Pub Date : 2022-09-14DOI: 10.1109/DCNA56428.2022.9923302
O. Telminov, Eugeny Gornev
Extensive development of new neuromorphic element base – non-volatile memory elements based on new physical principles (ReRAM, FRAM etc.) is conducted. These memory elements are used to implement programmable synaptic weights in crossbar architecture, and enable neural network to conduct in-memory computations. However, the sneak currents and leakage currents are a serious limitation on the achievable dimensionality of rows and columns of the crossbar. The features of the implementation of neural networks on memristor crossbars are considered.
{"title":"Possibilities and Limitations of Memristor Crossbars for Neuromorphic Computing","authors":"O. Telminov, Eugeny Gornev","doi":"10.1109/DCNA56428.2022.9923302","DOIUrl":"https://doi.org/10.1109/DCNA56428.2022.9923302","url":null,"abstract":"Extensive development of new neuromorphic element base – non-volatile memory elements based on new physical principles (ReRAM, FRAM etc.) is conducted. These memory elements are used to implement programmable synaptic weights in crossbar architecture, and enable neural network to conduct in-memory computations. However, the sneak currents and leakage currents are a serious limitation on the achievable dimensionality of rows and columns of the crossbar. The features of the implementation of neural networks on memristor crossbars are considered.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129164472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-14DOI: 10.1109/DCNA56428.2022.9923232
Aleksandr Kovalchukov, Alexander L. Fradkov
Model identification problem for the 3rd order Hindmarsh-Rose system with measurable output is considered. Sufficient conditions are obtained and proved. Numerical modeling is performed. Results of numerical experiments are in compliance with theory and restrictions of the method are investigated.
{"title":"Speed-Gradient approach to Hindmarsh-Rose model identification based on membrane potential measurements","authors":"Aleksandr Kovalchukov, Alexander L. Fradkov","doi":"10.1109/DCNA56428.2022.9923232","DOIUrl":"https://doi.org/10.1109/DCNA56428.2022.9923232","url":null,"abstract":"Model identification problem for the 3rd order Hindmarsh-Rose system with measurable output is considered. Sufficient conditions are obtained and proved. Numerical modeling is performed. Results of numerical experiments are in compliance with theory and restrictions of the method are investigated.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122992828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-14DOI: 10.1109/DCNA56428.2022.9923129
V. Antipov, Artem Badarin, V. Grubov
This paper is devoted to the development of effective methods for assessing a person’s ability to learn new information based on the neurophysiological activity of the brain, as well as the creation of brain-computer neurointerfaces for testing the knowledge obtained and implementing this methodology in the educational process.
{"title":"Investigation of brain activity characteristics during working memory activation for multimodal stimuli","authors":"V. Antipov, Artem Badarin, V. Grubov","doi":"10.1109/DCNA56428.2022.9923129","DOIUrl":"https://doi.org/10.1109/DCNA56428.2022.9923129","url":null,"abstract":"This paper is devoted to the development of effective methods for assessing a person’s ability to learn new information based on the neurophysiological activity of the brain, as well as the creation of brain-computer neurointerfaces for testing the knowledge obtained and implementing this methodology in the educational process.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115240111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-14DOI: 10.1109/DCNA56428.2022.9923281
Nikita Brusinskii, Artem Badarin, A. Hramov
Oculomotor activity is an important component of human mental processes, and decoding this activity can be applied in many applied fields. This paper analyzed the physiological and behavioral characteristics of a person during a prolonged solution of a cognitive task based on the Sternberg paradigm. A number of trends in changes in both physiological and behavioral characteristics over the course of the experiment were revealed. For example, an increase in subjective fatigue over the course of the experiment. In addition, correlation analysis were performed. In particular, a correlation was found between subjective fatigue and the amplitude of pupil dilation during letter set demonstrations.
