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Saratov Fall Meeting 2020 - Computations and Data Analysis: From Molecular Processes to Brain Functions

作者： Kurkin, Semen Chholak, Parth Neuroscience and Cognitive Technology Lab Center for Technologies in Robotics and Mechatronics Components Innopolis University 1 Universitetskaya Str Innopolis420500 Russia Center for Biomedical Technology Technical University of Madrid Madrid Spain

ISBN: (数字)9781510645332

ISBN: (纸本)9781510645325

The analysis of neurophysiological mechanisms responsible for the imagination of movements is essential for developing brain-computer interfaces. We have carried out MEG experiments with voluntary participants performing imaginary movements. We have analyzed the features of motor imagery (imagery arms and legs movements) at the source level. We have obtained the results that confirmed two types of motor imagery: visual imagery and kinesthetic imagery. We have analyzed averaged distributions of normalized sources power for the visual imagery and kinesthetic imagery subgroups of volunteers and identified the main differences between these types of motor imagery in terms of the excitation of sources of neural activity. We have applied statistical cluster-based permutation test to identify the differences between the averaged distributions of normalized sources power for visual and kinesthetic imagery. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Brain computer interface

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On the Control of the Movement of Robots Due To Introducting Holonomic Quasi-Ideal Constraints

On the Control of the Movement of Robots Due To Introducting...

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2021 International Conference "Nonlinearity, Information and robotics", NIR 2021

作者： Briskin, Eugene Smirnaya, Liliya Sharonov, Nikolai Kalinin, Yaroslav Volgograd State Technical University Department of Theoretical Mechanics Volgograd Russia Center for Technology Components of Robotics and Mechatronics Innopolis University Innopolis Russia Volgograd State Technical University Volgograd Russia

ISBN: (纸本)9781665424066

A method for studying the dynamics of motion of controlled mechanical systems is proposed. The method is based on the introduction of control actions as functions of the reactions of holonomic nonideal constraints. The physical meaning of the introduced functions is forces, the virtual work of which on virtual displacements of the original mechanical system is equal to zero. The introduction of such forces makes it possible to compose differential equations of motion in the traditional form of Lagrange equations with indefinite factors, and the determination of the optimal control by one criterion or another is reduced to determining the extremum of a function of many variables, in the simplest case, to establishing the coefficients of the linear transformation of the reactions of constraints. An example of a model problem is given. © 2021 IEEE.

关键词： Equations of motion

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On Determining the Optimal Lifting Law of the Walking Propulsion Device Foot of an Underwater Robot from the Bottom

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Journal of Artificial Intelligence and technology 2021年第4期1卷 214-218页

作者： Eugene S.Briskin Yaroslav V.Kalinin Liliya D.Smirnaya Department of Theoretical Mechanics Volgograd State Technical UniversityLenin Avenue28Volgograd 400005Russia Center for Technology Components of Robotics and Mechatronics Innopolis UniversityUniversitetskaya Street1Innopolis 420500Russia

The problem of lifting the foot of the walking propulsion device of an underwater mobile robot is considered,taking into account the additional"compression""force acting on it.A mathematical model has been developed for the detachment of a propulsion foot from the ground,based on Henry's laws establishing the concentration of dissolved air in a liquid,the law of gas expansion at a constant temperature,Darcy's law on fluid filtration,and the theorem on the motion of the center of mass of a solid *** linearized model allows to obtain and analytical *** on the solution of the variat ional problem,optimal modes of lifting the foot of the walking propulsion of an underwater mobile robot are established.

关键词： walking propulsion device underwater walking robot pulling force the force of resistance to motion optimal control

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Analysis of information perception and processing during long-term and intense cognitive load using combined EEG and NIRS

Analysis of information perception and processing during lon...

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2020 International Conference Nonlinearity, Information and robotics, NIR 2020

作者： Grubov, Vadim Badarin, Artem Maksimenko, Vladimir Center for Technologies in Robotics and Mechatronics Components Innopolis University Neuroscience and Cognitive Technology Laboratory Russia

ISBN: (纸本)9781728187631

This work is devoted to the analysis of information perception and processing during long-term and intense cognitive load using combined EEG + NIRS. We consider changes in the reaction time during long-term and intense cognitive load and a comparison of brain activity with behavioral characteristics. We found the establishment of a characteristic mode in the brain corresponding to a routine cognitive task. © 2020 IEEE.

关键词： Brain

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Features of real and imaginary human motor activity with EEG and fNIRS

Features of real and imaginary human motor activity with EEG...

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2020 International Conference Nonlinearity, Information and robotics, NIR 2020

作者： Grubov, Vadim Badarin, Artem Frolov, Nikita Pitsik, Elena Center for Technologies in Robotics and Mechatronics Components Innopolis University Neuroscience and Cognitive Technology Lab Russia

ISBN: (纸本)9781728187631

Experimental design for recording of EEG and fNIRS during performance of real and imaginary movement was proposed. Set of experiments was conducted in accordance with this design and obtained EEG and fNIRS dataset was analyzed. Analysis allowed to introduce certain features in time-frequency domain that can be used to separate real motor activity from motor imagery. © 2020 IEEE.

