Vitaly M. Verkhlyutov

Papers

• Malkov I., Burlakov E., Verkhlyutov V.M., Ushakov V. On Reconstruction of Cortical Traveling Wave Parameters from MEG Data Using Neural Field Equations with Directionally Variable Excitation and Inhibition Parameters. Studies in Computational Intelligence. 2026. V. 1241. P. 619-648. DOI: 10.1007/978-3-032-07690-8_51
• Verkhlyutov V.M., Burlakov E., Vvedensky V., Gurtovoy K. The Influence of Cortical Traveling Waves on the Reaction Speed of Subjects. Studies in Computational Intelligence.. 2026. V. 1241. P. 619-648. DOI: 10.1007/978-3-032-07690-8_49
• Vvedensky V., Verkhlyutov V.M., Gurtovoy K. Cortical Synchronization Across Multiple Brain Regions During Cognitive Task Execution. Studies in Computational Intelligence.. 2026. V. 1241. 668–676. DOI: 10.1007/978-3-032-07690-8_53
• Malkov I., Burlakov E., Verkhlyutov V., Ushakov V. A Model of Travelling Waves in the Neural Medium with Directional Variability of Inhibitory Effects. Studies in Computational Intelligence. 2025. V. 1179. P. 244-253. DOI: 10.1007/978-3-031-80463-2_22
• Verkhlyutov V.M. Possible influence of brain traveling waves on the reaction speed of subjects. ZENODO. 2025. V. 10.5281. N. 16324529. P. 1-10. DOI: 10.5281/zenodo.16324529
• Burlakov E.O., Verkhlyutov V.M., Malkov I.N. On well-posedness of a mathematical model of evoked activity in the primary visual cortex. Russian Universities Reports. Mathematics.. 2024. V. 29. N. 145. P. 43-50. DOI: 10.20310/2686-9667-2024-29-145-43-50.
• Vvedensky V.L., Verkhlyutov V.M., Gurtovoy K.G. The process of recognizing words involves switching the oscillation mode in a significant part of the cerebral cortex. // Tenth International Conference on Cognitive Science, 2024, Pyatigorsk, Russia. 2024. P. 65-66.
• Verkhlyutov V.M. Recognition of Oral Speech from MEG Data Using Covariance Filters. Neuroscience and Behavioral Physiology. 2024. V. 54. N. 3. P. 458-464. DOI: 10.1007/s11055-024-01612-y
• Verkhlyutov V.M. Speech Recognition from MEG Data Using Covariance Filters. Studies in Computational Intelligence. 2024. V. 1130 LNCS. P. 904-911. DOI: 10.1007/978-3-031-50381-8_98
• Vvedensky V., Verkhlyutov V., Gurtovoy K. One-Stage and Two-Stage Word Recognition Processes, Revealed by Multichannel MEG Measurements. Studies in Computational Intelligence, - 2024 (Neuroinformatics-2024).. 2024. DOI: 10.5281/zenodo.14242937
• Vvedensky V., Verkhlyutov V., Gurtovoy K. Spontaneous synchronization of oscillations between multiple cortical sites and exact fit of the wave crest with the onset of word recognition, significantly accelerate performing of a cognitive task. Studies in Computational Intelligence 2024 ( BICA*AI24). 2024. DOI: 10.5281/zenodo.14234496
• Vvedensky V., Verkhlyutov V.M., Gurtovoy K. Extended and Distant Cortical Areas Coordinate Their Oscillations Approaching the Instant of Decision Making During Recognition of Words. Studies in Computational Intelligence. 2024. V. 1130 LNCS. P. 956-961. DOI: 10.1007/978-3-031-50381-8_103
