Публикации
Рус | Англ
2024
Piljugin O.
Functional Brain Network Analysis in Children Performing Working Memory Tasks: EEG Study.
2024 8th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2024)
184-186
DOI: 10.1109/DCNA63495.2024.10718499.
Grubov V.
Extreme events in epilepsy.
2024 8th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2024)
83-86
DOI: 10.1109/DCNA63495.2024.10718538.
Kuc A., Grubov V., Badarin A.
Using long-range temporal correlations in the brain to predict intellectual development in children.
2024 8th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2024)
142-144
DOI: 10.1109/DCNA63495.2024.10718435.
Brusinskii N., Antipov V., Badarin A.
Detection of Eye Movement Characteristics Using Reservoir Computing in High-Noise Environments.
2024 8th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2024)
36-38
DOI: 10.1109/DCNA63495.2024.10718626.
Pisarchik A.N., Serrano N.P. Jaimes-Reategui R.
Brain Connectivity Hypergraphs.
2024 8th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2024)
190-193
DOI: 10.1109/DCNA63495.2024.10718518.
Nazarikov S., Vertinskaya O., Grubov V.
Cascade CNN-based model for epileptic seizure diagnostics.
2024 8th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2024)
178-180
DOI: 10.1109/DCNA63495.2024.10718573.
Kulagin N., Andreev A., Hramov A.
Reservoir computing shows partial statistical dynamics prediction of two coupled stochastic FitzHugh-Nagumo neurons.
2024 8th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2024)
145-147
DOI: 10.1109/DCNA63495.2024.10718424.
Antipov V.
Identification of Mechanisms and Biomarkers of Learning Efficiency Based on Multimodal Data.
2024 8th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2024)
16-18
DOI: 10.1109/DCNA63495.2024.10718619.
Antipov V.
Comparison of Wearable Video-based Eye Tracking and EOG for Oculomotor Activity Detection in Specific Research Tasks.
2024 8th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2024)
13-15
DOI: 10.1109/DCNA63495.2024.10718387.
Bukina T.V., Chvanova M.S., Khramova M.V.
Determination of the psychological and pedagogical substantiation of the cognitive functions influence on the development of higher education students’ universal competencies.
(2024)
39-42
DOI: 10.1109/DCNA63495.2024.10718413.
Khorev V., Kurkin S., Mayorova L., Portnova G., Kushnir A.
Network-based approach in fMRI experiment with affective touch.
2024 8th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2024)
115-118
DOI: 10.1109/DCNA63495.2024.10718378.
Kabir M.S. , Kurkin S., Paunova R., Stoyanov D., Hramov A.
HTM Spatial Pooler − a Nonparametric Interpretable Feature Selection Algorithm? An Introductory Exploration.
2024 8th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2024)
106-111
DOI: 10.1109/DCNA63495.2024.10718624.
Andreev A., Badarin A.
Recovery of hidden macroscopic signals in a Kuramoto phase oscillators network.
2024 8th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2024)
10-12
DOI: 10.1109/DCNA63495.2024.10718641.
Nazarikov S., Grubov V., Utashev N., Karpov O.
Two-stage approach based on combination of one-class SVM and CNN for epileptic seizure identification.
2024 8th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2024)
175-177
DOI: 10.1109/DCNA63495.2024.10718447.
Piljugin O. , Antipov V.
The Relationship Between IQ Level and Functional Brain Network Centrality During Cognitive Activity in Children.
2024 8th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2024)
187-189
DOI: 10.1109/DCNA63495.2024.10718554.
Brusinskii N.
Using Brainwave Entropy to Evaluate Visual Search Performance in School-Aged Children.
2024 8th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2024)
34-35
DOI: 10.1109/DCNA63495.2024.10718606.
Khorev V., Kurkin S., Paunova R., Bukina T., Stoyanov D.
Differences in optimal community structure in brain connectivity organization in major depressive disorder.
2024 8th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2024)
119-122
DOI: 10.1109/DCNA63495.2024.10718407.
2023
Bukina T.V., Kurkin S.A., Khramova M.V., Badarin A.A.
Possibilities and features of the elementary cognitive and educational functions development.
2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2023)
62-63
DOI: 10.1109/DCNA59899.2023.10290562.
Gordleeva S., Grigorev N., Udoratina A., Kolchina A., Kurkin S., Savosenkov A., Kiselev A., Antipov V., Badarin A.
Study of cortical characteristics in operators of BCI with tactile feedback.
2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2023)
84-87
DOI: 10.1109/DCNA59899.2023.10290242.
Nazarikov S., Kurkin S.
Two-stage model for epileptic seizures detection on EEG recordings.
2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2023)
201-204
DOI: 10.1109/DCNA59899.2023.10290671.
Piljugin O., Belousova Ya., Badarin A.
Working Memory Test Efficacy Assessment in Patients with Asthenic Syndrome.
2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2023)
212-215
DOI: 10.1109/DCNA59899.2023.10290445.
Pisarchik A.N.
Rotating Wave Dynamics in Rings of Coupled Oscillators: Insights into Working Memory Models.
2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2023)
216-220
DOI: 10.1109/DCNA59899.2023.10290647.
Pitsik E., Grubov V., Zakharov A.
Age-related differences in sensorimotor responce during VR-based task performance: time-frequency analysis and functional connectivity.
2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2023)
221-224
DOI: 10.1109/DCNA59899.2023.10290355.
Antipov V.
Detecting fatigue indicators from electroencephalogram data during prolonged cognitive load.
2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA), Kaliningrad.
(2023)
295-297
DOI: 10.1109/DCNA59899.2023.10290307.
Grubov V.
Concept for epilepsy diagnostics with combined unsupervised outlier detection and supervised data labeling.
2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2023)
88-90
DOI: 10.1109/DCNA59899.2023.10290396.
Khorev V., Kurkin S., Paunova R., Stoyanov D.
Differences in the resting-state functional brain networks of patients with major depressive disorder and bipolar disorder.
2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2023)
123-125
DOI: 10.1109/DCNA59899.2023.10290444.
Khorev V., Kurkin S., Paunova R., Stoyanov D.
Features of the resting-state functional network in patients with major depressive disorder: mutual information analysis in fMRI data.
2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2023)
126-128
DOI: 10.1109/DCNA59899.2023.10290201.
Khoymov M., Grubov V., Kurkin S., Rozhdestvensky A.
Epileptic EEG Labeling with Anomaly Detection Machine Learning Algorithms.
2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2023)
129-132
DOI: 10.1109/DCNA59899.2023.10290359.
Kuc A., Grubov V., Badarin A., Maksimenko V.
Neurophysiological mechanisms of visual sensory information processing in stimuli with high and low ambiguity.
2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2023)
158-160
DOI: 10.1109/DCNA59899.2023.10290391.
Kuc A., Maksimenko V.
The influence of perception bias on behavioral characteristics during the interpretation of bistable sensory information.
2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2023)
161-163
DOI: 10.1109/DCNA59899.2023.10290654.
Kulagin N., Andreev A., Hramov A.
Using reservoir computing for dynamics forecast of noise-perturbed FitzHugh-Nagumo system.
2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2023)
164-166
DOI: 10.1109/DCNA59899.2023.10290689.
Dolgov A., Kurkin S.
Higher-order interactions in functional brain networks in major depressive disorder.
2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2023)
72-74
DOI: 10.1109/DCNA59899.2023.10290352.
Andreev A.
Classification of MDD patients with using network measures.
2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2023)
11-13
DOI: 10.1109/DCNA59899.2023.10290687.
Badarin A.
Hemodynamic response during a short-term memory task.
2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2023)
20-22
DOI: 10.1109/DCNA59899.2023.10290613.
Badarin A., Andreev A.
Reservoir computing allows recovering hidden network dynamics.
2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2023)
23-24
DOI: 10.1109/DCNA59899.2023.10290475.
Brusinskii N., Badarin A.
Attention biomarker based on wave rhythm stability.
