Natalia A.Shevtsova

Laboratory for neuroinformatics of sensory and motor systems

A.B.Kogan Research Institute for Neurocybernetics
Southern Federal University
194/1 Stachka Avenue
344090, Rostov-on-Don
Russia

Tel: +7 (863) 2433744
Fax: +7 (863) 2433577
E-mail: natalia@nisms.krinc.ru

Natalia A. Shevtsova, PhD in Computer Science (1996, thesis: "Study and modeling of algorithms of primary processing of visual information in neuron systems"), senior researcher.
Scientific interests of Natalia Shevtsova include:

  • modeling realistic neural networks simulating various brain structures;
  • mechanisms of sensory-motor integration and neural control;
  • modeling systems for invariant image recognition based on biological prototypes;
  • modeling mechanisms of brain asymmetry in visual information processing;

    She published more than 80 articles in Russian and international editions.
    In 1994, the article in Neurocomputing (Elsevier Sci. Pub.) coauthored by Natalia Shevtsova was granted the Best Paper Award for the excellent contribution. Natalia Shevtsova participated in several projects on modeling neuron mechanisms of biological vision and developing artificial vision models, in RFBR grants and international projects (Theoretical and Experimental Study of the Context Vision with Application to Robot Control Problems "Robot Vision II" и Invariant Image Recognition by Identification of Their Most Informative Regions).
    She worked as a visiting researcher in several laboratories abroad:

  • LACOS, University Le Havre, France
  • University of Maryland, USA
  • Middlesex University, UK
  • Drexel University, Philadelphia, USA Natalia Shevtsova is the principal investigator of the joint international project with the School of Biomedical Engineering, Drexel University, Philadelphia, USA

    Selected publications of Natalia Shevtsova

    1. Gao X., Hong K, Podladchikova L., Shaposhnikov D., Shevtsova N., Passmore P. Recognition of Traffic Signs based on Vision Models. // Submited to the Computer Vision and Image Understanding, 2006, Manuscript number CVIU-06-359.

    2. Gao X.W., Podladchikova L., Shaposhnikov D., Hong K., Shevtsova N. Recognition of traffic signs based on their colour and shape features extracted using human vision models. // J. Visual Communication and Image Representation. - 2006. - 17. - p.675-685.

    3. Rybak I. A., Shevtsova N. A., Lafreniere-Roula M., and McCrea D. A. Modelling spinal circuitry involved in locomotor pattern generation: insights from deletions during fictive locomotion. // J. Physiol., 2006, 577.2, 617-639.

    4. Rybak I. A., Stecina K., Shevtsova N. A., and McCrea D. A. Modelling spinal circuitry involved in locomotor pattern generation: insights from the effects of afferent stimulation. // J. Physiol. Lond. 2006, 577.2, 641-658.

    5. Shevtsova N.A., Markin S.N., Rybak I.A. A POSSIBLE ROLE OF THE PONS IN NORMAL RESPIRATORY RHYTHM GENERATION: INSIGHTS FROM COMPUTATIONAL MODELING. // В сб.: Проблемы нейрокибернетики, Ростов-на-Дону, 2005, т. 2, 234-237.

    6. Rybak I., Gusakova V., Golovan A., Podladchikova L., Shevtsova N. Attention-guided recognition based on "What" and "Where" representations: a behavioral model. Neurobiology of Attention (Eds. L. Itti, G. Rees and J. Tsotsos). Elsevier, Academic, 2005, 663-670.

    7. Shevtsova, N.A., Markin, S.N., Ryba,k I.A. Generation of respiratory rhythm in ponto-medullary neural network model. Neurocomputers: Development and Application, 2004, No 11, 26-40 (in Russian).

    8. Pierrefiche O., Shevtsova N.A., St.-John W.M., Paton J.F.R., and Rybak I.A. Ionic currents and endogenous rhythm generation in the pre-Botzinger Complex: Modelling and in vitro studies. Advances in Experimental Medicine and Biology, 2004, No 551, 121-126.

    9. Rybak I.A., Shevtsova N.A., Paton J.F.R., Pierrefiche O., Walter M. S.-J., Akira H. Modelling respiratory rhythmogenesis. Focus on phase switching mechanisms. Advances in Experimental Medicine and Biology, 2004, No 551, 189-194.

    10. Rybak I.A., Shevtsova N.A., Ptak K., McCrimmon D.R. Intrinsic bursting activity in the pre-Botzinger Complex: Role of persistent sodium and potassium currents. Biological Cybernetic, 2004, V. 90, 59-74.

    11. Rybak I.A, Lafreniere-Roula M., Shevtsova N.A., McCrea D.A. A two layer model of the spinal locomotor CPG: insights from deletions of activity during fictive locomotion. Society for Neuroscience, 2004, Abstract 883.3.

    12. McCrea D.A., Shevtsova N.A., Stecina K., Rybak I.A. Modelling proprioceptive sensory control of the mammalian locomotor CPG. Society for Neuroscience, 2004, Abstract 883.4.

    13. Rybak I.A., Shevtsova, N.A., Paton J.F.R., Dick T.E., St-John W.M., Morschel M., and Dutschmann M. Modeling the ponto-medullary respiratory network. Respiratory Physiology and Neurobiology, 2004, No 143, 307-319.