• Verkhlyutov V.M., Burlakov E.O., Gurtovoy K.G., Vvedensky V.L. Recognition of oral speech according to MEG data by covariance filters. Zh Vyssh Nerv Deiat I P Pavlova. 2023. V. 73. N. 6. P. 800-808. DOI: 10.31857/S0044467723060126
• Verkhlyutov V.M. Traveling waves of MEG somatosensory evoked responses. ZENODO. 2023. V. 7556979. DOI: 10.5281/zenodo.7556979
• Verkhlyutov V.M., Burlakov E.O., Vvedensky V.L., Gurtovoy K.G., Ushakov V.L. Recognition of Spoken Words from MEG Data Using Covariance Patterns. Studies in Computational Intelligence,. 2023. V. 1120. P. 165-172. DOI: 10.1007/978-3-031-44865-2_18
• Verkhlyutov V.M., Vvedensky V.L., Gurtovoy K.G., Burlakov E.O., Martynova O.V. Speech recognition from MEG data using covariance filters. bioRxiv. 2023. V. 546174v2. DOI: 10.1101/2023.06.22.546174
• Vvedensky V.L., Verkhlyutov V.M., Gurtovoy K.G. Permanent Sharp Switches in Brain Waves During Spoken Word Recognition. Studies in Computational Intelligence,. 2023. V. 1120. 135–140. DOI: 10.1007/978-3-031-44865-2_14
• Burlakov E., Verkhlyutov V., Ushakov V. A Simple Human Brain Model Reproducing Evoked MEG Based on Neural Field Theory. Studies in Computational Intelligence. 2022. V. 1008. P. 109-116. DOI: 10.1007/978-3-030-91581-0_15
• Panfilova E.A., Burlakov E.O., Verkhlyutov V.M. Traveling waves in the resting state are initiated by the connectome. Frontiers Event Abstract 6th HBP Student Conference on Interdisciplinary Brain Research. 2022. P. 56-59. DOI: 10.3389/978-2-88971-014-0
• Verkhlyutov V.M. MEG data during the presentation of Gabor patterns and word sets. ZENODO. 2022. V. 7458233. DOI: 10.5281/zenodo.7458233
• Verkhlyutov V.M., Burlakov E.O. MEG simulations using local propagation of traveling waves calculated using neural field equations. ZENODO. 2022. V. 7548183. DOI: 10.5281/zenodo.7548183
• Verkhlyutov V.M., Sokolov P.A., Mnatsakanian E.V. EEG (128 ch) on presentation of cardinal and oblique grids. ZENODO. 2022. V. 7496795. DOI: 10.5281/zenodo.7496795
• Burlakov E.O., Verkhlyutov V.M., Malkov I.I., Ushakov V.L. Assessment of Cortical Travelling Waves Parameters Using Radially Symmetric Solutions to Neural Field Equations with Microstructure. Studies in Computational Intelligence. 2021. V. 925 SCI. DOI: 10.1007/978-3-030-60577-3_5
• Verkhlyutov V.M., Burlakov E.O., Ushakov V.L., Velichkovsky B.M. Comparison of Simulated Macro- and Mesoscopic Cortical Traveling Waves with MEG Data. Advances in Intelligent Systems and Computing. 2021. V. 1358. P. 700-708. DOI: 10.1007/978-3-030-71637-0_81
• Burlakov E.O., Zhukovskiy E.N., Verkhlyutov V.M. Neural field equations with neuron‐dependent Heaviside‐type activation function and spatial‐dependent delay. Mathematical Methods in the Applied Sciences. 2020. DOI: 10.1002/mma.6661
• Gavron A.A., Deza-Araujo Y.I., Sharova E.V., Smirnov A., Knyazev G., Chelyapina-Postnikova M.V., Fadeeva L., Abdulaev A., Kulikov M.A., Zhavoronkova L.A., Boldyreva G.N., Verkhlyutov V.M., Pronin I. Group and Individual fMRI Analysis of the Main Resting State Networks in Healthy Subjects. Neuroscience and Behavioral Physiology. 2020. V. 50. N. 3. P. 288-297. DOI: 10.1007/s11055-020-00900-7