2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2023)
49-51
DOI: 10.1109/DCNA59899.2023.10290426.
Gordleeva S., Grigorev N., Savosenkov A., Udoratina A., Kiselev A., Antipov V., Badarin A.
Mechanical Feedback Variant in BCI.
2023 Fifth International Conference Neurotechnologies and Neurointerfaces (CNN).
(2023)
20-22
DOI: 10.1109/CNN59923.2023.10275224.
Tsybina Yu., Kastalskiy I., Andreev A., Frolov N., Gordleeva S., Hramov A.
Epileptiform Activity in a Neuron-Astrocyte Network Model.
2023 Fifth International Conference Neurotechnologies and Neurointerfaces (CNN).
(2023)
104-107
DOI: 10.1109/CNN59923.2023.10275171.
2022
Andreev A.
Macroscopic dynamics prediction by reservoir computing.
2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2022)
14-16
DOI: 10.1109/DCNA56428.2022.9923251.
Antipov V., Badarin A., Grubov V.
Investigation of brain activity characteristics during working memory activation for multimodal stimuli.
2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2022)
24-26
DOI: 10.1109/DCNA56428.2022.9923129.
Bukina T., Khramova M.
Prevalence of neuromyths among pre-service teachers.
2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2022)
58-60
DOI: 10.1109/DCNA56428.2022.9923227.
Grubov V., Afinogenov S., Maximenko V., Utyashev N.
Epileptic EEG marking with machine learning approach.
2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2022)
101-105
DOI: 10.1109/DCNA56428.2022.9923177.
Khorev V.
Brain activity diagnostics system for exoskeleton control.
2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2022)
125-128
DOI: 10.1109/DCNA56428.2022.9923241.
Khorev V., Kurkin S., Paunova R., Simeonova D., Kandilarova S., Stoyanov D.
Brain activity functional analysis based on the fMRI data in healthy subjects between Stroop and emotion tests.
2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2022)
129-131
DOI: 10.1109/DCNA56428.2022.9923116.
Kuc A., Batmanova A., Maksimenko V.
Training Artificial Neural Network to Classify Correct and Erroneous Interpretations of Visual Stimuli before Behavioral Response.
2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2022)
160-162
DOI: 10.1109/DCNA56428.2022.9923233.
Maksimenko V., Gordleeva S., Grigorev N., Savosenkov A., Kuc A., Udoratina A., Kolchina A., Kurkin S., Grubov V., Kazantsev V., Hramov A.
Anterior TMS Speeds up Responses in Perceptual Decision-making Task.
2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2022)
182-184
DOI: 10.1109/DCNA56428.2022.9923178.
Mirzaeva K., Badarin A., Antipov V., Grubov V., Hramov A.
Experimental design for studying brain activity and behavior of a child in the process of solving elementary cognitive tasks.
2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2022)
197-199
DOI: 10.1109/DCNA56428.2022.9923229.
Piljugin O., Badarin A., Antipov V., Grubov V., Belousova Y., Tynterova A., Rafalskiy V., Shusharina N., Hramov A.
Analysis of eye-tracking data during the Sternberg working memory task in subjects with asthenic syndrome.
2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2022)
219-222
DOI: 10.1109/DCNA56428.2022.9923207.
Pitsik E., Kurkin S., Hramov A., Paunova R., Simeonova D., Kandilarova S., Stoyanov D.
A graph convolutional network for classification of resting-state fMRI data.
2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2022)
223-225
DOI: 10.1109/DCNA56428.2022.9923197.
Kabir M.S., Kurkin S.
Combination of Machine Learning and Functional Networks Concept for Diagnosis of Autism Spectrum Disorder.
2022 Fourth International Conference Neurotechnologies and Neurointerfaces (CNN).
(2022)
63-67
DOI: 10.1109/CNN56452.2022.9912484.
Khoymov M., Grubov V., Maksimenko V., Utashev N., Andrikov D., Kurkin S.
Machine learning methods application for outliers detection in epileptic EEG.
2022 Fourth International Conference Neurotechnologies and Neurointerfaces (CNN).
(2022)
71-74
DOI: 10.1109/CNN56452.2022.9912541.
Brusinskii N., Badarin A., Hramov A.
Eye movement features in solving Sternberg Memory Task.
2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2022)
46-48
DOI: 10.1109/DCNA56428.2022.9923281.
Antipov V.
Upper limb exoskeleton for neurorehabilitation with control via brain-computer interface.
2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2022)
21-23
DOI: 10.1109/DCNA56428.2022.9923211.
Andreev A.V., Maksimenko V.A.
Synchronization in interacting networks of Hodgkin-Huxley neurons.
Proc. SPIE.
12194,
121940K
(2022)
DOI: 10.1117/12.2626379.
Badarin A.A., Antipov V.M., Grubov V.V., Kurkin S.A.
Changing functional connectivity during solving cognitive tasks: fNIRS study.
Proc. SPIE.
12194,
121940L
(2022)
DOI: 10.1117/12.2626381.
Khorev V.S.
Effect of the fatigue in the equilibrium training.
Proc. SPIE.
12194,
121940E
(2022)
DOI: 10.1117/12.2626289.
Kurkin S.A., Smirnov N.V., Badarin N.A., Makarov V.V.
Fatigue-related reconfiguration of the functional network of the brain during cognitive load.
Proc. SPIE.
12194,
121940I
(2022)
DOI: 10.1117/12.2626371.
Pitsik E.N.
Recurrence quantification analysis detects P300 in single-trial EEG.
Proc. SPIE.
12194,
121940Q
(2022)
DOI: 10.1117/12.2626711.
Grubov V.V., Kuc A.A., Maksimenko V.A.
Frequency-space features of EEG activity during decision-making task with uncertainty.
Proc. SPIE.
12194,
121940P
(2022)
DOI: 10.1117/12.2626570.
Kuc A., Maksimenko V.
Effect of the previous stimulus on the processing of the current stimuli during their repetitive presentation.
Proc. SPIE.
12194,
121940N
(2022)
DOI: 10.1117/12.2626391.
Kuc A., Maksimenko V.
Studying behavioral performance and neural activity during a prolonged visual task.
Proc. SPIE.
12194,
121940O
(2022)
DOI: 10.1117/12.2626394.
Kurkin S.A., Hramov A.E.
Source-level analysis of age-related differences in the motor initiation phase.
Proc. SPIE.
12194,
121940S
(2022)
DOI: 10.1117/12.2626930.
Smirnov N.M., Kurkin S.A., Hramov A.E.
Specificities of ERD lateralization during motion execution.
Proc. SPIE.
12194,
121940R
(2022)
DOI: 10.1117/12.2626745.
2021
Smirnov N.M., Kurkin S.
Quasi-movements as an intermediate type of motion.
2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2021)
190-193
DOI: 10.1109/DCNA53427.2021.9587026.
Pitsik E., Frolov N.
Recurrence quantification analysis detects P300 on single-trial EEG.
2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2021)
155-158
DOI: 10.1109/DCNA53427.2021.9586886.
Pisarchik A.N.
Coherence Resonance in Complex Networks.
2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2021)
151-154
DOI: 10.1109/DCNA53427.2021.9587095.
Nasybullin A., Kurkin S.
Convolutional Neural Network and Adversarial Autoencoder in EEG images classification.
2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2021)
139-142
DOI: 10.1109/DCNA53427.2021.9586891.
Maksimenko V.
Studying the interaction between top-down and bottom-up processes during ambiguous perception.
2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2021)
135-136
DOI: 10.1109/DCNA53427.2021.9586854.
Makovkin S., Gordleeva S., Ivanchenko M.
Synchronization in two topologies in the neuron-astrocyte network.
2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2021)
133-134
DOI: 10.1109/DCNA53427.2021.9587094.
Makarov V., Grubov V., Kurkin S., Smirnov N.
Source-level analysis of brain activity in the process of learning and retrieving new information.
2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2021)
129-132
DOI: 10.1109/DCNA53427.2021.9587008.
