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

作者： Chholak, Parth Pisarchik, Alexander N. Technical University of Madrid Centre for Biomedical Technology Madrid Spain Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia

ISBN: (纸本)9781728172866

Twelve subjects (6 males;17-64 years) participated in magnetoencephalography (MEG) experiments designed to study visual response to flickering Necker cubes. Event-related fields in the lateral occipital complex and steady-state response in the visual region V1 and V2 were studied to characterise the early response time durations and attentional capacity during the trial time period of 5-s, respectively. We found that there was an optimal response time duration for which the attention capacity was maximum. The results also support the hypothesis that stimulus detection in brain is driven by coherence resonance. © 2020 IEEE.

关键词： Magnetoencephalography

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Anterior TMS Speeds up Responses in Perceptual Decision-making Task 6

Anterior TMS Speeds up Responses in Perceptual Decision-maki...

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6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022

作者： Maksimenko, Vladimir Gordleeva, Susanna Grigorev, Nikita Savosenkov, Andrey Kuc, Alexander Udoratina, Anna Grubov, Vadim Kolchina, Anna Kurkin, Semen Kazantsev, Victor Hramov, Alexander Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Mathematics and Mechanics Department Lobachevsky State University of Nizhny Novgorod Nizhny Novgorod Russia Center for Neurotechnology and Machine Learning Immanuel Kant Baltic Federal University Kaliningrad Russia Neurotechnology Department Lobachevsky State University of Nizhny Novgorod Nizhny Novgorod Russia Neuroscience and Cognitive Technology Lab. Innopolis University Innopolis Russia Nizhny Novgorod Russia

ISBN: (数字)9781665461740

ISBN: (纸本)9781665461740

Our preliminary behavioral experiments suggest that the response time decreases when subjects respond to the repeatedly presented visual stimuli. A potential explanation is that the brain preactivates neural ensembles responsible for stimulus processing. If so, activating these areas before the experiment may reduce the response time immediately, opening ways for exciting practical applications. To test this opportunity, we apply transcranial magnetic stimulation (TMS) before the subjects start performing a perceptual decision-making task. Having compared the response time between the TMS and control groups, we observed a significant change confirming our hypothesis. © 2022 IEEE.

关键词： Decision making

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External stimulus classification by Hodgkin-Huxley neural network

External stimulus classification by Hodgkin-Huxley neural ne...

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

作者： Andreev, Andrey V. Pisarchik, Alexander N. Neuroscience and Cognivite Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Universitetskaya Str. 1 Innopolis420500 Russia Center for Biomedical Technology Technical University of Madrid Campus Montegancedo Pozuelo de Alarcon28223 Spain

ISBN: (数字)9781510645332

ISBN: (纸本)9781510645325

We propose to use the chimera-like state for stimulus classification in a spiking neural network of bistable HH neurons. As a stimulus, we use an external pulsed current applied to the network. Additive noise makes the neurons nonidentical so that the external pulse switches only a part of the neurons from the resting to the oscillatory state depending on the pulse amplitude. For classification, we use the neural network and two output neurons. The network is trained on two external pulses with different amplitudes to adjust coupling strengths between neurons in the main network and output neurons. We investigate influence of inhibitory coupling between output neurons on classification of input signal with different amplitudes. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Neurons

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Analysis of the features of brain neuronal sources during imagery motor activity: MEG study 4

Analysis of the features of brain neuronal sources during im...

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

作者： Kurkin, Semen Chholak, Parth Pisarchik, Alexander Hramov, Alexander Innopolis University Neuroscience and Cognitive Technology Lab Center for Technologies in Robotics and Mechatronics Components Russia Technical University of Madrid Center for Biomedical Technology Madrid Spain

ISBN: (纸本)9781728172866

We analyzed the features of motor imagery (imagery arms movements) in the source level, applying the Dynamic Imaging of Coherent Sources method to MEG signals. We obtained the results that have confirmed the existence of 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. © 2020 IEEE.

关键词： Brain

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Chimera-like state in ensemble of bistable neurons

Chimera-like state in ensemble of bistable neurons

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2020 International Conference Nonlinearity, Information and robotics, NIR 2020

作者： Andreev, Andrey Frolov, Nikita Alexandrova, Natalija Chaban, Marija Innopolis University Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis Russia Saratov State University Faculty of Information Technologies Saratov Russia

ISBN: (纸本)9781728187631

We investigate the nonlinear dynamics of a neural network. As a model of a neuron, we use Hodgkin-Huxley mathematical model. We choose the neuron's parameters corresponding to a bistable region in which both fixed point and limit cycle are coexisting. We discover that depending on external current and coupling strength we can achieve a chimera-like state when one part of the neurons is in the resting state, while the other one is in the oscillatory regime in a certain area of coupling strength and external current amplitude. © 2020 IEEE.

