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Stepanyan I.V., Mekler A.A. (2020) Chaotic Algorithms of Analysis of Cardiovascular Systems and Artificial Intelligence. In: Hu Z., Petoukhov S., He M. (eds) Advances in Artificial Systems for Medicine and Education III. AIMEE 2019. Advances in Intelligent Systems and Computing, vol 1126. Springer, Cham, pp. 231-240, https://doi.org/10.1007/978-3-030-39162-1_21
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Sharafat A. Mirzakulova, Vyacheslav P. Shuvalov, Aleksey A. Mekler. Studying Network Traffic Using Nonlinear Dynamics Methods // Journal of Theoretical and Applied Information Technology, 2017, Vol. 95, No 21, pp 5869-5880
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Guillemard D., Galperina E. I., Panasevich E. A., Kats E. E., Mekler A. A., Nagornova Z. V., Shemyakina N. V. EEG-correlates of Complex Syntactic Constructions Processing In Russian-Speaking Children Of 5–6 Years Old//Clinical Pathophysiology, Volume 22, Issue 1. 2016, pp.80-91.
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V. V. Dmitrenko, A. V. Iershov, P. I. Stetsyuk, A. P. Lykhovid, Yu. P. Laptin, D. R. Schwartz, A. A. Mekler, and V. M. Kavsan. Determination of Molecular Glioblastoma Subclasses on the Basis of Analysis of Gene Expression// Cytology and Genetics, 2014, Vol. 48, No. 6, pp. 383–391. (In Russian: В.В. Дмитренко, А.В. Ершов, П.И. Стецюк, А.П. Лиховид, Ю.П. Лаптин, А.А. Меклер, В.М. Кавсан, Д.Р.Шварц. Определение молекулярных подклассов глиобластом на основе анализа экспрессии генов.//Цитология и генетика, 2014, Т. 48, №. 6, стр. 45–55.
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A.A. Mekler, D.R. Schwarz, Quality Assessment of Data Discrimination Using Self-Organizing Maps.// Journal of Biomedical Informatics, 51 (2014) 210–218
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A.A. Mekler, I. Kniazeva, D.R. Schwartz, Y.A. Kuperin, V.I. Rimar, V.V. Dmitrenko, V.M. Kavsan. Glioblastoma Gene Expression Profile Diagnostics by the Artificial Neural Networks.// Optical Memory and Neural Networks (Information Optics), Vol. 19, No. 2, 2010, 181-186
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Y.A. Kuperin, A.S. Minin, A.A. Mekler, S. P. Romanov. Application of Adaptive Classification of Tensotremorograms for Revealing the Pathological States of Human Motor Control System.//Optical Memory and Neural Networks (Information Optics), 2009, Vol. 18, No. 4, pp. 304–311.
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A. Mekler. Calculation of EEG correlation dimension: Large massifs of experimental data.// Computer Methods and Programs in Biomedicine, 92, (2008), 154–160.
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Lang, T. Poppe, A. Minin, I. Mokhov, Y. Kuperin, A. Mekler, and I. Liapakina, Neural Clouds for Monitoring of Complex Systems. // Optical Memory and Neural Networks (Information Optics), 2008, Vol. 17, No. 3, pp. 183–192.
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Mekler A., Muss A., Galperina E., Kruchinina O. The Relation of Sign and Kind of Emotions during Video Clips Watching and EEG Systemic and Informational Characteristics. // The 24th ISFN Annual Meeting December 20-22, 2015, p.60, http://www.isfn.org.il/annual-meeting/program
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Mekler A., Spiridonov E., Muss A., Kruchinina O. The brain systemic and information processes while listening to different kinds of music. // The 24th ISFN Annual Meeting December 20-22, 2015, p.62-63, http://www.isfn.org.il/annual-meeting/program
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Mekler A.A., Vishnevetskaya E.V. The ability of the 4 – 6 y.o. children to recognize and express emotions and the brain maturation.// Journal of Molecular Neuroscience - abstracts of the ISFN annual meeting and the 2nd Binational Italy-Israel Neuroscience (2014) 53 (Suppl 1):S1–S137 (S86).
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Mekler A.A., Knyazeva I.S., Dmitrenko V.V., Iershov A.V., Kavsan V.M. Identification of the genes for the glioblastoma subtyping by Kohonen self-organizing maps.// Journal of Molecular Neuroscience - abstracts of the ISFN annual meeting and the 2nd Binational Italy-Israel Neuroscience (2014) 53 (Suppl 1):S1–S137 (S87).
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A.A.Mekler, I.A.Gorbunov, S.Y.Bolotova. The relation of the “moral” emotions sphere dysfunction with the EEG specifics in the schizophrenia patients who did socially dangerous acts.//The international conference “Actual Problems of Psychology and Law Victims and witnesses: from research to effective practice”, 2014, June 24–27, St. Petersburg. Abstracts. p 235-236.