Kuc A., Grubov V.
Analysis of behavioral characteristics during prolonged cognitive load.
2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2021)
119-121
DOI: 10.1109/DCNA53427.2021.9587326.
Kuc A.
Effect of prehistory on the ambiguous stimuli processing in the human brain.
2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2021)
116-118
DOI: 10.1109/DCNA53427.2021.9586879.
Korchagin S., Maksimenko V., Hramov A.
Using Convolutional Neural Network to Classify 2D EEG Scalp Topograms during Visual Task.
2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2021)
106-107
DOI: 10.1109/DCNA53427.2021.9587057.
Khramova M.V., Kuc A., Maksimenko V.A., Frolov N.S., Grubov V.V., Kurkin S.A., Shusharina N.N., Fedorov A.A., Hramov A.E.
Brain activity during complex cognitive task completion: comparative study of children and adults.
2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2021)
99-101
DOI: 10.1109/DCNA53427.2021.9587324.
Khorev V.
Effect of the fatigue in the balance keeping experiment.
2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2021)
97-98
DOI: 10.1109/DCNA53427.2021.9587315.
Khorev V., Kazantsev V.B.
Factor of border crossing limitation with an infection hub in the SIR covid model.
2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2021)
95-96
DOI: 10.1109/DCNA53427.2021.9586890.
Grubov V., Badarin A., Savosenkov A., Grigoriev N., Lukojanov M., Ydoratina A., Maximenko V., Kazantsev V.B., Hramov A.E.
Efficiency and fatigue in marksmanship training.
2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2021)
77-80
DOI: 10.1109/DCNA53427.2021.9587150.
Frolov N., Ghosh D.
Mixing adaptive rules in a bilayer Erdős-Rényi network.
2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2021)
75-76
DOI: 10.1109/DCNA53427.2021.9587298.
Frolov N., Pitsik E.
Changes in cortical activation during single-session sensorimotor training: young versus elderly adults.
2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2021)
73-74
DOI: 10.1109/DCNA53427.2021.9587192.
Bukina T.V., Khramova M.V.
Researches on children's mathematical abilities using non-invasive brain-recording technologies.
2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2021)
53-55
DOI: 10.1109/DCNA53427.2021.9587246.
Chepurova A., Kurkin S.
Comparison on brain activity for mechanical imagery and execution: a brief review.
2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2021)
56-60
DOI: 10.1109/DCNA53427.2021.9587202.
Badarin A., Smirnov N., Kurkin S.
Biomarkers of brain activity for the performance evaluation in the process of solving cognitive tasks.
2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2021)
36-39
DOI: 10.1109/DCNA53427.2021.9587001.
Antipov V., Badarin A.
Wireless personal training tracker for sports shooting.
2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2021)
29-31
DOI: 10.1109/DCNA53427.2021.9587078.
Antipov V.
Customizable and Flexible Pressure Sensor Matrix.
2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2021)
25-28
DOI: 10.1109/DCNA53427.2021.9586833.
Andreev A., Maksimenko V.
Synchronization in four interacting networks of Hodgkin-Huxley neurons.
2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2021)
22-24
DOI: 10.1109/DCNA53427.2021.9586930.
Andreev A., Badarin A.
Forecasting of adaptive network’s dynamics.
2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
(2021)
19-21
DOI: 10.1109/DCNA53427.2021.9587253.
Kuc A., Maksimenko V.
Influence of the sensory information complexity on the features of low frequency rhythms of human EEG.
Proc. SPIE.
11847,
118470R
(2021)
DOI: 10.1117/12.2591337.
Grubov V.V., Maksimenko V.A.
Approach to collaborative BCI for enhancing human-to-human interaction in shared visual task.
Proc. SPIE.
11847,
118470Q
(2021)
DOI: 10.1117/12.2591327.
Andreev A.V., Pisarchik A.N.
External stimulus classification by Hodgkin-Huxley neural network .
Proc. SPIE.
11847,
118470H
(2021)
DOI: 10.1117/12.2591339.
Gainutdinov A.
Method for analyzing the inhibition of cellular signals in the spike train format .
Proc. SPIE.
11847,
118470G
(2021)
DOI: 10.1117/12.2591330.
Khorev V.S., Grubov V.V., Badarin A.A., Kurkin S.A.
Analysis of muscle activation patterns during equilibrium seeking activity,.
Proc. SPIE.
11847,
118470F
(2021)
DOI: 10.1117/12.2591326.
Frolov N., Pitsik E.
Age-related changes in the brain functional connectivity during motor initiation.
Proc. SPIE.
11847,
118470V
(2021)
DOI: 10.1117/12.2591775.
Pitsik E., Frolov N.
Artificial neural network predicts inter-areal functional connectivity.
Proc. SPIE.
11847,
118470U
(2021)
DOI: 10.1117/12.2591376.
Kurkin S., Chholak P.
Peculiarities of brain activity sources in the process of motor acts imagination .
Proc. SPIE.
11847,
118470T
(2021)
DOI: 10.1117/12.2591371.
2020
Kuc A., Malova N.
Spatio-temporal EEG activity in cortical network during visual perception task.
2020 International Conference Nonlinearity, Information and Robotics (NIR).
(2020)
DOI: 10.1109/NIR50484.2020.9290161.
Hramov A., Frolov N., Grubov V., Pitsik E., Maksimenko V.
Network Structure of Children’s Brain During Schulte Table Task.
2020 International Conference Nonlinearity, Information and Robotics (NIR).
(2020)
DOI: 10.1109/nir50484.2020.9290228.
Pitsik E., Frolov N., Kiselev A., Shchukovskii N., Badarin A., Grubov V.
Motor-related elderly brain activity revealed via recurrence quantification analysis.
2020 International Conference Nonlinearity, Information and Robotics (NIR).
(2020)
DOI: 10.1109/nir50484.2020.9290221.
Pitsik E., Frolov N., Badarin A., Grubov V.
Network analysis of electrical activity in brain motor cortex during motor execution and motor imagery of elderly.
2020 International Conference Nonlinearity, Information and Robotics (NIR).
(2020)
DOI: 10.1109/nir50484.2020.9290219.
Grubov V., Badarin A., Maksimenko V.
Analysis of information perception and processing during long-term and intense cognitive load using combined EEG and NIRS.
2020 International Conference Nonlinearity, Information and Robotics (NIR).
(2020)
DOI: 10.1109/nir50484.2020.9290234.
Khorev V., Grubov V., Badarin A., Maksimenko V.
EEG features during maintaining a human body balance.
2020 International Conference Nonlinearity, Information and Robotics (NIR).
(2020)
DOI: 10.1109/nir50484.2020.9290209 .
Grubov V., Maksimenko V., Kurkin S., Khramova M., Aleksandrova N., Hramov A.
Attention state of children during Schulte tables task.
2020 International Conference Nonlinearity, Information and Robotics (NIR).
(2020)
DOI: 10.1109/nir50484.2020.9290231 .
Grubov V., Badarin A., Frolov N., Pitsik E.
Features of real and imaginary human motor activity with EEG and fNIRS.
2020 International Conference Nonlinearity, Information and Robotics (NIR).
(2020)
DOI: 10.1109/nir50484.2020.9290202.
Andreev A., Frolov N., Alexandrova N., Chaban M.
Chimera-like state in ensemble of bistable neurons.
2020 International Conference Nonlinearity, Information and Robotics (NIR).
(2020)
DOI: 10.1109/nir50484.2020.9290204 .
Maksimenko V., Grubov V.
Cognitive interaction via a brain-to-brain interface.
2020 International Conference Nonlinearity, Information and Robotics (NIR).
(2020)
DOI: 10.1109/nir50484.2020.9290200.
Gainutdinov A.
Determination of responses to stimuli by the role of signal-triggering neurons in the network.
2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2020)
92-93
DOI: 10.1109/DCNAIR50402.2020.9216736.
Smirnov N.M., Tishkin P.S., Lutanin E.A.
