Zobrazeno 1 - 10
of 251
pro vyhledávání: '"Valeri A. Makarov"'
Autor:
Alexey N. Mikhaylov, Sergey A. Shchanikov, Vyacheslav A. Demin, Valeri A. Makarov, Victor B. Kazantsev
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Externí odkaz:
https://doaj.org/article/c9df146534bc419cbb15e5dfe3dac1cc
Publikováno v:
Frontiers in Computational Neuroscience, Vol 16 (2022)
The design of modern convolutional artificial neural networks (ANNs) composed of formal neurons copies the architecture of the visual cortex. Signals proceed through a hierarchy, where receptive fields become increasingly more complex and coding spar
Externí odkaz:
https://doaj.org/article/75b0ceab4cda4380aa776ac90787812d
Autor:
José Antonio Villacorta-Atienza, Carlos Calvo Tapia, Sergio Díez-Hermano, Abel Sánchez-Jiménez, Sergey Lobov, Nadia Krilova, Antonio Murciano, Gabriela E. López-Tolsa, Ricardo Pellón, Valeri A. Makarov
Publikováno v:
Journal of Advanced Research, Vol 28, Iss , Pp 111-125 (2021)
Introduction: The human brain has evolved under the constraint of survival in complex dynamic situations. It makes fast and reliable decisions based on internal representations of the environment. Whereas neural mechanisms involved in the internal re
Externí odkaz:
https://doaj.org/article/22aa52af527741f894b347751861cea0
Autor:
Sergey A. Lobov, Alexey N. Mikhaylov, Ekaterina S. Berdnikova, Valeri A. Makarov, Victor B. Kazantsev
Publikováno v:
Mathematics, Vol 11, Iss 1, p 234 (2023)
One of the challenges in modern neuroscience is creating a brain-on-a-chip. Such a semiartificial device based on neural networks grown in vitro should interact with the environment when embodied in a robot. A crucial point in this endeavor is develo
Externí odkaz:
https://doaj.org/article/daa29086d56c442b90a2d0c7c11cc80a
Autor:
Carlos Calvo Tapia, José Antonio Villacorta-Atienza, Sergio Díez-Hermano, Maxim Khoruzhko, Sergey Lobov, Ivan Potapov, Abel Sánchez-Jiménez, Valeri A. Makarov
Publikováno v:
Frontiers in Neurorobotics, Vol 14 (2020)
Evolved living beings can anticipate the consequences of their actions in complex multilevel dynamic situations. This ability relies on abstracting the meaning of an action. The underlying brain mechanisms of such semantic processing of information a
Externí odkaz:
https://doaj.org/article/7dc5e596b788456aafb377e3a92dcf18
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
Development of spiking neural networks (SNNs) controlling mobile robots is one of the modern challenges in computational neuroscience and artificial intelligence. Such networks, being replicas of biological ones, are expected to have a higher computa
Externí odkaz:
https://doaj.org/article/41df0affa9ca40709d5fd65e920ec2d6
Publikováno v:
Sensors, Vol 21, Iss 8, p 2678 (2021)
Cognitive maps and spatial memory are fundamental paradigms of brain functioning. Here, we present a spiking neural network (SNN) capable of generating an internal representation of the external environment and implementing spatial memory. The SNN in
Externí odkaz:
https://doaj.org/article/5531a027e1954176844a7f8c354a78bc
Publikováno v:
Sensors, Vol 18, Iss 4, p 1122 (2018)
Recent advances in recording and real-time analysis of surface electromyographic signals (sEMG) have fostered the use of sEMG human–machine interfaces for controlling personal computers, prostheses of upper limbs, and exoskeletons among others. Des
Externí odkaz:
https://doaj.org/article/07c304c8267840709ab143543f80b01f
Autor:
Valeri V. Makarov, Michael Efroimsky
It is conceivable that a few thousand confirmed exoplanets initially harboured satellites similar to the moons of the Solar system or larger. Could some of them have survived over the aeons of dynamical evolution to the present day? The dynamical con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cac3aed2cca904ece23743c7b4cb3c88
http://arxiv.org/abs/2302.04646
http://arxiv.org/abs/2302.04646
Autor:
Valeri V. Makarov
Publikováno v:
Revista Mexicana de Astronomía y Astrofísica. 57:399-405
Mass ratios of widely separated, long-period, resolved binary stars can be directly estimated from the available data in major space astrometry catalogs, such as the ESA's Hipparcos and Gaia mission results. The method is based on the universal princ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f683aabf86f9023a887d29445857f012
https://doi.org/10.22201/ia.01851101p.2021.57.02.12
https://doi.org/10.22201/ia.01851101p.2021.57.02.12