Valentina I. Gusakova

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: valentina@nisms.krinc.ru

Valentina I.Gusakova, PhD in Computer Science (1996, thesis: "Development of bionic algorithms for invariant recognition of gray-level images"), senior researcher.
Scientific interests of Valentina Gusakova include:

  • modeling realistic neural networks;
  • developing models of invariant image recognition based on imitating mechanisms of biological vision;
  • methods for analyzing data of neurophysiological experiments.

    Valentina Gusakova has more then 60 publications in Russian and international editions.
    She participated in several international projects (Theoretical and Experimental Study of the Context Vision with Application to Robot Control Problems "Robot Vision II", Invariant Image Recognition by Identification of Their Most Informative Regions).
    Valentina Gusakova was the principal investigator of the RFBR grant N 98-01-00948 "Bionic algorithms and models of contex coding image elements for invariant recognition" (1998-2000).
    Valentina Gusakova carried out research in several laboratories abroad:

  • LACOS, University Le Havre, France.
  • University of Antwerpen, Belgium.

    Selected publications of Valentina Gusakova:

    1. Podladchikova L.N., Shaposhnikov D.G., Tikidji – Hamburyan A.V., Koltunova T.I., Bondar G.G., Gusakova V.I., Golovan A.V. Integrated approach to study the mechanisms of images viewing // In proc. of "Neuroinformatic-2008". - 2009. (in press, in Russian)

    2. Shevtsova N. A., Golovan A. V., Podladchikova L. N., Gusakova V. I., Shaposhnikov D.G., Faure A. Estimation of Motion Parameters by Retina-Like Neural Network Model. Neurocomputers for Image and Signal Processing. Springer Verlag GmbH, 2008 (in press).

      3. Shaposhnikov D.G., Bondar G.G, Gusakova V.I., Podladchikova L.N. TRAFFIC SIGNS RECOGNITION IN MODEL AND EXPERIMENT // In proc. of "Neuroinformatic-2007", 2007, v.2., pp.259-266..

    3. 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.

    4. Podladchikiva, L.N., Tikidji-Hamburyan, R.A., Bondar, G.G., Gusakova, V.I., Ivlev, S.A., Dunin-Barkowski, W.L. Temporal dynamics of activity of "fast" and "slow" neurons in the visual cortex and cerebellum. Neurocomputers: development and application, 2004, No 11, 50-62 (in Russian).

    5. Shaposhnikov, D.G., Gusakova, V.I., Podladchikiva, L.N. Dynamics of neuronal interactions in the visual cortex. Proceedings of the XIX Meeting of I.M. Sechenov Physiological Society, Part 1, Russian Proceedings of the I.M Sechenov Phyisiological Journal, Application, 2004, V. 90, No 6, 354 (in Russian). Dynamics of neuronal interactions in the visual cortex. Proceedings of the XIX Meeting of I.M. Sechenov Physiological Society, Part 1, Russian Proceedings of the I.M Sechenov Phyisiological Journal, Application, 2004, V. 90, No 6, 354 (in Russian).

    6. 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.

    7. 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.

    8. 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).

    9. V.I. Gusakova, L.N. Podladchikova, D.G. Shaposhnikov, S.N. Markin, A.V. Golovan, S.W. Lee. Advanced biologically-plausible algorithms for low-level image processing. In: "Intelligent Robots and Computer Vision XVIII: Algorithms, Techniques, Active Vision, and Materials Handling", D.P. Casasent, Editor, Proc. SPIE, 1999, V. 3837, 377-386.

    10. Gusakova V.I., Shaposhnikov, D.G., Podladchikova, L.N. Possible mechanisms of image viewing: model and experiment. Proceedings of the All-Russian Conference "Neuroinformatics 99", Moscow, MEPHI, 1999, V. 2, 148-154 (in Russian).

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

    12. Lubov N. Podladchikova, Valentina I. Gusakova, Dmitry G. Shaposhnikov, Alain Faure, Alexander V. Golovan, and Natalia A. Shevtsova. MARR: Active vision model. In: "Intelligent Robots and Computer Vision XVI: Algorithms, Techniques, Active Vision, and Materials Handling", D.P. Casasent, Editor, Proc. SPIE, 1997, V. 3208, 418-425.

    13. Shaposhnikov, D.G., Gusakova, V.I., Podladchikova, L.N. Methods for study of sensory mechanisms of gaze switching. VINITI, No 3697, Â-97, 19.12.97, 14 pp., Rostov-on-Don, RSU (in Russian).

    14. Gusakova, V.I., Rybak, I.A., Podladchikova, L.N., Golovan, A.V., Shevtsova, N.A. Invariant object representation and recognition by "attention window" and specific viewing trajectory. Transactions of higher educational institutions, Radiophysics, 1994, V. 37, No 9, 1173-1182 (in Russian).

    15. I.A. Rybak, A.V. Golovan, V.I. Gusakova, N.A. Shevtsova, L.N. Podladchikova. A neural network system for active visual perception and recognition. Neural Network World, 1991, V. 1, No 4, 245-250.