Analysis of multilayer perceptron based approach in studying brain neuronal connectivity networks.
2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2020)
228-230
DOI: 10.1109/DCNAIR50402.2020.9216906.
Pitsik E., Kurkin S.
Database for storing and organizing data of neurophysiological experiments: description and basic functionality.
2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2020)
189-191
DOI: 10.1109/DCNAIR50402.2020.9216762.
Pitsik E., Frolov N.
Detecting inter-areal functional connectivity using artificial neural network.
2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2020)
186-188
DOI: 10.1109/DCNAIR50402.2020.9216861.
Kurkin S., Chholak P., Pisarchik A., Hramov A.
Analysis of the features of brain neuronal sources during imagery motor activity: MEG study.
2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2020)
154-157
DOI: 10.1109/DCNAIR50402.2020.9216932.
Kuc A., Grubov V., Maksimenko V., Makarov V.
Estimating elementary cognitive functions based on EEG signals analysis.
2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2020)
147-148
DOI: 10.1109/DCNAIR50402.2020.9216795.
Kuc A.
Analysis of EEG spectral amplitudes during ambiguous information processing.
4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2020)
144-146
DOI: 10.1109/DCNAIR50402.2020.9216896.
Khorev V., Grubov V., Badarin A., Kurkin S.
Dynamical analysis of the neural and equilibrium seeking movement activity.
2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2020)
124-128
DOI: 10.1109/DCNAIR50402.2020.9216815.
Hramov A., Grubov V., Badarin A.
Classification of hand-related real and imaginary motor activity with fNIRS.
2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2020)
103-106
DOI: 10.1109/DCNAIR50402.2020.9216914.
Hramov A.E.
Motor Control: Neurophisiological Basis and BCI Applications.
020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2020)
101-102
DOI: 10.1109/DCNAIR50402.2020.9216753.
Grubov V., Maksimenko V., Nedaivozov V.
Development of the approach to collaborative BCI.
2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2020)
97-100
DOI: 10.1109/DCNAIR50402.2020.9216796.
Frolov N., Maksimenko V., Ghosh D., Majhi S., Rakshit S.
Route to Coherence in a Frequency-Heterogeneous Kuramoto Network.
2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2020)
82-84
DOI: 10.1109/DCNAIR50402.2020.9216818.
Chholak P., Pisarchik A.N.
Highest performance requires an optimal effort: A MEG study on visual perception.
2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2020)
74-77
DOI: 10.1109/DCNAIR50402.2020.9216867.
Bukina T.V., Khramova M.V., Kurkin S.
Modern research on the primary school children brain functioning in the learning process.
2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2020)
68-69
DOI: 10.1109/DCNAIR50402.2020.9216824.
Balanov A., Andreev A., Fromhold M., Greenaway M., Hramov A., Li W., Makarov V., Zagoskin A.
Chaos and hyperchaos in the chain of quantum coherent elements.
2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2020)
58
DOI: 10.1109/DCNAIR50402.2020.9216926.
Badarin A., Kurkin S.
Space-charge-limited current in an external magnetic field.
2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2020)
46-48
DOI: 10.1109/DCNAIR50402.2020.9216933.
Badarin A., Grubov V., Maksimenko V.
The activity of the brain cortical network during solving tasks.
2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2020)
42-45
DOI: 10.1109/DCNAIR50402.2020.9216868.
Andreev A., Pisarchik A.
Classification of external signal by spiking neural network of bistable Hodgkin-Huxley neurons.
4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2020)
31-33
DOI: 10.1109/DCNAIR50402.2020.9216925.
Andreev A.A.
Oscillations of synchronization in inhibitory coupled Hodgkin-Huxley neurons network.
2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2020)
28-30
DOI: 10.1109/DCNAIR50402.2020.9216937.
Hramov A.E.
Interactions within the Spatially-distributed Cortical Neural Network during Visual Attentional Tasks.
2020 4th International Conference on Computational Intelligence and Networks (CINE), Kolkata, India, 2020.
(2020)
1-4
DOI: 10.1109/CINE48825.2020.234404.
Kurkin S., Hramov A., Chholak P., Pisarchik A.
Localizing oscillatory sources in a brain by MEG data during cognitive activity.
2020 4th International Conference on Computational Intelligence and Networks (CINE), Kolkata, India, 2020.
(2020)
1-4
DOI: 10.1109/CINE48825.2020.234403.
Maksimenko V., Lüttjohann A., van Heukelum S., Kelderhuis J., Makarov V., Hramov A., Koronovsliy A., van Luijtelaar G.
Brain-computer interface for the epileptic seizures prediction and prevention .
2020 8th International Winter Conference on Brain-Computer Interface (BCI), Gangwon, Korea (South).
(2020)
1-5
DOI: 10.1109/BCI48061.2020.9061655.
Kuc A., Malova N., Maksimenko V.
Spatio-temporal activity in cortical network during cognitive activity.
Proc. SPIE.
11459,
1145907
(2020)
DOI: 10.1117/12.2563871.
Frolov N.S., Makarov V.V.
Inference of functional dependence in coupled chaotic systems using feed-forward neural network.
Proc. SPIE.
11459,
114590X
(2020)
DOI: 10.1117/12.2563980.
Pitsik E., Frolov N.
Features of motor-related brain activity revealed via recurrence quantification analysis.
Proc. SPIE.
11459,
1145904
(2020)
DOI: 10.1117/12.2563542.
Pitsik E., Frolov N.
Network analysis of electrical activity in brain motor cortex during motor execution and motor imagery.
Proc. SPIE.
11459,
1145908
(2020)
DOI: 10.1117/12.2563976.
Grubov V.V., Badarin A.A., Frolov N.S., Pitsik E.N.
Analysis of real and imaginary motor activity with combined EEG and fNIRS.
Proc. SPIE.
11459,
114590B
(2020)
DOI: 10.1117/12.2564387.
Khorev V.S., Pushkarskaja D.D., Pitsik E.N., Kurkin S.A.
The technique for determining on EMG signals the precursors of start of limb movement.
Proc. SPIE.
11459,
114590I
(2020)
DOI: 10.1117/12.2563541.
Kurkin S., Chholak P., Niso G., Frolov N., Pisarchik A.
Using artificial neural networks for classification of kinesthetic and visual imaginary movements by MEG data.
Proc. SPIE.
11459,
1145905
(2020)
DOI: 10.1117/12.2563813.
Andreev A.V., Frolov N.S., Alexandrova N.A., Chaban M.A.
Control of dynamics of bistable neural network by an external pulse.
Proc. SPIE.
11459,
114590W
(2020)
DOI: 10.1117/12.2563872.
Andreev A.V., Malova N.A., Borovkova E.I., Frolov N.S.
Interaction of bistable neurons leading to the complex network dynamics.
Proc. SPIE.
11459,
114590V
(2020)
DOI: 10.1117/12.2563866.
Maksimenko V., Frolov N., Grubov V., Nedaivozov V.
Cognitive interaction via a brain-to-brain interface.
Proc. SPIE.
11459,
1145906
(2020)
DOI: 10.1117/12.2563869.
Grubov V.V., Maksimenko V.A., Kurkin S.A., Khramova M.V., Hramov A.E.
Maintaining attention state of children during cognitive load.
Proc. SPIE.
11459,
114590A
(2020)
DOI: 10.1117/12.2564349.
Maksimenko V., Khorev V., Grubov V., Badarin A., Hramov A.E.
Neural activity during maintaining a body balance.
Proc. SPIE.
11459,
1145903
(2020)
DOI: 10.1117/12.2563533.
Badarin A.A., Skazkina V.V., Grubov V.V.
Studying of human’s mental state during visual information processing with combined EEG and fNIRS.
Proc. SPIE.
11459,
114590D
(2020)
DOI: 10.1117/12.2564403.
2019
Frolov N.S., Hramov A.E.
Multilayer perceptron reveals functional connectivity structrure in thalamo-cortical brain network.
