Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Sergey A. Lobov"'
Autor:
Sergey A. Lobov, Ekaterina S. Berdnikova, Alexey I. Zharinov, Dmitry P. Kurganov, Victor B. Kazantsev
Publikováno v:
Biomimetics, Vol 8, Iss 3, p 320 (2023)
Mathematical and computer simulation of learning in living neural networks have typically focused on changes in the efficiency of synaptic connections represented by synaptic weights in the models. Synaptic plasticity is believed to be the cellular b
Externí odkaz:
https://doaj.org/article/b4ed3ea3d0f547bb9b95eff73fbb06bd
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:
Susanna Yu. Gordleeva, Sergey A. Lobov, Nikita A. Grigorev, Andrey O. Savosenkov, Maxim O. Shamshin, Maxim V. Lukoyanov, Maxim A. Khoruzhko, Victor B. Kazantsev
Publikováno v:
IEEE Access, Vol 8, Pp 84070-84081 (2020)
This article presents a rehabilitation technique based on a lower-limb exoskeleton integrated with a human-machine interface (HMI). HMI is used to record and process multimodal signals collected using a foot motor imagery (MI)-based brain-machine int
Externí odkaz:
https://doaj.org/article/33d5d249bc204b0f8656fcd592c11dde
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:
Iliya Mitin, Roman Korotaev, Artem Ermolaev, Vasily Mironov, Sergey A. Lobov, Victor B. Kazantsev
Publikováno v:
Biomimetics, Vol 7, Iss 4, p 215 (2022)
The paper describes a bioinspired propulsion system for a robotic fish model. The system is based on a combination of an elastic chord with a tail fin fixed on it. The tail fin is connected to a servomotor by two symmetric movable thrusts simulating
Externí odkaz:
https://doaj.org/article/7ecf87a4a99b4cb3a2b54a858770f6f0
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
Autor:
Sergey A. Lobov, Andrey V. Chernyshov, Nadia P. Krilova, Maxim O. Shamshin, Victor B. Kazantsev
Publikováno v:
Sensors, Vol 20, Iss 2, p 500 (2020)
One of the modern trends in the design of human−machine interfaces (HMI) is to involve the so called spiking neuron networks (SNNs) in signal processing. The SNNs can be trained by simple and efficient biologically inspired algorithms. In particula
Externí odkaz:
https://doaj.org/article/a95a4e1dd52742bfb48a55e6780a27b6
Publikováno v:
2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
Publikováno v:
Frontiers in Neuroscience
Frontiers in Neuroscience, Vol 14 (2020)
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