{"title":"Eye movement features in solving Sternberg Memory Task","authors":"Nikita Brusinskii, Artem Badarin, A. Hramov","doi":"10.1109/DCNA56428.2022.9923281","DOIUrl":"https://doi.org/10.1109/DCNA56428.2022.9923281","url":null,"abstract":"Oculomotor activity is an important component of human mental processes, and decoding this activity can be applied in many applied fields. This paper analyzed the physiological and behavioral characteristics of a person during a prolonged solution of a cognitive task based on the Sternberg paradigm. A number of trends in changes in both physiological and behavioral characteristics over the course of the experiment were revealed. For example, an increase in subjective fatigue over the course of the experiment. In addition, correlation analysis were performed. In particular, a correlation was found between subjective fatigue and the amplitude of pupil dilation during letter set demonstrations.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115781555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-14DOI: 10.1109/DCNA56428.2022.9923162
M. Brovkova, O. Torgashova, O. V. Ushakova, V. Martynov, M. A. Solomin
The work proposes to use a mathematical model of the Timoshenko beam to evaluate the cutting force in monitoring equipment wear. It is proposed to use the Kalman filtering procedure as a cutting force identification algorithm. The identified signal is used to apply tool wear evaluation criteria.
{"title":"The cutting force signal identification of the milling machine spindle assembly for monitoring equipment wear","authors":"M. Brovkova, O. Torgashova, O. V. Ushakova, V. Martynov, M. A. Solomin","doi":"10.1109/DCNA56428.2022.9923162","DOIUrl":"https://doi.org/10.1109/DCNA56428.2022.9923162","url":null,"abstract":"The work proposes to use a mathematical model of the Timoshenko beam to evaluate the cutting force in monitoring equipment wear. It is proposed to use the Kalman filtering procedure as a cutting force identification algorithm. The identified signal is used to apply tool wear evaluation criteria.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131518447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-14DOI: 10.1109/DCNA56428.2022.9923223
A. Alimuradov, A. Tychkov, P. Churakov, D. S. Dudnikov
The accuracy of speech signal segmentation depends directly on the parameters used to determine the boundaries of the beginning and the end of informative fragments in a continuous speech stream. The purpose of the work is to increase the efficiency of speech/pause segmentation due to the frequency-time analysis of speech signals. A novel original approach to speech/pause segmentation based on the analysis of the values of the mean frequency (in the frequency domain) and short-term energy of the Teager operator function (in the time domain) is proposed. The proposed approach is unique due to an auxiliary algorithm to correct speech/pause segmentation errors, developed on the basis of physiological functioning of the respiratory apparatus organs during the formation of a continuous speech stream. A brief overview of speech signal informative parameters used for speech/pause segmentation has been presented, and the proposed approach performance has been detailed. The suggested approach has been compared with the known methods of speech/pause segmentation for pure and noisy speech signals. The research findings have evidenced the best results of speech/pause segmentation for pure and noisy speech signals being achieved by the methods based on the proposed approach; the ratio of the short-term energy of the Teager operator function to the mean frequency as an informative parameter ensuring maximum relevance to the segmentation problem; an auxiliary algorithm to correct false states enhancing the efficiency of segmentation.
{"title":"A Novel Approach to Speech Signal Segmentation Based on Time-Frequency Analysis","authors":"A. Alimuradov, A. Tychkov, P. Churakov, D. S. Dudnikov","doi":"10.1109/DCNA56428.2022.9923223","DOIUrl":"https://doi.org/10.1109/DCNA56428.2022.9923223","url":null,"abstract":"The accuracy of speech signal segmentation depends directly on the parameters used to determine the boundaries of the beginning and the end of informative fragments in a continuous speech stream. The purpose of the work is to increase the efficiency of speech/pause segmentation due to the frequency-time analysis of speech signals. A novel original approach to speech/pause segmentation based on the analysis of the values of the mean frequency (in the frequency domain) and short-term energy of the Teager operator function (in the time domain) is proposed. The proposed approach is unique due to an auxiliary algorithm to correct speech/pause segmentation errors, developed on the basis of physiological functioning of the respiratory apparatus organs during the formation of a continuous speech stream. A brief overview of speech signal informative parameters used for speech/pause segmentation has been presented, and the proposed approach performance has been detailed. The suggested approach has been compared with the known methods of speech/pause segmentation for pure and noisy speech signals. The research findings have evidenced the best results of speech/pause segmentation for pure and noisy speech signals being achieved by the methods based on the proposed approach; the ratio of the short-term energy of the Teager operator function to the mean frequency as an informative parameter ensuring maximum relevance to the segmentation problem; an auxiliary algorithm to correct false states enhancing the efficiency of segmentation.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131075655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-14DOI: 10.1109/DCNA56428.2022.9923277
D. Verveyko, A. Verisokin, A. Brazhe, Maxim N. Prudkin
Astrocytes can enhance and mediate the effects of norepinephrine on neuronal activity. Norepinephrine projections from locus coeruleus innervate many brain structures, including the cortex, hippocampus and cerebellum, where this neurotransmitter is released from axon boutons extrasynaptically, thus forming a broadcasting neuromodulating signaling. Interaction of norepinephrine with metabotropic adrenoreceptors on the astrocytic membrane leads to increased calcium signaling with downstream effects on efficacy of local synaptic signaling. We propose a simple theoretical model that takes into account neuroastrocytic interaction, focused on the influence of norepinephrine regulation of astrocytic dynamics. A comparative analysis of the formation of calcium waves during spontaneous calcium activity taking into account norepinephrine regulation was carried out.