2019 3rd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2019)
53-54
DOI: 10.1109/DCNAIR.2019.8875539.
Balanov A., Andreev A.
Chaos and hyperchaos in a chain of coupled Rydberg atoms.
2019 3rd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2019)
24-27
DOI: 10.1109/DCNAIR.2019.8875616.
Chholak P., Pisarchik A.N., Kurkin S.A., Maksimenko V.A., Hramov A.E.
Phase-amplitude coupling between mu- and gamma-waves to carry motor commands.
2019 3rd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2019)
39-45
DOI: 10.1109/DCNAIR.2019.8875549.
Kurkin S., Maksimenko V., Pitsik E.
Approaches for the Improvement of Motor-Related Patterns Classification in EEG Signals.
2019 3rd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2019)
109-111
DOI: 10.1109/DCNAIR.2019.8875604.
Kurkin S., Chholak P., Maksimenko V., Pisarchik A.
Machine learning approaches for classification of imaginary movement type by MEG data for neurorehabilitation.
2019 3rd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2019)
106-108
DOI: 10.1109/DCNAIR.2019.8875520.
Maksimenko V., Grubov V.
Cognitive interaction during a collaborative attentional task.
2019 3rd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2019)
119-121
DOI: 10.1109/DCNAIR.2019.8875515.
Miftahova A.R., Hramov A.E.
Recurrence plot analysis of functional brain connectivity during bistable visual perception.
2019 3rd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2019)
122-124
DOI: 10.1109/DCNAIR.2019.8875562.
Pisarchik A., Andreev A., Ivanov A.
Modeling of a brain neuronal network under visual stimulation.
2019 3rd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2019)
136-138
DOI: 10.1109/DCNAIR.2019.8875579.
Pitsik E.
Recurrence plot structure of motor-related human EEG.
2019 3rd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2019)
139-141
DOI: 10.1109/DCNAIR.2019.8875533.
Pitsik E.
Time-frequency and recurrence quantification analysis detect limb movement execution from EEG data.
2019 3rd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2019)
142-144
DOI: 10.1109/DCNAIR.2019.8875596.
Badarin A.
Development of a digital software platform for the study of nonlinear dynamics of electronic systems.
2019 3rd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2019)
DOI: 10.1109/DCNAIR.2019.8875603.
Badarin A.
The control of the dynamics of intense electron beams coupled through a common field.
2019 3rd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2019)
19-20
DOI: 10.1109/DCNAIR.2019.8875617.
Kurkin S.
Investigation of complex nonlinear processes in systems with intense relativistic electron beams.
2019 3rd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2019)
103-105
DOI: 10.1109/DCNAIR.2019.8875584.
Grubov V., Frolov N., Pitsik E., Badarin A.
Features of real and imaginary motor activity on EEG and fNIRS signals for neurorehabilitation .
2019 3rd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2019)
60-62
DOI: 10.1109/DCNAIR.2019.8875577.
Grubov V., Maksimenko V., Makarov V.
Features of brain activity in children during cognitive tasks of different types.
2019 3rd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia,.
(2019)
63-65
DOI: 10.1109/DCNAIR.2019.8875607.
Hramov A.E., Pisarchik A.N.
Kinesthetic and visual modes of imaginary movement: MEG studies for BCI development.
2019 3rd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2019)
66-68
DOI: 10.1109/DCNAIR.2019.8875521.
Khorev V., Zhuravlev M., Borovkova E., Ishbulatov Y., Gridnev V., Karavaev A.
Assymetry of coupling between the P3 and P4 electroencephalographic leads during the motions.
2019 3rd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2019)
74-75
DOI: 10.1109/DCNAIR.2019.8875534.
Khorev V.
Mean phase coherence modified for piecewise constant phase difference data.
2019 3rd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2019)
76-77
DOI: 10.1109/DCNAIR.2019.8875544.
Kiselev A.R., Maksimenko V.A., Shukovskiy N., Pisarchik A.N., Pitsik E., Hramov A.E.
Post-stroke rehabilitation with the help of brain-computer interface.
2019 3rd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2019)
83-85
DOI: 10.1109/DCNAIR.2019.8875615.
Kuc A., Maksimenko V.
Spatio-temporal cortical activity during a visual task accomplishing.
2019 3rd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2019)
94-95
DOI: 10.1109/DCNAIR.2019.8875517.
Kuc A., Nedaivozov V.
Influence of the sensory information ambiguity on the brain state during the decision-making task.
2019 3rd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia.
(2019)
96-97
DOI: 10.1109/DCNAIR.2019.8875576.
Караваев А. С., Боровкова Е. И., Руннова А. Е., Киселев А. Р., Журавлев М. О., Пономаренко В. И., Прохоров М. Д., Храмов А. Е., Короновский А. А., Безручко Б. П.
Синхронизация процессов регуляции кровообращения: экспериментальное наблюдение и математическое моделирование.
В сборнике Нeлинейные волны 2018 / Федер. исслед. центр Ин-т приклад. физики РАН ; отв. ред. А. Г. Литвак, А. В. Слюняев. — Нижний Новгород : ИПФ РАН.
(2019)
218-234
Badarin A., Hramov A., Kurkin S., Koronovskii A.
Influence of Ionization Processes on Virtual Cathode Formation.
2019 International Vacuum Electronics Conference (IVEC).
(2019)
DOI: 10.1109/IVEC.2019.8745349.
Badarin A., Frolov N., Rak A., Kurkin S.
Optimization of Volume Free-Electron Laser with Photonic Crystal Foil Grid Structure for Operation in Sub-Terahertz Range.
2019 International Vacuum Electronics Conference (IVEC).
(2019)
DOI: 10.1109/IVEC.2019.8745266.
Kurayev A., Kurkin S., Rak A., Koronovskii A., Badarin A.
O-Type Millimeter-Wave Band Devices on the Spiral Bent Rectangular Waveguide.
2019 International Vacuum Electronics Conference (IVEC).
(2019)
DOI: 10.1109/IVEC.2019.8745170.
Kurkin S., Koronovskii A., Badarin A., Hramov A., Rak A.
Novel Schemes of High-Power Relativistic Vircators .
2019 International Vacuum Electronics Conference (IVEC).
(2019)
DOI: 10.1109/ivec.2019.8745277.
Starodubov A., Badarin A., Galushka V., Pavlov A., Kalinin Y., Kurkin S., Koronovskii A.
Study of a Promising Electrodynamic Photonic Crystal-like Structure inside a Rectangular Waveguide.
2019 International Vacuum Electronics Conference (IVEC).
(2019)
DOI: 10.1109/ivec.2019.8745270 .
Kurkin S., Khorev V., Pitsik E., Maksimenko V., Hramov A.
The Approach to the Detection of the Movement Precursor by Electromyographic Signals .
In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics.
1,
(2019)
276-280
DOI: 10.5220/0007916502760280.
Hramov A., Pitsik E., Chholak P., Maksimenko V., Frolov N., Kurkin S., Pisarchik A.
A MEG Study of Different Motor Imagery Modes in Untrained Subjects for BCI Applications .
In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics.
1,
(2019)
188-195
DOI: 10.5220/0007810001880195.
Kirsanov D.V.
Emergence of macroscopic chimera states in multilayer multiplex network.
Proc. SPIE.
11067,
110670R
(2019)
DOI: 10.1117/12.2527692.
Grishina D.S., Runnova A.E., Pavlova O.N., Pavlov A.N., Hramov A.E.
Recognizing human movements by processing EEG-signals using multiresolution analys.
Proc. SPIE.
10877 ,
(2019)
1087710
DOI: 10.1117/12.2511406.
Grishina D.S., Pavlova O.N., Mohammad Y.Kh., Runnova A.E., Pavlov A.N., Hramov A.E.
Separation between real and imaginary movements from multichannel EEG signals.
Proc. SPIE.
11067,
110670F
(2019)
DOI: 10.1117/12.2521736.
Zhuravlev M.O., Runnova A.E., Hramov A.E.
