Laboratory for neuroinformatics of sensory and motor systems, head
A.B.Kogan Research Institute for Neurocybernetics
Lubov N. Podladchikova, PhD in Biological Science (1972, thesis "Dynamics of functional
organization of visual cortex neurons by changing excitation level", scientific
supervision by Professor A.B.Kogan), senior researcher.
Research interests of Lubov Podladchikova include:
Lubov Podladchikova works in a close cooperation with researchers in computational
neuroscience. She had developed a method of carrying out of joint modeling and
experimental research. Lubov Podladchikovaha published more then 120 articles in international
and Russian editions.
She is a supervisor of students' research work at different levels including PhD.
Lubov Podladchikova is a Principal investigator of international cooperation projects, RFBR grants, projects on "Universities of Russia" Program.
She is an Organizing Committee member on several international conferences and reviewer in international scientific journals.
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)
Podladchikova L.N., Bondar G.G., Ivlev S.A., Tikidji–Hamburyan R.A., Dunin-Barkowski W.L. Activity dynamics of the cerebellar Purkinje cells at complex spike duration change. // Biophizika. – 2008. - v.53. – Ç. - pp.488-494. (in Russian)
Anishchenko S., Osinov V., Shaposhnikov D., Podlachikova L., Comley R., Gao X.W. Toward a Robust System to Monitor Head Motions during PET Based on Facial Landmark Detection: a New Approach. // In proc. 21-st IEEE Int. Symp. On Comp.-Based Med. Sys. - Finland, 2008. – ðp. 50-52.
Anishenko S., Osinov V., Shaposhnikov D., Podladchikova L., Comley R., Sukholentsev K., Gao X. A Motion Correction System for Brain Tomography Based on Biologically Motivated Models. // In Proc. 7-th IEEE Int. Conf. on Cybernetic Intelligent Sys.. – London, UK, 2008. – pp. 32-36.
Anishenko S., Shaposhnikov D., Podladchikova L., Comley R., Sukholentsev K., Gao X. W. Head Motion Monitoring Based on Foveal Approach and Local Facial Landmark Detection (Russian version) // In Proc. of 9-th Int. Conf. on Pattern Recognition and Image Analisys: New Information Technologies (PRIA-9-2008). - Nizhni Novgorod, Russia, 2008. – v.1. – pp. 11-14.
Gao X., Hong K., Podladchikova L., Shaposhnikov D. and Passmore P. Colour Appearance Based Approaches for Segmentation of Traffic Signs. // EURASIP Journal on Image and Video Processing. – 2008. - v.2008. - Article ID 386705. - doi:10.1155/2008/386705, - 7 pages.
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).
Gao X.W., Anishenko S., Shaposhnikov D., Podlachikova L., Batty S., and Clark J. High-Precision Detection of Facial Landmarks to Estimate Head Motions Based on Vision Models. // Journal of Computer Science, 3 (7): P. 528-532, 2007.
Gao X.W., Batty S., Podlachikova L., Shaposhnikov D., Clark J. Detection of head motions using a vision model. // In Proc. of 3-d IASTED Int. Conf. TELEHEALTH. - 2007. - P. 167-171.
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.
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.
S.N. Markin, L.N. Podladchikova, and W.L. Dunin-Barkowski Method to Detect Impulses of Various Duration Generated by Purkinje Cells of Cerebellar Cortex. // Pattern Recognition and Image Analysis, V. 15, No 6, 672-675.
Podladchikova, L.N., Tikidji-Hamburyan R.A., Bondar G.G., Ivlev S.A., W.L. Dunin-Barkowski Pecularities of periods of quasirhythmic activity of "fast" and "slow" neurons in visual and cerebellar cortex: experiment and model // Problems of Neurocybernetics, Proceedings of Anniversary International Conference on Neurocybernetics, Rostov-on-Don, Russia, 2002, V. 2, 132-136. (in Russian)
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.
Podladchikiva, L.N., Bondar, G.G., Ivlev, S.A., Dunin-Barkowski, W.L. Functional role of the Purkinje cell complex spikes properties in the cerebellar cortex. Proceedings of the 6-th All-Russian Conference "Neuroinformatics 2004", Moscow, MEPHI, 2004, 77-83 (in Russian).
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).
Markin S.N., Podladchikova L.N., Dunin-Barkovski W.L. The method for detecting impulses of different durations in the cerebellar Purkinje cells. // In Proc of 7-th Int. Conf. on Pattern recognition and image analysis: new information technologies, St.-Petersburg. 2004, V. 3, 780-783.
Podladchikova L.N. What can be given by searching for Purkinje twin-cells in the cerebellar cortex: results and prospective. Report to the KRNIC RSU Scientific Board, May 22, 2003, Slides (in Russian).
Gao X., Podladchikova L., Shaposhnikov D. Application of vision models to traffic sign recognition. // Proc. of the Joint Int. Conf on Artificial Neural Networks and Neural Information Processing - ICANN/ICONIP, 2003, Turkey, Istanbul, Springer: 2003, 1100-1105.
Shaposhnikov D. G., Podladchikova L. N., and Gao X. Classification of images on the basis of the properties of informative regions. // Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications. 2003, V. 13, No 2, 349-352.
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).
Dunin-Barkowski, W.L., Podladchikova, L.N. Äóíèí-Áàðêîâñêèé Â.Ë. è Ïîäëàä÷èêîâà Ë.Í. A role of climbing fibers in the cerebellum. Neurocomputers: Development and Application, 2002, No 7-8, 47-64 (in Russian).
