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Akademický článek
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Autor:
Tolstykh, Irina, Tsybina, Aleksandra, Yakubson, Sergey, Gordeev, Aleksandr, Dokholyan, Vladimir, Kuprashevich, Maksim
With the increasing quality and spread of LLM-based assistants, the amount of LLM-generated content is growing rapidly. In many cases and tasks, such texts are already indistinguishable from those written by humans, and the quality of generation tend
Externí odkaz:
http://arxiv.org/abs/2410.23728
Autor:
Shamina N.V., Tsybina L.V.
Publikováno v:
Russian Linguistic Bulletin, Vol 57, Iss 9 (2024)
The article examines the features of anthroponyms in various linguistic aspects, examines the formal and meaningful properties of anthroponyms (using the example of the English language), etymology and formation methods. The article also analyzes the
Externí odkaz:
https://doaj.org/article/ca47f8e5775141fc83a547f9cf373376
Autor:
E. A. Urbanchik, V. A. Kurkin, E. N. Zaitseva, V. M. Ryzhov, A. V. Dubishchev, A. S. Tsybina, A. I. Altareva, Yu. D. Sirotkina
Publikováno v:
Фармация и фармакология (Пятигорск), Vol 11, Iss 4, Pp 301-311 (2024)
The aim of the work was a phytochemical and pharmacological study of biologically active compounds (BACs) and Populus rubrinervis Hort. Alb. buds preparations of various polarities.Materials and methods. The object of the study was dry extracts of P.
Externí odkaz:
https://doaj.org/article/259d75888bf84803a1bcb67f0fd2da37
Publikováno v:
IEEE Access, Vol 12, Pp 125003-125013 (2024)
The increasing number of intelligent electrical appliances and home energy management systems provide a big opportunity for demand response services from residential and small commercial buildings to the grid. Simultaneously, direct control of indivi
Externí odkaz:
https://doaj.org/article/fb27e6dc8db0468fad7634a0a886ee5c
Autor:
Gordleeva, Susanna, Tsybina, Yuliya A., Krivonosov, Mikhail I., Tyukin, Ivan Y., Kazantsev, Victor B., Zaikin, Alexey A., Gorban, Alexander N.
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems, 04 December 2023, Early Access
Mammalian brains operate in a very special surrounding: to survive they have to react quickly and effectively to the pool of stimuli patterns previously recognized as danger. Many learning tasks often encountered by living organisms involve a specifi
Externí odkaz:
http://arxiv.org/abs/2202.07218
All vertebrates are capable of performing various types of physical activity. Locomotor patterns are created by the cyclical coordinated work of the skeletal muscles. The organization of such a system in living organisms is responsible for networks o
Externí odkaz:
http://arxiv.org/abs/2112.07295
Autor:
Tsybina, Yuliya, Kastalskiy, Innokentiy, Krivonosov, Mikhail, Zaikin, Alexey, Kazantsev, Victor, Gorban, Alexander, Gordleeva, Susanna
Modeling the neuronal processes underlying short-term working memory remains the focus of many theoretical studies in neuroscience. Here we propose a mathematical model of spiking neuron network (SNN) demonstrating how a piece of information can be m
Externí odkaz:
http://arxiv.org/abs/2108.13414
Distributed energy resources behind the meter and automation systems enable traditional electricity consumers to become prosumers (producers/consumers) that can participate in peer-to-peer exchange of electricity and in retail electricity markets. Em
Externí odkaz:
http://arxiv.org/abs/2103.03155
Autor:
Gordleeva, Susanna Yu., Tsybina, Yulia A., Krivonosov, Mikhail I., Ivanchenko, Mikhail V., Zaikin, Alexey A., Kazantsev, Victor B., Gorban, Alexander N.
Publikováno v:
Frontiers in Cellular Neuroscience, 15, 2021, Article 631485
We propose a biologically plausible computational model of working memory (WM) implemented by the spiking neuron network (SNN) interacting with a network of astrocytes. SNN is modelled by the synaptically coupled Izhikevich neurons with a non-specifi
Externí odkaz:
http://arxiv.org/abs/2011.01750