Methods of assessing the degree of synchronization of multichannel EEG recordings.
Proc. SPIE.
11067,
1106705
(2019)
DOI: 10.1117/12.2527706.
Grubov V.V., Sitnikova E.Yu.
Detection of proepileptic activity patterns in EEG of WAG/Rij rats.
Proc. SPIE.
11067,
1106706
(2019)
DOI: 10.1117/12.2527707.
Protasov P., Makarov V.V., Zhuravlev M.O., Runnova A.E.
Structural properties of brain functional network during Schulte table solving.
Proc. SPIE.
11067,
1106707
(2019)
DOI: 10.1117/12.2527708.
Andreev A.V., Pisarchik A.N.
Mathematical simulation of coherent resonance phenomenon in a network of Hodgkin-Huxley biological neurons.
Proc. SPIE.
11067,
1106708
(2019)
DOI: 10.1117/12.2527709.
Kurkin S.A., Pitsik E.N., Frolov N.S.
Artificial intelligence systems for classifying EEG responses to imaginary and real movements of operators.
Proc. SPIE.
11067,
1106709
(2019)
DOI: 10.1117/12.2527730.
Hramov A., Maksimenko V., Zhuravlev M., Pisarchik A.
Immediate effect of neurofeedback in passive BCI for alertness control.
7th International Winter Conference on Brain-Computer Interface, BCI 2019.
8737325
(2019)
DOI: 10.1109/IWW-BCI.2019.8737325.
Maksimenko V., Hramov A., Runnova A., Pisarchik A.
Brain-to-brain interface increases efficiency of human-human interaction.
7th International Winter Conference on Brain-Computer Interface, BCI 2019.
8737316,
(2019)
DOI: 10.1109/IWW-BCI.2019.8737316.
Frolov N.S., Nedajvozov V.O., Grubov V.V., Runnova A.E., Kulanin E.A.
Study of EEG characteristics during the observation of an educational material.
Proc. SPIE.
11067,
1106702
(2019)
DOI: 10.1117/12.2527696.
Grubov V.V., Frolov N.S.
Detection of EEG oscillatory patterns corresponding to human concentration of attention with help of perceptron type artificial neural network.
Proc. SPIE.
11067,
1106703
(2019)
DOI: 10.1117/12.2527702.
Runnova A., Maksimenko V., Zhuravlev M.
Use of artificial intelligence for study of the visual perception.
Proc. SPIE.
11067,
1106704
(2019)
DOI: 10.1117/12.2527705.
2018
Aleksandrova N.A., Khramova M.V., Hramov A.E.
Designing, Implementation and Use of Robotic Devices in the Social Sectors in Foreign Studies.
2018 IEEE International Conference "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS), St. Petersburg, 2018.
(2018)
536-541
DOI: 10.1109/ITMQIS.2018.8525131.
Aleksandrova N.A., Khramova M.V., Chernyaeva T.N., Hramov A.E.
The Implementation of the Innovation Platform "Educational Potential of Hardware-Software Complexes Based on the Study and Interpretation of Brain Activity Patterns".
2018 IEEE International Conference "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS), St. Petersburg, 2018.
(2018)
533-535
DOI: 10.1109/ITMQIS.2018.8524988.
Frolov N., Zhukov V., Pisarchik A.
Multistability of macroscopic states in multilayer multiplex network .
2018 2nd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Saratov.
(2018)
35-37
DOI: 10.1109/DCNAIR.2018.8589199.
Grubov V., Maksimenko V., Nedaivozov V., Kirsanov D.
Real-Time Big EEG Data Processing With CUDA Parallel Computing Technology.
2018 2nd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Saratov.
(2018)
49-52
DOI: 10.1109/DCNAIR.2018.8589204.
Hramov A., Runnova A., Kurkin S., Musatov V.
Gender Differences in Operators Movement Recognition on Signals of Electroencephallogram.
2018 2nd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Saratov.
(2018)
57-59
DOI: 10.1109/DCNAIR.2018.8589211.
Khorev V., Borovkova E., Runnova A., Zhuravlev M., Efremova T., Karavaev A.
Detection of Couplings Between the EEG Signals During the Limb Movements.
2018 2nd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Saratov.
(2018)
66-68
DOI: 10.1109/DCNAIR.2018.8589057.
Kuc A., Maksimenko V., Hramov A.
Influence of Stimulus Complexity on the Properties of Neural Activity During Perceptual Process.
2018 2nd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Saratov.
(2018)
78-81
DOI: 10.1109/DCNAIR.2018.8589221.
Kulanin R., Maksimenko V., Runnova A., Hramov A.
Algorithm of Mathematical Analysis of Spatio-Temporal and Time-Frequency EEG Propertices for Human Personality Features Discover.
2018 2nd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Saratov.
(2018)
82-83
DOI: 10.1109/DCNAIR.2018.8589047.
Andreev A., Makarov V., Frolov N., Runnova A., Pisarchik A.
Mathematical Simulation and Investigation of the Phenomenon of Coherent Resonance in the Brain.
2018 2nd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Saratov.
(2018)
9-11
DOI: 10.1109/DCNAIR.2018.8589232.
Makarov V.
Time-frequency analysis of EEG during the observation of educational material.
2018 2nd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Saratov.
(2018)
84-86
DOI: 10.1109/DCNAIR.2018.8589229.
Maksimenko V., Nedayvozov V. Hramov A.
Control of Human Psychophysiological Condition by the Neurointerface With Biological Feedback.
2018 2nd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Saratov.
(2018)
87-89
DOI: 10.1109/DCNAIR.2018.8589216.
Goremyko M.V., Makarov V.V., Hramov A.E., Kirsanov D.V., Maksimenko V.A., Ivanov A.V., Yashkov I.A., Boccaletti S.
Betweenness centrality in urban networks: revealing the transportation backbone of the country from the demographic data.
IOP Conf. Ser.: Earth Environ. Sci..
177,
(2018)
012017
DOI: 10.1088/1755-1315/177/1/012017.
Kurkin S., Badarin A., Frolov N., Koronovskii A. Hramov A.
Regularities and mechanisms of development of instabilities in the system with intense relativistic electron beam .
IEEE International Vacuum Electronics Conference (IVEC).
(2018)
279-280
DOI: 10.1109/IVEC.2018.8391638.
Maksimenko V.A., Frolov N.S., Pisarchik A.N.
Analysis of bistable perception based on MEG data.
Proc. SPIE.
10493,
(2018)
104931G-1
DOI: 10.1117/12.2291673.
Kurkin S., Pitsik E., Musatov V., Runnova A., Hramov A.
Artificial Neural Networks as a Tool for Recognition of Movements by Electroencephalograms.
In Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2018).
1,
(2018)
166-171
DOI: 10.5220/0006860201660171.
Badarin A., Kurkin S., Frolov N., Koronovskii A., Hramov A., Rak A.
Analysis of the dispersion characteristics of the photonic crystal in the generator with intense relativistic electron beam .
2018 IEEE International Vacuum Electronics Conference (IVEC).
(2018)
265-266
DOI: 10.1109/IVEC.2018.8391639.
Frolov N.S., Kurkin S.A.
Photonic crystal application for microwaves output induced by the beam-plasma instability in the absence of ions .
2018 IEEE International Vacuum Electronics Conference (IVEC).
(2018)
267-268
DOI: 10.1109/IVEC.2018.8391640.
Hramov A., Maximenko V., Khramova M.
Brain-computer interface for alertness estimation and improving.
Proc. SPIE.
10493,
(2018)
104931B-1
DOI: 10.1117/12.2291693.
Hramov A.E, Selskii A.O., Egorov I.V.
Nonlinear correlation method for the separation of couplings in EEG experiments with neural ensembles.
Proc. SPIE.
10493,
(2018)
104931C-1
DOI: 10.1117/12.2291669.
Maksimenko V.A., Grubov V.V., Kirsanov D.V.
Use of parallel computing for analyzing big data in EEG studies of ambiguous perception.
