning modes, including those associated with neurodegenerative diseases. The study has been published in Regular and Chaotic Dynamics.
Physicists at HSE University and NUST MISIS have formulated and solved equations for a quantum battery, a device capable of storing energy in the form of light. Their findings will facilitate precise calculations of the capacity, power, and duration required for optimal battery charging. Quantum batteries are expected to improve the performance of solar panels and electric vehicles, while also opening up new avenues for efficient energy transfer. The study has been published in Physical Review A.
Researchers at the HSE International Laboratory of Social Neurobiology assessed the effectiveness of two strategies for regulating emotions: reappraisal and suppression. Having analysed data on the electrical activity of 60 individuals’ brains, the scientists discovered that both approaches put additional strain on the nervous system. It was also found that individuals who are prone to emotional contagion tend to be more effective in using reappraisal and managing negative emotions. The paper has been published in Experimental Brain Research.
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Silaeva V. A., Silaeva M. V., Silaev A. M., В кн. : Системное моделирование социально-экономических процессов: труды 42-ой международной научной школы-семинара имени академика С.С.Шаталина. : Воронеж : Истоки, 2019. С. 516-522.
Рассматривается задача оценивания параметров временных рядов со скачкообразными изменениями в случайные моменты времени. Для решения используется алгоритм, основанный на вычислении апостериорных вероятностей моментов появления скачков параметров на интервале наблюдения. Предлагается вариант EM алгоритма, основанный на итерационной процедуре, в ходе которой происходит чередование оценивания параметров моделей при заданном моменте скачка и оценивания момента появления скачка при ...
Silaeva V. A., Silaeva M. V., Silaev A. M., Компьютерные исследования и моделирование 2018 Т. 10 № 6 С. 903-918
The paper considers the problem of estimating the parameters of time series described by regression models
with Markov switching of two regimes at random instants of time with independent Gaussian noise. For the
solution, we propose a variant of the EM algorithm based on the iterative procedure, during which an estimation
of the regression parameters is performed for ...
Kirillov A., Gavrikov M., Lobacheva E. et al., , in : Proceedings of the 27th British Machine Vision Conference. : -, 2016. P. 1-12.
The Shape Boltzmann Machine (SBM) and its multilabel version MSBM have been recently introduced as deep generative models that capture the variations of an object shape. While being more flexible MSBM requires datasets with labeled parts of the objects for training. In the paper we present an algorithm for training MSBM using binary masks of ...
Konakov V., Mozgunov P., / Cornell University. Серия math "arxiv.org". 2015. № 1505.07981.
In this paper we consider the behavior of Kalman Filter state estimates in the case of distribution with heavy tails .The simulated linear state space models with Gaussian measurement noises were used. Gaussian noises in state equation are replaced by components with alpha-stable distribution with di erent parameters alpha and beta. We consider the case ...