    14. Gao X,. Shevtsova N,. Hong K, Batty S., Podladchikova L., Golovan A,. Shaposhnikov D., Gusakova V. Vision models based identification of traffic signs. In proc. of First European Conf. on Color in Graphics, Image and Vision, Poitiers, France, 2-5 April, 2002, 47-51.

    15. Gao X., Shevtsova N., Hong K., Batty S., Podladchikova L., Golovan A., Shaposhnikov D., Gusakova V. A new approach to traffic sign recognition. In Proc. of The Int. Conf. on Imaging Science, Systems, and Technology, USA, June 24-27, 2002, V. 2, 736-741.

    16. Shaposhnikov, D.G., Golovan, A.V., Podladchikiva, L.N., Shevtsova, N.A., Gao X.W., Gusakova, V.I., Gizatdinova, Yu.F. Application of behavioral model of vision to invariant recognition of facial and traffic sign images. Neurocomputers: Development and Application, 2002, No 7-8, 21-33 (in Russian).

    17. Shevtsova, N.A., Golovan, A.V., Podladchikova, L.N., Gusakova, V.I., Faure, A. Neural network model of foveal visual preprocessor. Neurocomputers: Development and Application, 2001, V. 2, 63-71 (in Russian).

    18. Golovan, A.V., Shevtsova, N.A., Podladchikova, L.N., Markin, S.N., Shaposhnikov, D. Detection of face informative regions by local features. Neurocomputers: Development and Application. 2001, No 1, 50-57 (in Russian).

    19. Shevtsova N., Reggia J. Interhemispheric effects of simulated lesions in a neural model of letter identification, Brain and Cognition, 2000, V. 44, 577-603.

    20. Shevtsova N., Reggia J. Lateralization in a bihemispheric model of letter identification, Model of Letter Identification, Neurocomputing, 1999, V. 26-27, 875-880.

    21. Shevtsova N., Reggia J. A Neural Network Model of Lateralization during Letter Identification. Journal of Cognitive Neuroscience, 1999, V.11, No 2, 167-181.

    22. Rybak I., Gusakova V., Golovan A., Podladchikova L., Shevtsova N. A model of attention-guided visual perception and recognition. Vision Research, 1998, V. 35, No 15-16, 2387-2400.

    23. Shevtsova N., Faure A., Klepatch A., Podladchikova L., Golovan A., Rybak I. Model of foveal visual preprocessor. In: PHOTONICS EAST'95. Proc. of SPIE, Philadelphia, PA, USA, 1995, V. 2588, 588-597.

    24. Faure A., Rybak I., Golovan A., Cachard O., Shevtsova N., Podladchikova L. RETINA: Model of visual information processing in the retinal neural network. In: Proc. of International Conference on Artificial Neural Networks (ICANN'94), Sorrento, Italy, 1994, V. 1, 22-25.

    25. Faure A., Shevtsova N., Golovan A., Klepatch A., Cachard O., Rybak I. Modeling of some spatio-temporal aspects of visual information processingin the retinal neural network. In: Proc. of the 12-th International Conference on Pattern Recognition (ICPR). Vol. II. "Pattern Recognition and Neural Networks". IEEE Comp. Soc. Press, 1994, 491-493.

    26. Shevtsova N., Rybak I., Podladchikova L., Golovan A. Temporal and spatial filtration of oriented image elements in the visual cortex, Neural Network World, 1992, No 2, 175-180.

    27. Rybak I., Shevtsova N., Sandler V. A model of the neural network visual preprocessor, Neurocomputing, No 4, 1992, 93-102.

    28. Rybak, I., Shevtsova, N., Sandler, V. Neural networks for problems of image processing and analizing and visual image recognotion. Advances in Science and Technology, Series "Physical and mathematical models of neural networks", Moscow, 1992, V. 4, 96-135.

    29. Rybak I., Podladchikova L., Shevtsova N., Golovan A. A visual cortex domain model and its use for visual information processing, Neural Networks, 1991, No 4, 3-13.

    30. Shevtsova N., Rybak I., Podladchikova L., Golovan A. Temporal and spatial discrimination of image features in the visual cortex. In: Theoretical Aspects of Neural Networks, (Eds. M. Novak and E. Pelican), World Sci. Pub. Co., 1991, 259-276.

    31. Rybak I., Golovan A., Gusakova V., Shevtsova N., Podladchikova L. A neural network system for active visual perception and recognition. Neural Network World, No 1, 1991, 245-250.

    32. Podladchikova L., Rybak I., Shevtsova N., Golovan A. Filtration of oriented image elements and feature discrimination in the visual cortex. In: Neurocomputers and Attention, Vol. 1, "Neurobiology, Synchronization and Chaos" (Eds. A.Holden and V.Krukov). Manchester University Press, 1990, 81-96.

    33. Rybak I., Shevtsova N., Podladchikova L., Sandler V. Modeling of neural organization of the visual cortex and some issues of image processing by neuron-like networks. In: Neural Networks: Theory and Architecture, (Eds. A. Holden and V. Krukov). Manchester University Press, 1990, 117-137.

    34. Rybak, I., Shevtsova, N., Podladchikova, L., Golovan, A. Reflection of stimulus orientation in visual cortex neuron responses. Biophysics, V. 33, No 4, 667-671 (in Russian).