Gao X., Shevtsova N., Hong K., Batty S., Podladchikova L., Golovan A., Shaposhnikov D., Gusakova V. Vision models based identification of traffic signs. // Proc. of the First European Conf. on Color in Graphics, Image and Vision, Poitiers. - France: 2002, 47-51.
Podladchikova, L.N., Bondar, G.G., Dunin-Barkowski, W.L. Activity properties of "fast" and "slow" Purkinje cells of the cerebellum. Biophysics, 2002, V. 47, No 2, 338-344 (in Russian).
Podladchikova, L.N., Ivlev, S.A., Dunin-Barkowski, W.L. Resemblance and difference in activity of Purkinje cells innervated by a common climbing fiber. Problems of Neurocybernetics, Proceedings of Anniversary International Conference on Neurocybernetics, Rostov-on-Don, Russia, 2002, V. 1, 89-94 (in Russian).
Gao X., Shevtsova N., Hong K., Batty S., Podladchikova L., Golovan A., Shaposhnikov D., Gusakova V. A new approach to traffic sign recognition. // Proc. of the Int. Conf. on Imaging Science, Systems, and Technology. - USA, Las-Vegas: 2002, V. 2, 736-741.
Shaposhnikov D.G., Podladchikova L.N., Golovan A.V., Shevtsova N.A.,Hong K., Gao X. Road sign recognition by means of the behavioral model of vision. // Proc. of the 15th Int. Conf. on Vision Interface. - Canada, Calgary: 2002, 213-217.
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)
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).
Podladchikova, L.N., Bondar G.G., Dunin-Barkowski, W.L. Dependence of interactions between climbing and parallel fiber inputs on Purkinje cell complex spike properties. Proceedings of the 3-th All-Russian Conference "Neuroinformatics 2001", Moscow, MEPHI, 2001, 243-249 (in Russian).
Shaposhnikov D.G., Gizatdinova Yu.F., and Podladchikova L.N. The peculiarities of the visual perception in the peripheral field of vision. //Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications. 2001, V. 11, No 2, 376-378.
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).
Dunin-Barkowski, W.L., Markin, S.N., Podladchikova, L.N., Wunsch, D.C. Activity properties of branches of a climbing fiber which control different Purkinje cells. Biophysics, 1999, V. 44, 1056-1063 (in Russian).
Gusakova V.I., Podladchikova L.N., Shaposhnikov D.G., Markin S.N., Golovan A.V., Lee S.W. Advanced biologically-plausible algorithms for low-level image processing. // Intelligent Robots and Computer Vision XVIII: Algorithms, Techniques, Active Vision, and Materials Handling: Proc. of the SPIE. - USA, D.P. Casasent, Editor: 1999, V. 3837, 377-386.
Dunin-Barkowski W.L., Markin S.N., Podladchikova S.N., Wunsch D.C. Climbing fiber Purkinje cell twins are found. // Proc.of IJCNN'99. Washington: 1999, V. 1, 180-183.
Shaposhnikov D.G., Podladchikova L.N. Local nonuniformity of the visual perception in the peripheral vision field. // Proc.of IJCNN'99. - Washington: 1999, V. 1, No 438.
Rybak I.A., Gusakova V.I., Golovan A.V., Podladchikova L.N., and Shevtsova N.A. A model of attention-guided visual perception and recognition. // Vision Research. 1998, V. 35, No 15-16, 2387-2400.
Dunin-Barkowski, W.L., Markin, S.N., Podladchikova, L.N. Estimation of Purkinje cells simple and complex spikes contribution to local field potentials of the cerebellar cortex. Biophysics, 1997, V. 42, No 2, 516-521 (in Russian).
Podladchikova L.N., Gusakova V.I., Shaposhnikov D.G., Faure A., Golovan A.V. and Shevtsova N.A. MARR: Active vision model. // Intelligent Robots and Computer Vision XVI: Algorithms, Techniques, Active Vision, and Materials Handling: Proc. of the SPIE. - USA, D. Casasent, Editor: 1997, V. 3208, 418-425.
Dunin-Barkowski W.L., Markin S.N., Podladchikova L.N. A search for simultaneous records of several Purkinje cells controlled with the same climbing fiber. // 4th IBRO World Congress of Neuroscience, 95, Kyoto, Japan: 1995, 388.
Dunin-Barkowski W.L., Markin S.N., Podladchikova L.N. HEP Type experiments in brain analysis: a search for Purkinje cells of the cerebellum controlled with the same climbing fiber. // Neural Networks for Physicists #5. - Univercity of Minnesota. Theoretical Physics Institute.Minneapolis, USA: 1995, 70-86.
Shevtsova N.A., Faure A., Klepatch A.A., Podladchikova L.N., Rybak I.A. Model of foveal visual preprocessor. // Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling", D.P. Casasent, Editor, Proc. SPIE, 1995, V. 2588, 588-596.
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).
Faure A., Rybak I.A., Shevtsova N.A., Golovan A.V.,Cachard O., Gusakova V.I., Podladchikova L.N., Klepatch A.A. Modeling and investigation of some spatio-temporal aspects of visual information processing in the retinal neural network. // Optical Neural Networks, A.L. Mikaelian, Editor, Proc. SPIE, 1994, V. 2430, 100-109.