关键词： Neurons

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Transformation of the Theta-band Functional Connectivity during Motor Initiation under Healthy Aging 4

Transformation of the Theta-band Functional Connectivity dur...

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

作者： Frolov, Nikita Pitsik, Elena Schukovskii, Nikolaj Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Saratov State Medical University Saratov Russia

ISBN: (纸本)9781728172866

Human brain functioning is strongly affected by the factor of age, which crucially reduces a performance of the motor system. It causes a decline in reaction time, degraded ability to execute and control complex motor actions, low flexibility in learning new skills. A reduced daily activity old people combined with a cognitive and motor decline, usually result in a developed ambidexterity, i.e., the loss of a dominant limb advances. We suggest that such weakening of a dominant limb abilities and functioning on the neuronal level should be observed not only during the exact motor execution phase, but also in the motor initiation. In this paper we apply functional connectivity analysis to reveal the age-related changes in the integrative brain dynamic during the motor initiation before the dominant hand movements accompanied. Analyzing the whole-scalp electroencephalography (EEG) signals on the sensor level, we find higher theta-band coupling in the ipsilateral hemisphere. © 2020 IEEE.

关键词： Electroencephalography

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Classification of external signal by spiking neural network of bistable Hodgkin-Huxley neurons 4

Classification of external signal by spiking neural network ...

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

作者： Andreev, Andrey Pisarchik, Alexander Innopolis University Neuroscience and Cognivite Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis Russia Center for Biomedical Technology Technical University of Madrid Madrid Spain

ISBN: (纸本)9781728172866

We propose a classifier consisting of Hodgkin-Huxley neurons based on the activation of a different number of neurons depending on the external current amplitude. We consider a network with 2 output neurons and train the classifier for 2 external current pulses with different amplitudes by adaptation of the couplings between neurons of the main network and the output neurons. © 2020 IEEE.

关键词： Neural networks

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Control of actuators with linearized variable stiffness

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IFAC-PapersOnLine 2019年第13期52卷 713-718页

作者： Savin, Sergei Khusainov, Ramil Klimchik, Alexandr Innopolis University Center for Technologies in Robotics and Mechatronics Components 420500 Universitetskaya St 1 Innopolis Russia

In this paper, a new model of variable stiffness actuators (VSA) is presented. In the proposed model, the stiffness and deformation of the elastic element can be controlled independently. The structure of the model allows the use of optimal control methods, such as linear quadratic regulator, as is demonstrated in the paper. The model can be used in studying mechanical systems with VSA and in control design for such systems. In order to connect controllers designed for the proposed model with actual VSA, a map of control actions is needed. Such map is provided for the case of Qbmove bidirectional antagonistic VSA. © 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Stiffness Actuators Linearization Machine design Control actions Elastic element Linear quadratic regulator Mechanical systems Model based controls Optimal control methods Optimal controls Variable stiffness

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Attention state of children during Schulte tables task

Attention state of children during Schulte tables task

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2020 International Conference Nonlinearity, Information and robotics, NIR 2020

作者： Grubov, Vadim Maksimenko, Vladimir Kurkin, Semen Khramova, Marina Aleksandrova, Natalya Hramov, Alexander Center for Technologies in Robotics and Mechatronics Components Innopolis University Neuroscience and Cognitive Technology Lab Russia Saratov State University Faculty of Computer Science Saratov Russia

ISBN: (纸本)9781728187631

We have analyzed EEG signals of children during cognitive load of specific type in order to estimate level of attention during this task. EEG signals were recorded in accordance with proposed design of experiment. For obtained EEG data we have analyzed behavioral characteristics as well as EEG-related characteristics. We have found that behavioural characteristic changes through the task, so may the attention level. We have also found that cognitive task completion is accompanied by appearance of spatial structure-specific distribution of wavelet energy across cortex, which partially changes during completion of the task as well. We believe that changes in attention level are tied to changes in energy distribution, so we suggest this distribution to be used as the marker for attention state estimation. © 2020 IEEE.

关键词： Electroencephalography

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Propellerless aquatic robots 23rd

Propellerless aquatic robots

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23rd International Conference on Climbing and Walking Robots and the Support technologies for Mobile Machines, CLAWAR 2020

作者： Klekovkin, Anton V. Mamaev, Ivan S. Vetchanin, Evgeny V. Tenenev, Valentin A. Karavaev, Yury L. Kalashnikov Izhevsk State Technical University Izhevsk Russia Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Udmurt State University Izhevsk Russia

ISBN: (纸本)9781916449046

This paper is devoted to investigations of the motion of the propellerless aquatic robots. There are two models of aquatic robots under consideration that move due to rotation of internal rotors. Mathematical models to describe the motion of the robots are proposed. Experiments with different control actions for fabricated prototypes to verify mathematical models have been conducted. © CLAWAR Association Ltd.

关键词： Robots

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