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8th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2024

作者： Zharinov, Alexey I. Potapov, Ivan A. Kazantsev, Victor B. Lobov, Sergey A. Neurotechnology Dept. Lobachevsky State University Nizhny Novgorod Russia Center For Neurotechnology and Machine Learning Baltic Center For Neurotechnology and Artificial Intelligence Kaliningrad Russia Baltic Center For Neurotechnology and Artificial Intelligence Immanuel Kant Baltic Federal University Kaliningrad Russia

ISBN: (纸本)9798350390834

The use of central rhythm generators (CPGs) as control systems has recently received more and more attention. Such systems allow us to solve the problem of path prediction. They have higher stability. However, there are a number of problems in designing successful and working systems such as a real robot - CPG. For example, it is necessary to synchronize the operating time of the CPG model and the actuator. There are also difficulties with using CPG on different robots. Even when modeling robots with similar prototypes: fish, salamanders, snakes, it is necessary not only to change the number of segments of the control system to control the actuators, but also to completely change the operating parameters of the CPG for proper interaction with the environment. Next, we demonstrate a CPG capable of controlling a virtual robot fish and a ground robot snake. The model is capable of moving forward and turning left and right. It is possible to connect external sensors to transmit information about an obstacle to the system and perform a turn under its influence. © 2024 IEEE.

关键词： Problem solving

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Connection between CPG model and servomotor of biomorphic fish robot 8

Connection between CPG model and servomotor of biomorphic fi...

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8th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2024

作者： Potapov, Ivan A. Zharinov, Alexey I. Lobov, Sergey A. Mitin, Ilya V. Center For Neurotechnology and Machine Learning Immanuel Kant Baltic Federal University Kaliningrad Russia Neurotechnology Dept. Lobachevsky State University Nizhny Novgorod Russia

ISBN: (纸本)9798350390834

Most animal species locomotion is based on neuronal structures that called central pattern generators (CPG). Locomotor control carried out using such structures has some beneficial features that are useful to apply in robotics. However, the output signal generated by neurons is of a spiking nature, which is suitable for muscle control in animals, but not so suitable for controlling robot servomotors. In this work, we propose a method to connect the neural activity of a spiking neuron CPG model with the propulsion of a biomorphic fishlike robot. The signal transmitted to the robot's servo is a sinusoid-like curve obtained by converting the muscle contraction variables of our model. Such a signal is well suited for servo control, and at the same time retains such features of CPG as resistance to short-term disturbances in network dynamics and the ability to smoothly modulating. © 2024 IEEE.

关键词： Servomotors

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Analysis of the Cognitive Load in Sternberg’s Problem in an Eye-Tracker Study

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Bulletin of the Russian Academy of Sciences: Physics 2023年第1期87卷 105-107页

作者： Brusinsky, N.A. Badarin, A.A. Andreev, A.V. Antipov, V.M. Kurkin, S.A. Hramov, A.E. Center for Neurotechnology and Machine Learning Immanuel Kant Baltic Federal University Kaliningrad236041 Russia Innopolis University Tatarstan Innopolis420500 Russia

Abstract: A study is performed of the physiology and behavior of a person during prolonged solving of a cognitive task based on Sternberg’s paradigm. A correlation is found between subjective fatigue and such physiological characteristics as blink duration and pupil size range of motion while solving the task. © 2023, Allerton Press, Inc.

关键词： Eye tracking

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Model of a central pattern generator using a spiking neural network, included different types of neurons 7

Model of a central pattern generator using a spiking neural ...

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7th Scientific School: Dynamics of Complex Networks and their Applications, DCNA 2023

作者： Potapov, Ivan A. Zharinov, Alexey I. Lobov, Sergey A. Kazantsev, Victor B. Immanuel Kant Baltic Federal University Center for Neurotechnology and Machine Learning Kaliningrad Russia Lobachevsky State University Neurotechnology Dept. Nizhny Novgorod Russia

ISBN: (纸本)9798350305746

The performance of various locomotor acts in animals is ensured by the central pattern generators (CPG). The CPG is an efficient system that is capable of independent generation of activity patterns, while the operation of the CPG can be corrected due to sensory feedback. Such properties of CPG are successfully used in robotics. In this paper, we propose a half-central CPG model using Izhikevich neurons. We selected some parameters for CPG neurons, thereby obtaining membrane properties that are close to those of real brain cell membranes that were found in natural neuronal networks. The pacemaker neuron is responsible for generating the rhythm in the network, it is able to generate spikes with a frequency range of 0.3-7.7 Hz, depending on the input signal, which affects the speed of the locomotor cycle. The model is implemented in the Arduino software environment, and in the future, it can be interfaced with a robotic installation that performs rhythmic locomotor patterns. © 2023 IEEE.