{"title":"Broadcasting to noisy boosters: modulation of astrocytic calcium activity and gliotransmitter release by norepinephrine","authors":"D. Verveyko, A. Verisokin, A. Brazhe, Maxim N. Prudkin","doi":"10.1109/DCNA56428.2022.9923277","DOIUrl":"https://doi.org/10.1109/DCNA56428.2022.9923277","url":null,"abstract":"Astrocytes can enhance and mediate the effects of norepinephrine on neuronal activity. Norepinephrine projections from locus coeruleus innervate many brain structures, including the cortex, hippocampus and cerebellum, where this neurotransmitter is released from axon boutons extrasynaptically, thus forming a broadcasting neuromodulating signaling. Interaction of norepinephrine with metabotropic adrenoreceptors on the astrocytic membrane leads to increased calcium signaling with downstream effects on efficacy of local synaptic signaling. We propose a simple theoretical model that takes into account neuroastrocytic interaction, focused on the influence of norepinephrine regulation of astrocytic dynamics. A comparative analysis of the formation of calcium waves during spontaneous calcium activity taking into account norepinephrine regulation was carried out.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114701818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-14DOI: 10.1109/DCNA56428.2022.9923280
A. Karavaev, Yurii M. Ishbulatov, Tatiana S. Bibicheva, V. Gridnev, M. Prokhorov, Marina V. Ogneva, A. Kiselev
healthy heart rate is irregular, and numerical measures of its complexity, such as the largest Lyapunov exponent and the correlation dimension, are perspective early markers of cardiovascular diseases. However, the origin of irregularity in the cardiovascular system is still debated, which makes it harder to give the physiological interpretation to the complexity measures. According to a prominent hypothesis, the nonlinear bi-directional cardiovascular coupling could be a source of the complexity, but experimental investigation of this theory is limited by the limitation of modern measuring equipment, nonstationarity of real biological signals, and very strict restrictions on the designs of the active experiments imposed to insure the safety of the subjects. We investigated the role of bidirectional cardiovascular coupling using a mathematical model of cardiovascular system and respiratory systems. We simulated an active experiment with the blockade of the autonomic control of respiration, which disturbed the coupling, and then measured changes in the dynamics of the cardiovascular system using spectral analysis, statistical analysis and complexity measures.