关键词： Electroencephalography

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On Choosing Structure for a Machine Learning-based Reaction Force Predictor for Walking Robots

On Choosing Structure for a Machine Learning-based Reaction ...

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2020 International Conference on robotics and Artificial Intelligence, RoAI 2020

作者： Zalyaev, E. Savin, S. Salikhzyanov, A. Golousov, S. Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis420500 Russia Edge Vision Ltd. Innopolis420500 Russia Technology Arrival Ltd Banbury London United Kingdom

This paper focuses on the topic of contact reaction prediction for walking robots, namely on the analysis of performances on different structures of the machine-learning-based predictors. Predicting reaction forces is important due to the fact that it can allow us to retrieve a simplified model of the contact scenario, as was proposed in the literature preciously. This allows to turn the problem of contact model identification into a data collection and processing problem. In order to do it effectively, both a data compression (feature extraction) and regression strategies might be used. This research provides an analysis of both with respect to the discussed problem. © Published under licence by IOP Publishing Ltd.

关键词： Machine learning

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Topological classification of population activity in spiking neural network

Topological classification of population activity in spiking...

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Saratov Fall Meeting 2020 - Computations and Data Analysis: From Molecular Processes to Brain Functions

作者： Lobov, Sergey A. Zharinov, Alexey I. Semenova, Olga Kazantsev, Victor B. Lobachevsky State University Nizhny Novgorod Russia Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Laboratory of Neuromodeling Samara Russia

ISBN: (数字)9781510645332

ISBN: (纸本)9781510645325

The role of propagating waves of neuronal activity in different brain areas, particularly in cerebral cortex, is still debated in modern neuroscience. We consider spiking neural network (SNN) model with spike timing dependent plasticity (STDP). It is shown that in the SNN the topological type of neural activity depends on the average length of connections between neurons - the connectivity radius. At the small radius (mostly local connections), the activity spreads in the form of traveling waves with well shaped leading and trailing edge. Such simple wave activity can be treated as a network spike. With increase in the connectivity radius, blurring of the leading and trailing edges is observed up to the "instant"activation of the network. In this case, the sparse neurons first generate spikes, and then all neurons in the network generate multiple spikes. This type of activity can be considered as a network burst. We also analyze the velocity of neural activity propagation depending on the connectivity radius. In the case of the network burst mode, the velocity is predominantly limited by axonal delays. In turn, in the case of the network spike mode it is defined by synaptic delays. In addition, we found that the STDP facilitates network synchronization in SNNs with a predominance of local connections. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Neurons

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Efficiency and fatigue in marksmanship training 5

Efficiency and fatigue in marksmanship training

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5th Scientific School on Dynamics of Complex Networks and their Applications, DCNA 2021

作者： Grubov, Vadim Badarin, Artem Savosenkov, Andrey Grigoriev, Nikita Lukojanov, Maxim Ydoratina, Anna Maximenko, Vladimir Kazantsev, Viktor B. Hramov, Alexander E. Neuroscience and Cognitive Technology Lab Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Brain-Machine Interface Development Lab Institute for Neurosciences Lobachevskiy University Nijnij Novgorod Russia

In the present study we developed experimental paradigm and setup for marksmanship training in untrained subjects. We aimed to demonstrate correlation between subject’s fatigue and efficiency during training. © ... 详细信息

ISBN: (纸本)9781665442824

关键词： Efficiency

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Classification of hand-related real and imaginary motor activity with fNIRS 4

Classification of hand-related real and imaginary motor acti...

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4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual robotics, DCNAIR 2020

作者： Hramov, Alexander Grubov, Vadim Badarin, Artem Center for Technologies in Robotics and Mechatronics Components Innopolis University Neuroscience and Cognitive Technology Lab Innopolis Russia

ISBN: (纸本)9781728172866

In the present work we studied blood oxygenation/deoxygenation spatial dynamics related to real and imaginary motor activity using functional near-infrared spectroscopy (fNIRS). We revealed biomarkers based on pronounced hemispheric lateralization of hemodynamical response in the motor cortex during motor activity. We used these markers to design a sensing method for classification of movement's type. The accuracy of real movements classification was close to 100%, while for imaginary movements it was lower but still quite high (about 90%). The proposed system can find application, for example, in neurorehabilitation after severe brain injuries, including traumas and strokes. © 2020 IEEE.

关键词： Infrared devices

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Detecting inter-areal functional connectivity using artificial neural network 4

Detecting inter-areal functional connectivity using artifici...

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4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual robotics, DCNAIR 2020

作者： Pitsik, Elena Frolov, Nikita Innopolis University Neuroscience and Cognitive Technology Lab Center for Technologies in Robotics and Mechatronics Components Innopolis Russia

ISBN: (数字)9781728172866

ISBN: (纸本)9781728172866

In present paper we introduce an extended machine-learning-based approach to detect inter-areal functional connectivity based on artificial neural network (ANN). We prove the efficiency of the proposed method by applying multi-layer perceptron to find functional relations between the cortex and thalamus of the pathological WAG/Rij rats during the epileptic seizure based on the multivariate electrocorticography (ECoG) recordings. We show that the proposed algorithm is able to reconstruct the increased coupling within a thalamo-cortical network during the seizure versus a baseline activity. © 2020 IEEE.

关键词： Multilayer neural networks

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