关键词： Neural networks

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Repetitive TMS reduces reaction time and increases accuracy in a working memory test 6

Repetitive TMS reduces reaction time and increases accuracy ...

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6th International Conference "Neurotechnologies and Neurointerfaces", CNN 2024

作者： Grigorev, Nikita Kandalov, Igor Gordleeva, Susanna Neurotechnology Department Lobachevsky State University of Nizhny Novgorod Nizhny Novgorod Russia ANO Neymark Nizhny Novgorod Russia Center for Neurotechnology and Machine Learning Immanuel Kant Baltic Federal University Kaliningrad Russia

ISBN: (纸本)9798350390926

Transcranial magnetic stimulation (TMS) is gaining increasing popularity as a therapeutic method used in clinical practice. The use of this method to improve cognitive functions has already been studied in a number of studies. The goal of this work is to show the potential of repetitive TMS (rTMS) in improving visual perception of objects and thus working memory. Twelve healthy subjects underwent testing of working memory in the modified Bernstein test in two experimental conditions: after rTMS of the Brodmann area 19 (BA 19) and after sham rTMS. The results demonstrate an increase in both reaction speed during responses and increased correctness of responses after rTMS of BA 19. ©2024 IEEE.

关键词： Magnetic recording

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The development of lifting force in flapping wing robots with variable angle of attack 8

The development of lifting force in flapping wing robots wit...

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8th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2024

作者： Kovalev, Nickolay Khabibullin, Farit Guba, Artem Klyuev, Konstantin Shchapin, Vladimir Kastalskiy, Innokentiy Kazantsev, Victor Laboratory of Neurobiomorphic Technologies Moscow Institute of Physics and Technology Moscow Russia Center for Neurotechnology and Machine Learning Immanuel Kant Baltic Federal University Kaliningrad Russia Neurotechnology Dept. Lobachevsky University Nizhny Novgorod Russia

ISBN: (纸本)9798350390834

Ornithopters, a distinctive class of aircrafts, emulate the wing flapping of birds, bats, and insects. Unlike traditional airplanes, helicopters, and quadcopters, ornithopters generate lift and thrust through the active flapping motion of their wings. This design offers advantages in efficiency, economy, and versatility, while also being significantly quieter than conventional aerial vehicles. Unusual qualities make ornithopters an attractive prospect for different applications, particularly for manned and unmanned aircrafts. Furthermore, this approach has the potential to be integrated with systems that simulate neural circuit activity in the brain, enabling the realization of motor control. This study employed an experimental setup to gather measurements from two models of robotic bird. The results revealed a direct correlation between the wing attack angle and the lift force generated by ornithopters. Specifically, increasing the attack angle resulted in a corresponding increase in lift force in both static and dynamic experiments. The research on ornithopters and motor control of flight holds immense potential for advancing aviation and neurotechnology. Future research avenues could focus on optimizing biomimetic robotic bird design and construction to enhance its efficiency and performance. © 2024 IEEE.

关键词： Birds

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Conceptual model of a robotic bird with independent flapping wings and adjustable wingspan 6

Conceptual model of a robotic bird with independent flapping...

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6th International Conference "Neurotechnologies and Neurointerfaces", CNN 2024

作者： Kastalskiy, Innokentiy Mitin, Ilya Kazantsev, Victor Laboratory of neurobiomorphic technologies Moscow Institute of Physics and Technology Moscow Region Dolgoprudny Russia Neurotechnology Dept. Lobachevsky University Nizhny Novgorod Russia Center for Neurotechnology and Machine Learning Immanuel Kant Baltic Federal University Kaliningrad Russia

