Selected Publications
Study and computational modeling of neural circuits in the visual cortex Rybak I. A., Podladchikova, L. N., Shevtsova, N. A., and Golovan A. V. (1988)
Encoding of stimulus orientation in responses of the visual cortex neurons. Biophysica,
33: 667-671 (in Russian). ( Rybak, I. A., Shevtsova, N. A., Podladchikova, L. N., and Sandler, V. M.
(1990) 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.
Holden, A., and Krukov, V.). Manchester University Press, pp. 117-137. Podladchikova, L. N., Rybak, I. A., Shevtsova, N. A., and Golovan, A. V.
(1990) Filtration of oriented image elements and feature discrimination in the visual
cortex. In: Neurocomputers and Attention. Vol. 1 "Neurobiology, Synchronization and
Chaos" (Eds. Holden, A., and Krukov, V.). Manchester University Press, pp. 81-96. Rybak, I. A., Shevtsova, N. A., and Podladchikova, L. N. (1991) Modeling of
local neural networks of the visual cortex and applications to image processing. In:
Applications of Artificial Neural Networks II, Proc. of SPIE, Vol. 1469, Part 2, Orlando,
pp. 737-748. Shevtsova, N. A., Rybak, I. A., Podladchikova, L. N., and Golovan A. V.
(1991) Temporal and spatial discrimination of image features in the visual cortex. In:
Theoretical Aspects of Neural Networks (Eds. Novak, M., and Pelican, E.). World Sci. Pub.
Co., pp. 259-276. Rybak, I. A., Podladchikova, L. N., Shevtsova, N. A., and Golovan, A. V.
(1991) A visual cortex domain model and its use for visual information processing. Neural
Networks 4: 3-13. Rybak, I. A., Shevtsova, N. A., and Sandler, V. M. (1992) A model of the
neural network visual preprocessor. Neurocomputing 4: 93-102. Shevtsova, N. A., Rybak, I. A., Podladchikova, L. N., and Golovan, A.V.
(1992) Temporal and spatial filtration of oriented image elements in the visual cortex.
Neural Network World 2: 175-190. Rybak, I. A., Podladchikova, L. N., and Shevtsova, N. A. (1993) Physiological
model of orientation selectivity in the visual cortex and its use for image processing.
In: Human Vision, Visual Processing and Digital Display IV, Proc. of SPIE, Vol. 1913, pp.
124-133. Faure, A., Shevtsova, N. A., Golovan, A. V., Klepatch, A. A., Cachard, O.,
and Rybak, I. A. (1994) Modeling of some spatio-temporal aspects of visual information
processing in 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, pp. 491-493. Visual perception and recognition Rybak, I. A., Golovan, A. V., Gusakova, V. I., Shevtsova, N. A., and
Podladchikova, L. N. (1991) A neural network system for active visual perception and
recognition. Neural Network World 1: 245-250. Rybak, I. A., Golovan, A. V., Gusakova, V. I., and Shevtsova, N. A. (1991)
Modeling of a neural network system for active visual perception and image recognition.
In: Proc. of Int. Conf. on Neural Networks and their Applications" (NEURO-NIMES'91),
Nimes, France, pp. 519-525. Rybak, I. A. Golovan, A. V., and Gusakova, V. I. (1991) An approach to
invariant object recognition in gray-level images using neural network models. In
Applications of Artificial Neural Networks II", Proc of SPIE, Vol. 1469, Part 2,
Orlando, pp. 472--482. Rybak, I. A. Golovan, A. V., Gusakova, V. I., Podladchikova, L. N., and
Shevtsova, N. A. (1992) A neural network system model for active perception and invariant
recognition of gray-level images. In: Proc. of Int. Joint Conf. on Neural Networks
(IJCNN'92), Baltimore, Vol. 4, pp. 1-6. Rybak, I. A., Golovan, A. V., and Gusakova, V. I. (1993) Behavioral model of
visual perception and recognition. In: Human Vision, Visual Processing and Digital Display
IV, Proc. of SPIE, Vol. 1913, pp. 548-560. Rybak, I. A., Podladchikova, L. N., and Shevtsova, N. A. (1993) Invariant
object recognition based on separated representation of "what" and
"where" object features. In: Proc. of World Congress on Neural Networks
(WCNN'93), Vol. 1, Portland, OR, pp. 1-42 - 1-45. Rybak, I. A., Gusakova, V. I., Golovan, A. V., Shevtsova, N. A., and Sandler,
V. M. (1993) Modeling of visual perception and recognition as behavioral processes. In:
Proc. of the 5-th UNB Artificial Intelligence Symposium, Federation, N.B., Canada, pp.