Proc. SPIE.
10493,
(2018)
104931H-1
DOI: 10.1117/12.2291697.
Maksimenko V., Makarov V., Goremyko M.
Study of the interactions in neural ensemble of the brain using wavelet analysis.
Proc. SPIE.
10493,
(2018)
104931I-1
DOI: 10.1117/12.2291701.
Makarov V.V., Maximenko V.A., Luijtelaar G., Luttjohann A., Hramov A.E.
Control of epileptic seizures in WAG/Rij Rats by means of brain-computer interface.
Proc. SPIE.
10493,
(2018)
1049311-1
DOI: 10.1117/12.2291696.
Pavlov A.N., Runnova A.E., Maksimenko V.A., Grishina D.S., Hramov A.E.
Detection of EEG-patterns associated with real and imaginary movements using detrended fluctuation analysis.
Proc. SPIE.
10493,
(2018)
1049315-1
DOI: 10.1117/12.2291878.
Andreev A.V., Runnova A.E., Pisarchik A.N., Hramov A.E.
Nonlinear dynamics and coherent resonance in a network of coupled neural-like oscillators.
Proc. SPIE.
10493,
(2018)
1049317-1
DOI: 10.1117/12.2291670.
Runnova A., Zhuravlev M., Kulanin R., Protasov P., Hramov A., Koronovskii A.
The study of human higher mental functions as they relate to neurophysiological processes and personal characteristics.
Proc. SPIE.
10493,
(2018)
1049319-1
DOI: 10.1117/12.2291853.
Kurkin S.A., Musatov V.Yu., Runnova A.E., Pchelintseva S.V., Grubov V.V.
Identification of the patterns of brain activity during the imagination of movements using an artificial neural network.
Proc. SPIE.
10493,
(2018)
104931Q-1
DOI: 10.1117/12.2291688.
Kurkin S., Musatov V.Yu., Runnova A.E., Grubov V.V., Efremova T.Yu., Zhuravlev M.O.
Recognition of neural brain activity patterns correlated with complex motor activity.
Proc. SPIE.
10717,
(2018)
107171J-1
DOI: 10.1117/12.2315161.
Runnova A., Zhuravlev M., Kulanin R., Protasov P., Efremova T.
Analysis of psycho-physiological features of a subject in simple tests with the registration of electroencephalograms.
Proc. SPIE.
10717,
(2018)
107171K-1
DOI: 10.1117/12.2315159.
Hramov A.E., Musatov V.Yu., Runnova A.E., Efremova T.Yu., Koronovskii A.A., Pisarchik A.N.
Optimal spatiotemporal representation of multichannel EEG for recognition of brain states associated with distinct visual stimulus.
Proc. SPIE.
10717,
(2018)
107171M-2
DOI: 10.1117/12.2315140.
Musatov V., Dykin V., Pitsik E., Pisarchik A.
Detection of different states of sleep in the rodents by the means of artificial neural networks.
Proc. SPIE.
10717,
(2018)
107171N-1
DOI: 10.1117/12.2314957.
Musatov V.Yu., Runnova A.E., Andreev A.V., Zhuravlev M.O.
Brain states recognition during visual perception by means of artificial neural network in the different EEG frequency ranges.
Proc. SPIE.
10717,
(2018)
107171O-1
DOI: 10.1117/12.2314829.
Pavlov A.N., Maksimenko V.A., Runnova A.E., Khramova M.V., Pisarchik A.N.
Multifractal analysis of real and imaginary movements: EEG study.
Proc. SPIE.
10717,
(2018)
107171P-1
DOI: 10.1117/12.2311482.
Maksimenko V., Badarin A., Nedaivozov V., Kirsanov D., Hramov A.
Brain-computer interface on the basis of EEG system Encephalan.
Proc. SPIE.
10717,
(2018)
107171R-1
DOI: 10.1117/12.2314651.
Grubov V.V., Sitnikova E.Yu., Nedaivozov V.O., Koronovskii A.A.
Proepileptic patterns in EEG of WAG/Rji rats.
Proc. SPIE.
10717,
(2018)
107171T-1
DOI: 10.1117/12.2315128.
Pitsik E.N., Makarov V.V., Nedaivozov V.O., Kirsanov D.V., Goremyko M.V.
Self-organization in multilayer network with adaptation mechanisms based on competition.
Proc. SPIE.
10717,
(2018)
107172B-1
DOI: 10.1117/12.2315120.
Andreev A.V., Runnova A.E., Pisarchik A.N.
Numerical simulation of coherent resonance in a model network of Rulkov neurons.
Proc. SPIE.
10717,
(2018)
107172E-1
DOI: 10.1117/12.2315092.
Makarov V.V., Kirsanov D., Goremyko M., Andreev A., Hramov A.E.
Nonlinear dynamics of the complex multi-scale network.
Proc. SPIE.
10717,
(2018)
1071729-1
DOI: 10.1117/12.2315095.
Maksimenko V., Runnova A., Pchelintseva S., Efremova T., Zhuravlev M., Pisarchik A.
Analysis of the features of untrained human movements based on the multichannel EEG for controlling anthropomorphic robotic arm.
Proc. SPIE.
10717,
(2018)
107171L
DOI: 10.1117/12.2314686.
2017
Kurovskaya M.K., Runnova A.E., Zhuravlev M.O., Grubov V.V., Koronovskii A.A., Pavlov A.N., Pisarchik A.N.
Intermittency in electric brain activity in the perception of ambiguous images.
Proc. SPIE.
10337,
(2017)
1033715-1
DOI: 10.1117/12.2267825.
Moskalenko O.I., Koloskova A.D., Zhuravlev M.O., Koronovskii A.A., Hramov A.E.
Intermittent phase synchronization in human epileptic brain.
Proc. SPIE.
10063,
(2017)
1006316
DOI: 10.1117/12.2249950.
Grubov V.V., Runnova A.E., Efremova T. Yu., Hramov A.E.
Artifact removal from EEG data with empirical mode decomposition.
Proc. SPIE.
10063,
(2017)
100631F
DOI: 10.1117/12.2251371.
Goremyko M.V., Kirsanov D.V., Nedajvozov V.O., Makarov V.V., Hramov A.E.
Intermittent behavior in the brain neuronal network in the perception of ambiguous images.
Proc. SPIE.
10063,
(2017)
1006314-1
DOI: 10.1117/12.2249888.
Grubov V.V., Runnova A.E., Khramova M.V.
Filtration of human EEG recordings from physiological artifacts with empirical mode method.
Proc. SPIE.
10063,
(2017)
1006318-1
DOI: 10.1117/12.2250399.
Runnova A.E., Zhuravlev M.O., Pysarchik A.N., Khramova M.V., Grubov V.V.
The study of cognitive processes in the brain EEG during the perception of bistable images using wavelet skeleton.
Proc. SPIE.
10063,
(2017)
1006319-1
DOI: 10.1117/12.2250403.
Frolov N.S., Goremyko M.V., Makarov V.V., Maksimenko V.A., Hramov A.E.
Numerical and analytical investigation of the chimera state excitation conditions in the Kuramoto-Sakaguchi oscillator network.
Proc. SPIE.
10063,
(2017)
100631H-1
DOI: 10.1117/12.2251702.
Maksimenko V.A., Makarov V.V., Koronovskii A.A., Selskiy A.O.
The control of the frequency of the sub-terahertz source on the semiconductor superlattices for biophysical applications with use the change of the doping density.
Proc. SPIE.
10063,
(2017)
100631I-1
DOI: 10.1117/12.2251799.
Goremyko M.V., Maksimenko V.A., Makarov V.V., Ghosh D., Bera B.K., Dana S.K., Hramov A.E.
Numerical analysis of the chimera states in the multilayered network model.
Proc. SPIE.
10063,
(2017)
100631J-1
DOI: 10.1117/12.2251872.
Runnova A.E., Zhuravlev M.O., Koronovskiy A.A., Hramov A.E.