ISBN: (纸本)9798350390926

A promising direction in intelligent robotics is the use of bio-inspired approach. A prime example is the implementation of flight using wing flapping. This method of movement, optimized by evolution, is silent and does not disrupt the environment. It is well-suited for discreet monitoring of territories. The aerodynamics of flight and the mechanisms of motor control are being carefully studied to create biomorphic aircraft that mimic real birds in shape, appearance, and flight methods. However, developing effective propulsion systems that imitate biological organisms in flight remains unresolved. Meanwhile, the development of neurocontrol algorithms based on spiking neural network technologies is at the forefront of modern science. The combination of energy-efficient type of communications, adaptive motor pattern fine-tuning through sensory input, and a biologically realistic control system structure makes neurocontrol in flapping-wing robotic systems an extremely promising direction. Our research focused on designing a robotic bird sample with optimized structural layout, incorporating real bird features and providing an opportunity for agile neural control based on biologically inspired spiking neural networks. ©2024 IEEE.

关键词： Birds

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Synchronization in Interacting Networks of Hodgkin–Huxley Neurons

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Bulletin of the Russian Academy of Sciences: Physics 2022年第2期86卷 221-225页

作者： Andreev, A.V. Maksimenko, V.A. Badarin, A.A. Grubov, V.V. Hramov, A.E. Center for Neurotechnology and Machine Learning Immanuel Kant Baltic Federal University Kaliningrad236041 Russia Razumovsky State Medical University Saratov410012 Russia

Abstract: A mathematical model of a "network of networks" is developed. The model consists of a small input network and four large subnetworks that interact with one another via inhibitory couplings. This model is an attempt to model processes that occur in real neural networks in similar processing of input information. It is shown the indices of synchronization of subnetworks periodically change in time. Depending on the strength of the connection, the indices of synchronization of neurons of different subnetworks can change in both phase and antiphase. © 2022, Allerton Press, Inc.

关键词： Synchronization

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Mechanical Feedback Variant in BCI 5

Mechanical Feedback Variant in BCI

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5th International Conference Neurotechnologies and Neurointerfaces, CNN 2023

作者： Gordleeva, Susanna Grigorev, Nikita Savosenkov, Andrey Udoratina, Anna Kiselev, Anton Antipov, Vladimir Badarin, Artem National Medical Research Center for Therapy and Preventive Medicine Coordinating Center for Fundamental Research Moscow Russia Lobachevsky State University of Nizhny Novgorod Neurotechnology Department Nizhny Novgorod Russia Immanuel Kant Baltic Federal University Center for Neurotechnology and Machine Learning Kaliningrad Russia

ISBN: (纸本)9798350344059

The modern paradigm of neurorehabilitation of post-stroke patients includes ideomotor training using feedback of various modalities. Exoskeletons are a promising, but extremely immobile and expensive option for providing feedback. In this work, we tested mechanical feedback suitable for both hands. 6 subjects 22-33 years old took part in the tests. Training was carried out with a neural interface that controls the operation of the mechanical feedback prototype for right and left hands. The results of classification accuracy were achieved: 80±12.6% (mean±standard deviation) for the right hand;83±10.4% for the left hand. As a result of the tests, the complex of the neural interface and the mechanical feedback showed full functional ability. © 2023 IEEE.

关键词： Feedback

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Time of single-pulse TMS delivery during cognitive task affects subject’s reaction time 6

Time of single-pulse TMS delivery during cognitive task affe...

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6th International Conference "Neurotechnologies and Neurointerfaces", CNN 2024

作者： Udoratina, Anna Grigorev, Nikita Savosenkov, Andrey Ermolaev, Denis Maksimenko, Vladimir Gordleeva, Susanna Neurotechnology Department Lobachevsky State University of Nizhny Novgorod Nizhny Novgorod Russia ANO Neimark Nizhny Novgorod Russia Neurotechnology Department Lobachevsky State University of NizhnyNovgorod Nizhny Novgorod Russia 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

ISBN: (纸本)9798350390926

In the present study, we investigated the effect of single-pulse TMS on sensorimotor integration (SI). Real and sham TMS was delivered while a subject performed a cognitive task to 6 areas of the cortex responsible for the motor component of SI, 200 ms or 800 ms after the presentation of visual stimuli. Here we show that the time of single-pulse TMS delivery affects the subject’s reaction time (RT). RT was significantly slower (p ©2024 IEEE.

关键词： Brain

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