99-102. Rybak, I. A. (1993) A model of visual perception and recognition based on
separated representation of "what" and "where" object features. In:
Proc. of the 15-th Annual Conference of the Cognitive Science Society. Colorado. Rybak, I. A., Gusakova, V. I., Golovan, A. V., Shevtsova, N. A., and
Podladchikova, L. N. (1994) Modeling of a neural network system for active visual
perception and recognition. In: Proc. of the 12-th International Conference on Pattern
Recognition (ICPR). Vol. II. "Pattern Recognition and Neural Networks". IEEE
Comp. Soc. Press, pp. 371-373. Rybak, I. A., Gusakova, V. I., Golovan, A. V., Podladchikova, L. N., and
Shevtsova, N. A. (1998) A model of attention-guided visual perception and
recognition. Vision Research 38: 2387-2400. Rybak, I. A., Gusakova, V. I., Golovan, A. V., Podladchikova, L. N., and
Shevtsova, N. A. (2005) Attention-guided recognition based on “what” and
“where” representations: A behavioral model. In: Neurobiology of Attention (Eds.
Itti, L., Rees, G. and Tsotsos, J.). Elsevier Acad. Press, pp. 663-670. Baroreceptor vagal reflex and neural control of blood pressure Rybak, I. A., Schwaber, J. S., and Rogers, R. F. (1994) A model of the
baroreceptor reflex neural network. In: Proc. of International Conference on Artificial
Neural Networks (ICANN'94). Sorrento, Italy, Vol. 1, pp. 102-105. Doyle III, F. J., Kwatra, H. S., Rybak I. A., and Schwaber, J. S. (1994) A
biologically-motivated dynamic nonlinear scheduling algorithm for control. In Proc.
of the American Control Conference (ACC'94), Baltimore, ML, pp. 92-96. Rybak, I. A., Schwaber, J. S., and Rogers, R. F. (1994) Modeling the
baroreceptor reflex neural network performing blood pressure control in mammals. In: Proc.
of World Congress on Neural Networks, (WCNN'94). San Diego, CA, Vol. 2, pp. II-682-II-687. Rybak, I. A., Pottmann, M., Ogunnaike, B. A., and Schwaber, J. S. (1995) A
closed-loop model of the respiratory control system. In Proc. of the American
Control Conference (ACC'95), Seattle, WA, pp. 275-279. Doyle III, F. J., Henson, M. A., Ogunnaike, B. A., Schwaber, J. S., and
Rybak, I. A. (1997) Neuronal modeling of the baroreceptor vagal reflex with applications
in process modeling and control. In: Neural Systems for Control (Eds. Omidvar, O. and
Elliott, D. L.). Academic Press, pp. 87-127. Kwatra, H. S., Doyle III, F. J., Rybak, I. A., and Schwaber, J. S. (1997) A
neuro-mimetic dynamic scheduling algorithm for control: analysis and applications. Neural
Computation 9: 479-502. Rogers, R. F., Rybak, and Schwaber, J. S. (2000) Computational modeling of
the baroreflex arc: nucleus tractus solitarius. Brain Res. Bull 51: 139-150. Neurorobotics Giszter, S. F., Moxon, K. A., Rybak, I. A., and Chapin, J. K. (2000) A
neurobiological perspective on humanoid robot design. IEEE Intelligent Systems 15: 64-69. Giszter, S. F., Moxon, K. A., Rybak, I. A., and Chapin, J. K. (2001)
Neurobiological and neurorobotic approaches to control architectures for a humanoid motor