{"title":"Role of the Bidirectional Cardiorespiratory Coupling in the Nonlinear Dynamics of the Cardiovascular System","authors":"A. Karavaev, Yurii M. Ishbulatov, Tatiana S. Bibicheva, V. Gridnev, M. Prokhorov, Marina V. Ogneva, A. Kiselev","doi":"10.1109/DCNA56428.2022.9923280","DOIUrl":"https://doi.org/10.1109/DCNA56428.2022.9923280","url":null,"abstract":"healthy heart rate is irregular, and numerical measures of its complexity, such as the largest Lyapunov exponent and the correlation dimension, are perspective early markers of cardiovascular diseases. However, the origin of irregularity in the cardiovascular system is still debated, which makes it harder to give the physiological interpretation to the complexity measures. According to a prominent hypothesis, the nonlinear bi-directional cardiovascular coupling could be a source of the complexity, but experimental investigation of this theory is limited by the limitation of modern measuring equipment, nonstationarity of real biological signals, and very strict restrictions on the designs of the active experiments imposed to insure the safety of the subjects. We investigated the role of bidirectional cardiovascular coupling using a mathematical model of cardiovascular system and respiratory systems. We simulated an active experiment with the blockade of the autonomic control of respiration, which disturbed the coupling, and then measured changes in the dynamics of the cardiovascular system using spectral analysis, statistical analysis and complexity measures.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114927488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-14DOI: 10.1109/DCNA56428.2022.9923138
E. Borovkova, A. Hramkov, Elizaveta S. Dubinkina, A. Karavaev, B. Bezruchko, M. Prokhorov
The development of a new biomarker for diagnosing the psychophysiological state of a person based on the control of the characteristics of the interaction between brain structures and elements of the autonomous control of blood circulation is an important and open issue. For 30 healthy young men, we performed synchronous recording of electroencephalogram (EEG) and photoplethysmogram (PPG) signals during rest and episodic stress, implemented using Stroop color word test and mental arithmetic test. During episodic stress, a statistically significant $(text{p}lt 0.05)$ increase in the power of low-frequency (LF) oscillations (0.04-0.14 Hz) and a decrease in the power of high-frequency (HF) oscillations (0.14-0.40 Hz) of the EEG derivation signals of the left and right hemispheres were revealed; drop in coherence between EEG oscillations of the left and right hemispheres in the LF frequency range; an increase in coherence between the EEG oscillations of the left and right hemispheres and the PPG signal in the LF frequency range. The performance of the calculated characteristics for the classification of stress and rest situations is shown.
{"title":"Changes in the Interaction Between Brain Structures and Elements of the Autonomic Control of Blood Circulation During the Solution of Cognitive Tasks","authors":"E. Borovkova, A. Hramkov, Elizaveta S. Dubinkina, A. Karavaev, B. Bezruchko, M. Prokhorov","doi":"10.1109/DCNA56428.2022.9923138","DOIUrl":"https://doi.org/10.1109/DCNA56428.2022.9923138","url":null,"abstract":"The development of a new biomarker for diagnosing the psychophysiological state of a person based on the control of the characteristics of the interaction between brain structures and elements of the autonomous control of blood circulation is an important and open issue. For 30 healthy young men, we performed synchronous recording of electroencephalogram (EEG) and photoplethysmogram (PPG) signals during rest and episodic stress, implemented using Stroop color word test and mental arithmetic test. During episodic stress, a statistically significant $(text{p}lt 0.05)$ increase in the power of low-frequency (LF) oscillations (0.04-0.14 Hz) and a decrease in the power of high-frequency (HF) oscillations (0.14-0.40 Hz) of the EEG derivation signals of the left and right hemispheres were revealed; drop in coherence between EEG oscillations of the left and right hemispheres in the LF frequency range; an increase in coherence between the EEG oscillations of the left and right hemispheres and the PPG signal in the LF frequency range. The performance of the calculated characteristics for the classification of stress and rest situations is shown.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129100719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-14DOI: 10.1109/DCNA56428.2022.9923111
Miroshnikov Andrei, L. Yakovlev, Artemiy Berkmush-Antipova, N. Syrov, Alexander Kaplan, N. Shusharina
In this study we present the results of mu range event-related desynchronization/synchronization (ERD/S) source estimations. ERD was provoked by tactile stimulation (TS) or tactile imagery (TI), the electroencephalography (EEG) data were acquired with the high-density EEG (hdEEG), and the inverse problem was solved by using the sLORETA method. The results of source estimation have shown that both TS and TI lead to significant mu range ERD with its sources localized in sensorimotor cortex, which points to that tactile imagery shares the neuronal substrate of tactile perception.
{"title":"Source localization during tactile stimulation and imagery of the upper limbs","authors":"Miroshnikov Andrei, L. Yakovlev, Artemiy Berkmush-Antipova, N. Syrov, Alexander Kaplan, N. Shusharina","doi":"10.1109/DCNA56428.2022.9923111","DOIUrl":"https://doi.org/10.1109/DCNA56428.2022.9923111","url":null,"abstract":"In this study we present the results of mu range event-related desynchronization/synchronization (ERD/S) source estimations. ERD was provoked by tactile stimulation (TS) or tactile imagery (TI), the electroencephalography (EEG) data were acquired with the high-density EEG (hdEEG), and the inverse problem was solved by using the sLORETA method. The results of source estimation have shown that both TS and TI lead to significant mu range ERD with its sources localized in sensorimotor cortex, which points to that tactile imagery shares the neuronal substrate of tactile perception.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121007019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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