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On basic problems of image recognition in neurosciences and heuristic methods for their solution

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Abstract

The paper describes the possibilities and main results of mathematical and informational approaches to automating the analysis, recognition, and evaluation of images in brain research. The latter are conducted in such essential sectors of neuroscience as molecular and cellular neuroscience, behavioral neuroscience, systemic neuroscience, developmental neuroscience, cognitive neuroscience, theoretical and computational neuroscience, neurology and psychiatry, neural engineering, neurolinguistics, and neurovisualization. An important direction in simulating diseases, including diseases of the brain and their diagnoses, is the obtaining, storage, processing, and analysis of data extracted from digital images. The theoretical and methodical basis of automating the processing, analysis, and evaluation of experimental data obtained in brain research consists of the mathematical theory of image recognition and mathematical theory of image analysis. The paper presents examples of mathematical and informational approaches to automate the processing, analysis, and evaluation of microimages of neurons for constructing preclinical models of Parkinson’s disease.

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Authors and Affiliations

  1. Dorodnicyn Computing Center, Russian Academy of Sciences, ul. Vavilova 40, Moscow, 119333, Russia

    I. B. Gurevich, A. A. Myagkov, Yu. O. Trusova, V. V. Yashina & Yu. I. Zhuravlev

Authors
  1. I. B. Gurevich
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  2. A. A. Myagkov
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  3. Yu. O. Trusova
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  4. V. V. Yashina
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  5. Yu. I. Zhuravlev
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Correspondence to I. B. Gurevich.

Additional information

Igor’ B. Gurevich. Born 1938. Dr. Eng. (Diploma Engineer (Automatic Control and Electrical Engineering), 1961, Moscow Power Engineering Institute, Moscow, USSR); Dr. (Theoretical Computer Science/Mathematical Cybernetics), 1975, Moscow Institute of Physics and Technology, Moscow, USSR. Head of department at the Dorodnicyn Computing Centre of the RAS, Moscow; assistant professor at the Faculty of Computational Mathematics and Cybernetics, Moscow State University. Since 1960, has worked as an engineer and researcher in industry, medicine, and universities and in the Russian Academy of Sciences. Area of expertise: image analysis; image understanding; mathematical theory of pattern recognition; theoretical computer science; pattern recognition and image analysis techniques for applications in medicine, nondestructive testing, and process control; knowledge bases; knowledge-based systems. Two monographs (in coauthorship); 278 papers on pattern recognition, image analysis, and theoretical computer science and applications in peer-reviewed international and Russian journals and conference and workshop proceedings; one patent of the USSR and four patents of the RF. Scientific secretary of the National Committee for Pattern Recognition and Image Analysis, member of the governing board of the International Association for Pattern Recognition (representative of the Russian Federation), IAPR fellow. He has served as PI of many research and development projects as part of national research (fundamental and applied) programs of the Russian Academy of Sciences, the Ministry of Education and Science of the Russian Federation, the Russian Foundation for Basic Research, the Soros Foundation, and INTAS. Deputy Editor-in-Chief of Pattern Recognition and Image Analysis, International Academic Publishing Company “Nauka/Interperiodica,” Pleiades Publishing.

Yurii I. Zhuravlev. Born 1935. Graduated Moscow State University 1957. Defended doctoral dissertation 1965. Professor since 1967 and RAS academician since 1992. Currently assistant director of RAS Dorodnicyn Computing Center, deputy academician-secretary of RAS Division of Mathematical Sciences, and department head at Moscow State University. Editor-in-chief of journal Pattern Recognition and Image Analysis. International member of Spanish Royal Academy of Sciences, National Academy of Sciences of Ukraine, and European Academy of Sciences. Laureate of Lenin and Lomonosov prizes. Scientific interests: mathematical logic, control systems theory, mathematical theory of pattern recognition, image analysis, prediction, operations research, artificial intelligence.

Artem A. Myagkov. Born 1988. Graduated specialist from Department of Computational Mathematics and Cybernetics, Moscow State University 2010. Currently graduate student at RAS Dorodnicyn Computing Center. Scientific interests: pattern recognition and image analysis. Coauthor of ten papers. At Ninth International Conference “Pattern Recognition and Image Analysis: New Information Technologies” (Nizhni Novgorod, 2008) received honorary award for best report presented by a young scientist. Won second place in image classification competition while participating in Microsoft summer school on computer vision 2011.

Yuliya O. Trusova. Born 1980. Graduated from the Faculty of Computational Mathematics and Cybernetics of Moscow State University in 2002. Received a candidate’s degree (theoretical foundations of computer science) in 2009. Works at RAS Dorodnicyn Computing Centre (Moscow) as leading research scientist in Department of Mathematical and Applied Problems of Image Analysis. Scientific interests are mathematical theory of pattern recognition and image analysis, knowledge bases, knowledge-based systems, and ontological development. Coauthor of more than 50 papers. Member of the National Committee of RAS for Pattern Recognition and Image Analysis.

Vera V. Yashina. Born 1980. Graduated Department of Computational Mathematics and Cybernetics, Moscow State University, 2002, with specialty of mathematician, systems programmer. Candidate of physicomathematical sciences (specialty: theoretical foundations of computer science), RAS Dorodnicyn Computing Center 2009. Currently employed as senior researcher at Dorodnicyn Computing Center. Scientific interests: theoretical basics of analyzing and evaluating information in the form of images, image algebra, image formalization space, medical and biological applications. More than 50 publications in peer-reviewed journals (as coauthor). Several times awarded for best reports of young scientists presented at international conferences: Seventh International Conference of Pattern Recognition and Image Analysis: New Information Technologies, Seventh Open German-Russian Workshop on Pattern Recognition and Image Analysis, Eighth International Conference on Pattern Recognition and Image Analysis: New Information Technologies, and Ninth International Conference on Pattern Recognition and Image Analysis: New Information Technologies.

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Gurevich, I.B., Myagkov, A.A., Trusova, Y.O. et al. On basic problems of image recognition in neurosciences and heuristic methods for their solution. Pattern Recognit. Image Anal. 25, 132–160 (2015). https://doi.org/10.1134/S105466181501006X

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