• Kozhukhov S.A., Ivanov R.S., Bugrova V.S., Verkhlyutov V.M., Ushakov V.L. Functional asymmetry of local connections in V1 and its impact on orientation tuning. Procedia Computer Science. 2020. V. 169. P. 620-639. DOI: 10.1016/j.procs.2020.02.201
• Sharova E.V., Kotovich Ju.V., Deza-Araujo Y.I., Smirnov K.S., Gavron A.A., Fadeeva L.M., Chelyapina-Postnikova M.V., Alexandrova E.V., Vronkova L.A., Boldyreva G.N., Verkhlyutov V.M., Kornienko V.N., Pronin I.N. fMRI resting state networks visualization in patients with severe traumatic brain injury. Medical Visualization. 2020. V. 24. N. 1. P. 68-84. DOI: 10.24835/1607-0763-2020-1-68-84
• Verkhlyutov V.M., Balaev V.V., Ushakov V.L., Velichkovsky B.M. A novel methodology for simulation of EEG traveling waves on the folding surface of the human cerebral cortex. Studies in Computational Intelligence. 2019. V. 799. P. 51-63. DOI: 10.1007/978-3-030-01328-8_4
• Knyazeva I., Poyda A., Orlov V., Verkhlyutov V.M., Makarenko N., Kozlov S., Velichkovsky B., Ushakov V. Resting state dynamic functional connectivity: Network topology analysis. Biologically Inspired Cognitive Architectures. 2018. V. 23. P. 43-53. DOI: 10.1016/j.bica.2017.10.001
• Skiteva L.I., Ushakov V.L., Verkhlyutov V.M. Analysis of Resting State according to the data of magnetoencephalography. Procedia Computer Science. 2018. V. 145. P. 520-525. DOI: 10.1016/j.procs.2018.11.116
• Velichkovsky B.M., Krotkova O.A., Kotov A.A., Orlov V.A., Verkhlyutov V.M., Ushakov V.L., Sharaev M.G. Consciousness in a multilevel architecture: Evidence from the right side of the brain. Consciousness and Cognition. 2018. V. 64. P. 227-239. DOI: 10.1016/j.concog.2018.06.004
• Verkhlyutov V.M., Balaev V.V. The method of modeling the human EEG by calculating radial traveling waves on the folded surface of the human cerebral cortex. bioRxiv. 2018. V. -. N. 242412. P. 1-28. DOI: 10.1101/242412
• Verkhlyutov V.M., Sharaev M., Balaev V., Osadtchi A., Ushakov V., Skiteva L., Velichkovsky B. Towards localization of radial traveling waves in the evoked and spontaneous MEG: A solution based on the intra-cortical propagation hypothesis. Procedia Computer Science. 2018. V. 145. P. 617-622. DOI: 10.1016/j.procs.2018.11.073
• Ushakov V.L., Sharaev M.G., Kartashov S.I., Zavyalova V.V., Verkhlyutov V.M., Velichkovsky B.M. Dynamic causal modeling of hippocampal links within the human default mode network: Lateralization and computational stability of effective connections. Frontiers in Human Neuroscience. 2016. V. 10. N. OCT2016. P. 528. DOI: 10.3389/fnhum.2016.00528
• Verkhlyutov V.M., Sokolov P.A., Ushakov V.L., Velichkovskii B.M. Macroscopic Functional Networks in the Human Brain on Viewing and Recalling Short Video Clips. Neuroscience and Behavioral Physiology. 2016. V. 46. N. 8. P. 934-941. DOI: 10.1007/s11055-016-0334-6
• Verkhlyutov V.M., Sokolov P.A., Ushakov V.L., Velichkovsky B.M. Macroscopic Functional Networks of the Human Brain when Viewing and Recalling Short Videos. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 2015. V. 65. N. 3. P. 333-343.