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Alexey A. Mekler, Sergey V. Borisenok. EEG Informational Code Dependence on the Functional State: General Trends and Characteristic Period// International Journal of Psychophysiology 94(2), 2014, 190. PROCEEDINGS OF THE 17th World Congress of Psychophysiology (IOP2014) of the International Organization of Psychophysiology (IOP) Hiroshima, Japan, September 23rd to 27th, 2014
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Alexey A. Mekler, Akio Mori, Kazuma Oki, Ryo Koshizawa, Masaki Takayose, Nahoko T Minakawa, Vladimir S. Orlov, Elizaveta Galperina. The Study of EEG Complexity in the Positive and Negative Emotions Induced by Music.// International Journal of Psychophysiology 94(2), 2014, 190-191. PROCEEDINGS OF THE 17th World Congress of Psychophysiology (IOP2014) of the International Organization of Psychophysiology (IOP) Hiroshima, Japan, September 23rd to 27th, 2014
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Alexey A. Mekler, Ivan Gorbunov, Vladimir Gavrilov. Systemic Processes in Brain: the EEG Study on Emotions of Different Hierarchical Level and Sign.// International Journal of Psychophysiology 94(2), 2014, 191. PROCEEDINGS OF THE 17th World Congress of Psychophysiology (IOP2014) of the International Organization of Psychophysiology (IOP) Hiroshima, Japan, September 23rd to 27th, 2014
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Горбунов И.А. Меклер А.А. Использование критерия автоинформативности для изучения физиологических механизмов эмоций в психофизиологическом эксперименте// Четвёртая международная конференция по когнитивной науке: Тезисы докладов: В 2 т. Томск, 22–26 июня 2010 г. – Томск: Томский государственный университет, 2010. Т. 1: – 283 с., стр. 223-225.
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A.A. Mekler, L.A. Dmitrieva, A.S. Minin, D.G. Schwarz, Y.A. Kuperin, S.P. Romanov. Implementing of the artificial intelligence for classification of isometrically applied force tremor for neuromuscular system disorders diagnostics.//Clinical Neurophysiology, Volume 121, Supplement 1, October 2010, Page S239.
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A.A. Mekler, L.A. Dmitrieva, Y.A. Kuperin and I.N. Sedlinsky. Empirical mode decomposition products complexity in EEG studies: influence of functional state.//Clinical Neurophysiology, Volume 121, Supplement 1, October 2010, Page S247.
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A.A. Mekler, L.A. Dmitrieva, Yu. Kuperin. Chaos, Multifractals And EMD-decomposition In Analysis Of The EEG Signal Structure. // Proceedings of the XXXVI International Congress of Physiological Sciences (IUPS2009) “Function of Life: Elements and Integration” July 27–August 1, 2009, Kyoto, Japan, The J. of Physiol. Sci. Vol. 59, Sup. 1, 2009, 528
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Mekler A.A., Kuperin Y.A., Minin A.S., Dmitrieva L.A., Romanov S.P., Kovalev V.A., Kropotov Y.D., Neural Clouds for Classification of Tremorograms for Identification of Human Motor System Disorders. // Proceedings of the XXXVI International Congress of Physiological Sciences (IUPS2009) “Function of Life: Elements and Integration” July 27–August 1, 2009, Kyoto, Japan, The J. of Physiol. Sci. Vol. 59, Sup. 1, 2009, 451
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A. A. Mekler. The EEG Complexity, Psychic Processes and Behavior. // International Journal of Psychophysiology 69 (2008) 258–259
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A. A. Mekler, E. V. Vishnevetskaya. Human brain maturation and ability to recognize and express emotions: A study of preschool aged children // International Journal of Psychophysiology 69 (2008) 156.
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Меклер А.А., Болотова Е.В. Особенности нелинейной динамики ЭЭГ детей дошкольного возраста. //В: Вторая международная конференция по когнитивной науке: Тезисы докладов: В 2 т. Санкт-Петербург, 9 – 13 июня 2006 г. – С.-Пб.: Филологический факультет СПбГУ, 2006. Т.2: 326 стр., стр. 363-364.
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Меклер А.А. Помехоподавляющий трансформатор// “51-я научно-техническая конференция профессорско-преподавательского состава, научных сотрудников и аспирантов. Тезисы докладов.” С.-Пб., издательство СПбГУТ, 1998, стр. 41.
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Меклер А.А. Предусилитель-корректор для электромагнитного звукоснимателя// “50-я научно-техническая конференция студентов и молодых специалистов. Тезисы докладов.” С.-Пб., издательство СПбГУТ, 1996, стр. 3.