system. Robotics and Autonomous Systems 37: 219-235. Generation of the respiratory rhythm and neural control of breathing Rybak, I. A., Paton, J. F. R., and Schwaber, J. S. (1995) Modeling and
analysis of some neural mechanisms for the genesis and control of respiratory pattern. In:
From Natural to Artificial Neural Computations (Eds. Mira, J., and Sandoval, F.),
Springer, pp. 100-107. Schwaber, J. S., Rybak, I. A., and Paton, J. F. R. (1996) Modeling of
cellular and network neural mechanisms for respiratory pattern generation. In:
Spatio-temporal models in biological and artificial systems (Eds. Silva, F. L., Principe,
J. C., and Almeida, L. B.). IOS Press, pp. 160-167. Rybak, I. A. Paton, J. F. R., and Schwaber, J. S. (1997) Synergism of
cellular and network mechanisms in respiratory pattern generation. In: Computational
Neuroscience. Trends in research (Ed. Bower, J. M.). Plenum Press, pp. 477-483. Rybak, I. A., Paton, J. F. R., and Schwaber, J. S. (1997) Modeling neural
mechanisms for genesis of respiratory rhythm and pattern: I. Models of respiratory
neurons. J. Neurophysiol. 77: 1994-2006. Rybak, I. A., Paton, J. F. R., and Schwaber, J. S. (1997) Modeling neural
mechanisms for genesis of respiratory rhythm and pattern: II. Network models of the
central respiratory pattern generator. J. Neurophysiol. 77: 2007-2026. Rybak, I. A., Paton, J. F. R., and Schwaber, J. S. (1997) Modeling neural
mechanisms for genesis of respiratory rhythm and pattern: III. Comparison of model
performances during afferent nerve stimulation. J. Neurophysiol. 77: 2027-2039. Rybak, I. A., St.-John, W. M., and Paton, J. F. R. (2001) Models of neuronal
bursting behavior: Implications for in vivo versus in vitro respiratory rhythmogenesis.
Adv. Exp. Med. Biol. 499:159-164. Rybak, I. A., Paton, J. F. R., and Schwaber, J. S. (2001) Neurogenesis of the
respiratory pattern: Insights from computational modeling. Adv. Exp. Med. Biol. 499:
165-170. Rybak, I. A., Moxon, K. A., Giszter, S., and Chapin, J. K. (2001)
Computational modeling of integration of voluntary/behavioral and automatic mechanisms for
breathing control. Adv. Exp. Med. Biol. 499: 425-430. Rybak, I. A., Paton, J. F. R., Rogers, R. F., and St. John, W. M. (2002)
Generation of the respiratory rhythm: state-dependency and switching. Neurocomputing
44-46: 603-612. St.-John, W. M., and Rybak, I. A. (2002) Influence of carbon dioxide
and oxygen upon gasping in perfused rat preparation. Respir. Physiol. 129:279-287. St.-John, W. M., Rybak, I. A., and Paton, J. F. R. (2002) Potential switch
from eupnea to fictive gasping after blockade of inhibitory transmission and potassium
channels. Am. J. Physiol. (Regul Integr Comp Physiol) 283: R721-R731. Shevtsova, N. A., Ptak, K., McCrimmon, D. R., and Rybak, I. A. (2003)
Computational modeling of bursting pacemaker neurons in the pre-Bötzinger complex.
Neurocomputing 52-54: 933-942. Rybak, I. A., Ptak, K., Shevtsova, N. A., and McCrimmon, D. R. (2003) Sodium
currents in neurons from the rostroventrolateral medulla of the rat. J. Neurophysiol. 90:
1635-1642.