• Verkhlyutov V.M., MarIna I.V., Strelets V.B. Event-related spectral EEG power on presentation of pseudowords and words of the "animate" and "inanimate" categories. Neuroscience and Behavioral Physiology. 2014. V. 44. N. 1. P. 16-23. DOI: 10.1007/s11055-013-9866-1
• Verkhlyutov V.M., Ushakov V.L., Sokolov P.A., Velichkovsky B.M. Large-scale network analysis of imagination reveals extended but limited top-down components in human visual cognition. Psychology in Russia: State of the Art. 2014. V. 7. N. 4. P. 4-19. DOI: 10.11621/pir.2014.0401
• Ushakov V.L., Verkhlyutov V.M., Sokolov P.A., Ublinskii M.V., Strelets V.B., Agrafonov A.Y., Petryaikin A.V., Akhadov T.A. Activation of brain structures demonstrated by fMRI data on viewing video clips and recall of the actions shown. Neuroscience and Behavioral Physiology. 2013. V. 43. N. 1. P. 46-55. DOI: 10.1007/s11055-012-9689-5
• Verkhlyutov V.M., Marina I.V., Strelets V.B. Evoked spectral EEG power during presentation of pseudowords and words from "animate" and "inanimate" categories. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 2012. V. 62. N. 5. P. 553-562.
• Ushakov V.L., Verkhlyutov V.M., Sokolov P.A., Ublinsky M.V., Strelets V.B., Agrafonov A.Y., Petryajkin A.V., Akhodov T.A. Activation of brain structures by fMRI data when viewing the video clips and recall of shown actions. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 2011. V. 61. N. 5. P. 553-564.
• Verkhlyutov V.M., Gapienko G.V., Ushakov V.L., Portnova G.V., Verkhlyutova I.A., Anisimov N.V., Pirogov Y.A. MRI morphometry of the cerebral ventricles in patients with attention deficit hyperactivity disorder. Neuroscience and Behavioral Physiology. 2010. V. 40. N. 3. P. 295-303. DOI: 10.1007/s11055-010-9256-x
• Verkhlyutov V.M., Gapienko G.V., Ushakov V.L., Portnova G.V., Verkhlyutova I.A., Anisimov N.V., Pirogov Y.A. MRI morphometry of the brain ventricles in patients with attention-deficit hyperactivity disorder. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 2009. V. 59. N. 1. P. 34-44.
• Verkhlyutov V.M., Ushakov V.L., Strelets V.B. Decrease in N170 evoked potential component latency during repeated presentation of face images. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 2009. V. 59. N. 3. P. 307-317.
• Tkachenko O.N., Frolov A.A., Verkhlyutov V.M. Application of boundary element method for more accurate localization of EEG dipole sources. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 2008. V. 58. N. 2. P. 247-254.
• Stavtsev A.Y., Ushakov V.L., Verkhlyutov V.M. Modeling the effect of the layer thickness and tissue conductivities of the head and the brain on the EEG potentials using finite element method. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 2007. V. 57. N. 6. P. 742-752.
• Verkhlyutov V.M., Shuchkin Y.A., Ushakov V.L., Strelets V.B., Pirogov Y.A. Estimation of localization and dipole moment of alpha- and theta-rhythm sources by cluster analysis in healthy subjects and schizophrenics. Zhurnal Vysshei Nervnoi Deiatelnosti im I P Pavlova. 2006. V. 56. N. 1. P. 47-55.
• Shevelev I.A., Bark E.D., Verkhlyutov V.M. The visual cortex alpha-scanning: EEG and magnetic resonance tomography data. Rossijskij Fiziologicheskij Zhurnal im I M Sechenova. 2001. V. 81. N. 8. P. 1050-1059.
• Shevelev I.A., Kamenkovich V.M., Bark E.D., Verkhlutov V.M., Sharaev G.A., Mikhailova E.S. Visual illusions and travelling alpha waves produced by flicker at alpha frequency. International Journal of Psychophysiology. 2000. V. 39. N. 1. P. 9-20. DOI: 10.1016/S0167-8760(00)00105-7