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检索条件"机构=Center for Technology Components of Robotics and Mechatronics"
117 条 记 录,以下是11-20 订阅
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Analysis of muscle activation patterns during equilibrium seeking activity
Analysis of muscle activation patterns during equilibrium se...
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Saratov Fall Meeting 2020 - Computations and Data Analysis: From Molecular Processes to Brain Functions
作者: Khorev, Vladimir S. Grubov, Vadim V. Badarin, Artem A. Kurkin, Semen A. Neuroscience and Cognitive Technology Lab Center for Technologies in Robotics and Mechatronics Components Innopolis University 1 Universitetskaya Str Innopolis420500 Russia
The main goal of this project was to identify the patterns of muscular activity of a person in the process of his interaction with the environment, as well as to identify mechanisms that make it possible to adapt beha... 详细信息
来源: 评论
Synchronization in the inhibitory coupled Hodgkin-Huxley neural networks
Synchronization in the inhibitory coupled Hodgkin-Huxley neu...
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Saratov Fall Meeting 2020 - Computations and Data Analysis: From Molecular Processes to Brain Functions
作者: Andreev, Andrei V. Maksimenko, Vladimir A. Neuroscience and Cognivite Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Universitetskaya Str. 1 Innopolis420500 Russia
We consider two small-world networks of Hodgkin-Huxley neurons interacting via inhibitory coupling. We found that synchronization indices (SI) in both networks oscillate periodically in time, so that time intervals of... 详细信息
来源: 评论
Convolutional Neural Network and Adversarial Autoencoder in EEG images classification  5
Convolutional Neural Network and Adversarial Autoencoder in ...
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5th Scientific School on Dynamics of Complex Networks and their Applications, DCNA 2021
作者: Nasybullin, Albert Kurkin, Semen Faculty of Computer Science and Engineering Innopolis University Innopolis Russia Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia
In this paper, we consider applying computer vision algorithms for the classification problem one faces in neuroscience during EEG data analysis. Our approach is to apply a combination of computer vision and neural ne... 详细信息
来源: 评论
Biomarkers of brain activity for the performance evaluation in the process of solving cognitive tasks  5
Biomarkers of brain activity for the performance evaluation ...
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5th Scientific School on Dynamics of Complex Networks and their Applications, DCNA 2021
作者: Badarin, Artem Smirnov, Nikita Kurkin, Semen Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Center for Neurotechnology and Machine Learning Immanuel Kant Baltic Federal University Kaliningrad Russia
In this paper, we analyze the brain activity during the execution by the subject of simple cognitive tasks associated with visual attention and symbol perception. We obtain biomarkers of brain activity in the process ... 详细信息
来源: 评论
Effect of prehistory on the ambiguous stimuli processing in the human brain  5
Effect of prehistory on the ambiguous stimuli processing in ...
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5th Scientific School on Dynamics of Complex Networks and their Applications, DCNA 2021
作者: Kuc, Alexander Neuroscience and Cognitive Technology Lab Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Center for Neurotechnology and Machine Learning Immanuel Kant Baltic Federal University Kaliningrad Russia
To model the picture of the external environment, the brain uses data coming from the sensory system. However, it is believed that the brain’s representation of the external environment is formed not only by sensory ... 详细信息
来源: 评论
Quasi-movements as an intermediate type of motion  5
Quasi-movements as an intermediate type of motion
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5th Scientific School on Dynamics of Complex Networks and their Applications, DCNA 2021
作者: Smirnov, Nikita M. Kurkin, Semen Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Center for Neurotechnology and Machine Learning Immanuel Kant Baltic Federal University Kaliningrad Russia
This paper discusses the three distinct types of motor activity, namely quasi, real, and imagery. Quasi-motion is voluntary movements that are minimized to the point that finally become undetectable by objective measu... 详细信息
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Source-level analysis of brain activity in the process of learning and retrieving new information  5
Source-level analysis of brain activity in the process of le...
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5th Scientific School on Dynamics of Complex Networks and their Applications, DCNA 2021
作者: Makarov, Vladimir Grubov, Vadim Kurkin, Semen Smirnov, Nikita Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Center for Neurotechnology and Machine Learning Immanuel Kant Baltic Federal University Kaliningrad Russia
In this paper, we discovered the increase in EEG power in the theta frequency range in the occipital cortex during a visual analysis of new information and the power decrease in the alpha range in the temporal lobe du... 详细信息
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Comparison on brain activity for mechanical imagery and execution: a brief review  5
Comparison on brain activity for mechanical imagery and exec...
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5th Scientific School on Dynamics of Complex Networks and their Applications, DCNA 2021
作者: Chepurova, Alla Kurkin, Semen Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Center for Neurotechnology and Machine Learning Immanuel Kant Baltic Federal University Kaliningrad Russia
With this review we summarize the current state of scientific studies in the field of MI (motor imagery) and ME (motor execution). We composed brain map and description which correlate different brain areas with type ... 详细信息
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Artificial neural network predicts inter-areal functional connectivity
Artificial neural network predicts inter-areal functional co...
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Saratov Fall Meeting 2020 - Computations and Data Analysis: From Molecular Processes to Brain Functions
作者: Pitsik, Elena Frolov, Nikita Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Saratov State Medical University Saratov Russia
In the present paper, we introduce an extended machine-learning-based approach to detect inter-areal functional connectivity based on an artificial neural network (ANN). Using the concept of generalized synchronizatio... 详细信息
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Walking Robot Control with a Machine Learning-based Ground Reaction Force Predictor and Generated Linear Contact Model∗
Walking Robot Control with a Machine Learning-based Ground R...
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2021 International Conference "Nonlinearity, Information and robotics", NIR 2021
作者: Savin, Sergei Golousov, Svyatoslav Zalyaev, Eduard Salikhzyanov, Alek Klimchik, Alexandr Innopolis University Center for Technologies in Robotics and Mechatronics Components Innopolis420500 Russia Technology Arrival Ltd Banbury United Kingdom Edge Vision Ltd. Innopolis420500 Russia
This paper aims to present a comprehensive view on a new control method for legged robot: data-driven ground reaction predictor-based control. The idea of the method is to use machine learning tools to build a reliabl... 详细信息
来源: 评论