Mathematical approach to recover EEG brain signals with artifacts by means of Gram-Schmidt transform.
Proc. SPIE.
10337,
(2017)
103370Y-1
DOI: 10.1117/12.2267828.
Kirsanov D.V., Nedaivozov V.O., Makarov V.V., Goremyko M.V., Hramov A.E.
Study of pattern formation in multilayer adaptive network of phase oscillators in application to brain dynamics analysis.
Proc. SPIE.
10337,
(2017)
103370Z-1
DOI: 10.1117/12.2267651.
Runnova A.E., Grubov V.V., Khramova M.V., Hramov A.E.
Dealing with noise and physiological artifacts in human EEG recordings: empirical mode methods.
Proc. SPIE.
10337,
(2017)
1033712-1
DOI: 10.1117/12.2267695.
Runnova A.E., Zhuravlev M.O., Khramova M.V., Pysarchik A.N.
The study of evolution and depression of the alpha-rhythm in the human brain EEG by means of wavelet-based methods.
Proc. SPIE.
10337,
(2017)
1033713-1
DOI: 10.1117/12.2267699.
Musatov V.Yu., Pchelintseva S.V., Runnova A.E., Hramov A.E.
Patterns recognition of electric brain activity using artificial neural networks.
Proc. SPIE.
10337,
(2017)
1033714-1
DOI: 10.1117/12.2267701.
Pchelintseva S.V., Runnova A.E., Musatov V.Yu., Hramov A.E.
Recognition and classification of oscillatory patterns of electric brain activity using artificial neural network approach.
Proc. SPIE.
10063,
1006317
(2017)
DOI: 10.1117/12.2250001.
2016
Maksimenko V.A., Makarov V.V., Koronovskii A.A., Hramov A.E., Balanov A.G.
Controlling of the electric field profile in the miniband semiconductors in the presence of THz Bloch oscillations.
2016 41st International Conference on Infrared, Millimeter, and Terahertz waves (IRMMW-THz).
(2016)
7758958
DOI: 10.1109/IRMMW-THz.2016.7758958.
Maksimenko V.A., Makarov V.V., Koronovskii A.A., Hramov A.E., Alexeev K.N., Balanov A.G.
Increase of the power and frequency in the semiconductor sandwich heterostructures.
41st International Conference on Infrared, Millimeter and Terahertz Waves, IRMMW-THz 2016.
(2016)
7758962
DOI: 10.1109/IRMMW-THz.2016.7758962.
Grubov V.V., Runnova A.E., Kurovskaуa M.K., Pavlov A.N., Koronovskii A.A., Hramov A.E.
Demonstration of brain noise on human EEG signals in perception of bistable images.
Proc. SPIE.
9707,
(2016)
970702
DOI: 10.1117/12.2207390.
Hramov A.E., Harchenko A.A., Khramova M.V., Koronovskii A.A., Kurovskaуa M.K., Makarov V.V., Moskalenko O.I., Pavlov A.N., Dana S.K.
Analysis of the establishment of the global synchronization in complex networks with different topologies of links.
Proc. SPIE.
9707,
(2016)
970712
DOI: 10.1117/12.2207394.
Makarov V.V., Koronovskii A.A., Maksimenko V.A., Khramova M.V., Hramov A.E., Pavlov A.N., Moskalenko O.I., Buldu J.M., Boccaletti S.
Multilayer structure formation via homophily and homeostasis.
Proc. SPIE.
9707,
(2016)
970711
DOI: 10.1117/12.2207392.
Yasin A.S., Pavlov A.N., Hramov A.E.
Speech signal denoising with wavelet-transforms and the mean opinion score characterizing the filtering quality.
Proc. SPIE.
9707,
(2016)
970719
DOI: 10.1117/12.2211384.
Makarov V.V., Maksimenko V.A., Khramova M.V., Pavlov A.N., Hramov A.E.
THz-range generation frequency growth in semiconductor superlattice coupled to external high-quality resonator.
Proc. SPIE.
9707,
(2016)
970713
DOI: 10.1117/12.2207395.
Moskalenko O.I., Koronovskii A.A., Pavlov A.N., Hramov A.E., Zhuravlev M.O.
Estimation of degree of synchronization in epileptic brain.
Proc. SPIE.
9707,
(2016)
970710
DOI: 10.1117/12.2207391.
Yaseen A.S., Pavlova O.N., Pavlov A.N., Hramov A.E.
Image denoising with the dual-tree complex wavelet transform.
Proc. SPIE.
9917,
(2016)
99173K
DOI: 10.1117/12.2225449.
Frolov N.S., Kurkin S.A., Khramova M.V., Badarin A.A., Koronovskii A.A., Pavlov A.N., Hramov A.E.
Perspective sub-THz powerful microwave generator "nanovircator" for T-rays biomedical diagnostics.
Proc. SPIE.
9917,
(2016)
991721
DOI: 10.1117/12.2229627.
Makarov V.V., Maksimenko V.A., Ponomarenko V.I., Khramova M.V., Pavlov A.N., Prokhorov M.D., Karavaev A.S.
Modulation and detection of the THz range signals using the highest harmonics of the fundamental frequency of the superlattice-based generator for biomedical applications.
Proc. SPIE.
9917,
(2016)
991722
DOI: 10.1117/12.2229629.
2015
Moskalenko O.I., Pivovarov A.A., Pavlov A.N., Koronovskii A.A., Khramova M.V., Hramov A.E.
Generalized synchronization in the complex network: theory and applications to epileptic brain.
Proc. SPIE.
9917,
(2015)
991723
DOI: 10.1117/12.2229737.
Makarov V.V., Maksimenko V.A., Koronovskii A.A., Khramova M.V., Pavlov A.N., Hramov A.E.
Study of correlation between macroscopic and microscopic characteristics of adaptive networks with application to analysis of neural ensembles.
Proc. SPIE.
9448,
(2015)
94481S
DOI: 10.1117/12.2178887.
Hramov A.E., Sitnikova E.Yu., Pavlov A.N., Grubov V.V., Koronovskii A.A., Khramova M.V.
Time-frequency dynamics during sleep spindles on the EEG in rodents with a genetic predisposition to absence epilepsy (WAG/Rij rats).
Proc. SPIE.
9448,
(2015)
94481P
DOI: 10.1117/12.2178876.
Grubov V.V., Sitnikova E.Yu., Pavlov A.N., Khramova M.V., Koronovskii A.A., Hramov A.E.
Time-frequency analysis of epileptic EEG patterns by means of empirical modes and wavelets.
Proc. SPIE.
9448,
(2015)
94481Q
DOI: 10.1117/12.2178898.
Maksimenko V.A., Makarov V.V., Harchenko A.A., Pavlov A.N., Khramova M.V., Koronovskii A.A., Hramov A.E.
Analysis of structural patterns in the brain with the complex network approach.
Proc. SPIE.
9322,
(2015)
932213
DOI: 10.1117/12.2076738.
Grubov V.V., Sitnikova E.Yu., Pavlov A.N., Khramova M.V., Koronovskii A.A., Hramov A.E.
Age-dependent seizures of absence epilepsy and sleep spindles dynamics in WAG/Rij rats.
Proc. SPIE.
9322,
(2015)
932212
DOI: 10.1117/12.2076734.
2013
Nazimov A.I., Pavlov A.N., Hramov A.E., Grubov V.V., Koronovskii A.A., Sitnikova E.Yu.
Adaptive wavelet-based recognition of oscillatory patterns on electroencephalograms.
Proc. SPIE.
8580,
(2013)
85801D
DOI: 10.1117/12.2001888.
Hramov A.E., Grubov V.V., Pavlov A.N., Sitnikova E.Yu., Koronovskii A.A., Runnova A.E., Shurygina S.A., Ivanov A.V.
On-off intermittency of thalamo-cortical neuronal network oscillations in the electroencephalogram of rodents with genetic predisposition to absence epilepsy.
Proc. SPIE.
8580,
(2013)
85801E
DOI: 10.1117/12.2001894.