Rybak, I. A., Shevtsova, N. A., St.-John, W. M., Paton, J. F.R., and
Pierrefiche, O. (2003) Endogenous rhythm generation in the pre-Bötzinger complex and
ionic currents: Modelling and in vitro studies. Eur. J. Neurosci. 18: 239-257. Pierrefiche, O., Shevtsova, N. A., St.-John, W. M., Paton, J. F. R., and
Rybak, I. A. (2004) Ionic currents and endogenous rhythm generation in the pre-Bötzinger
Complex: Modelling and in vitro studies. Adv. Exp. Med. Biol. 551: 121-126. Rybak, I. A., Shevtsova, N. A., Paton, J. F. R., Pierrefiche, O., St.-John,
W. M., and Haji, A. (2004) Modelling respiratory rhythmogenesis: Focus on phase switching
mechanisms. Adv. Exp. Med. Biol. 551:189-194. Rybak, I. A., Shevtsova, N. A., Ptak, K., and McCrimmon D. R. (2004)
Intrinsic bursting activity in the pre-Bötzinger Complex: Role of persistent sodium and
potassium currents. Biol. Cybern. 90: 59-74. Rybak, I. A., Shevtsova, N. A., Paton, J. F. R., Dick, T. E., St-John, W. M.,
Mörschel, M., and Dutschmann, M. (2004) Modeling the ponto-medullary respiratory network.
Respir. Physiol. Neurobiol. 143: 307-319. Potts, J. T., Rybak, I. A., and Paton, J. F. R. (2005) Respiratory rhythm
entrainment by somatic afferent stimulation. J. Neurosci. 25: 1965-1978. Rybak, I.A., Abdala, A. P. L., Markin, S. N., Paton, J. F. R., and Smith, J.
C. (2007) Spatial organization and state-dependent mechanisms for respiratory rhythm and
pattern generation. Prog. Brain Res. 165: 201-220. Smith, J. C., Abdala, A. P. L., Koizumi, H., Rybak, I. A.,
and Paton, J. F. R. (2007) Spatial and functional architecture of the mammalian brainstem
respiratory network: a hierarchy of three oscillatory mechanisms. J. Neurophysiol. 98: 3370-3387. Rybak, I. A., and Smith, J. C. (2008) Computational modeling
of the respiratory network. In Encyclopedia of Neuroscience (Eds. Binder MD, Hirokawa N,
Windhorst U, Hirsch MC et al.). Springer-Verlag (in press). Computational modeling of spinal cord circuits and neural control of locomotion Rybak I. A. (1999) Computational modeling of the spinal cord circuitry. In: Proc. of Int. Conf. on NeuriCybernetics (ICNC'99), Rostov-on-Don, Russia, pp. 234-238. Rybak, I. A., Ivashko, D. G., Prilutsky, B. I., Lewis, M. A., and Chapin J.
K. (2002) Modeling neural control of locomotion: Integration of reflex circuits with CPG.
In: Artificial Neural Networks. Lect. Notes Comp. Sci. 2415 (Ed. Dorronsoro, J. R.).
Springer, pp. 99-104. Ivashko, D. G., Prilutsky, B. I., Markin, S. N., Chapin, J. K., and Rybak, I.
A. (2003) Modeling the spinal cord neural circuitry controlling cat hindlimb movement
during locomotion. Neurocomputing 52-54: 621-629. Rybak, I. A., Shevtsova, N. A., Lafreniere-Roula, M., and McCrea, D. A.
(2006) Modelling spinal circuitry involved in locomotor pattern generation: insights from
deletions during fictive locomotion. J. Physiol. Lond. 577(Pt. 2): 617-639. Rybak, I. A., Stecina, K., Shevtsova, N. A., and McCrea, D. A. (2006)
Modelling spinal circuitry involved in locomotor pattern generation: insights from the
effects of afferent stimulation. J. Physiol. Lond. 577(Pt.2): 641-658. McCrea, D. A., and Rybak, I. A. (2007) Modeling the mammalian locomotor CPG:
insights from mistakes and perturbations. Prog. Brain
Res. 165: 235-253. McCrea, D. A., and Rybak, I. A. (2008) Organization of mammalian locomotor rhythm and pattern generation. Brain Res. Reviews 57:
134-146. |
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