Ilya A Rybak

Dr. Ilya A Rybak

PhD

Drexel University College of Medicine

Professor

Philadelphia, Pennsylvania | Afghanistan

Specialties: Neuroscience

Ilya A Rybak

Dr. Ilya A Rybak

PhD
Introduction

Primary Affiliation: Drexel University College of Medicine - Philadelphia, Pennsylvania , Afghanistan

Specialties:

Metrics

53

Publications

696

Profile Views

308

Reads

1030

PubMed Central Citations

Top co-authors
Natalia A Shevtsova
Natalia A Shevtsova

Drexel University College of Medicine

24
Yaroslav I Molkov
Yaroslav I Molkov

Drexel University College of Medicine

15
Jeffrey C Smith
Jeffrey C Smith

University of Ottawa

15
Jonathan E Rubin
Jonathan E Rubin

University of Pittsburgh

8
Sergey N Markin
Sergey N Markin

Drexel University College of Medicine

6
Bartholomew J Bacak
Bartholomew J Bacak

Drexel University College of Medicine

5
Boris I Prilutsky
Boris I Prilutsky

Georgia Institute of Technology

4
Thomas E Dick
Thomas E Dick

Case Western Reserve University

4
Daniel B Zoccal
Daniel B Zoccal

School of Medicine of Ribeirão Preto

3

Publications

53Publications

308Reads

1030PubMed Central Citations

Computational models of the neural control of breathing.

Wiley Interdiscip Rev Syst Biol Med 2017 03 23;9(2). Epub 2016 Dec 23.

Cellular and Systems Neurobiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.

View Article
March 2017
6 Reads
1 PubMed Central Citation(source)

Chemoreception and neuroplasticity in respiratory circuits.

Exp Neurol 2017 Jan 27;287(Pt 2):153-164. Epub 2016 May 27.

Georgia State University, Atlanta, GA, United States. Electronic address:

View Article
January 2017
11 Reads
2 PubMed Central Citations(source)
4.70 Impact Factor

Central control of interlimb coordination and speed-dependent gait expression in quadrupeds.

J Physiol 2016 12 8;594(23):6947-6967. Epub 2016 Nov 8.

Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, USA.

View Article
December 2016
7 Reads
3 PubMed Central Citations(source)
5.04 Impact Factor

Perturbations of Respiratory Rhythm and Pattern by Disrupting Synaptic Inhibition within Pre-Bötzinger and Bötzinger Complexes.

eNeuro 2016 Mar-Apr;3(2). Epub 2016 May 13.

Cellular and Systems Neurobiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health , Bethesda, Maryland 20892.

View Article
December 2016
11 Reads
6 PubMed Central Citations(source)

Organization of flexor-extensor interactions in the mammalian spinal cord: insights from computational modelling.

J Physiol 2016 11 21;594(21):6117-6131. Epub 2016 Jul 21.

Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, USA.

View Article
November 2016
8 Reads
2 PubMed Central Citations(source)
5.04 Impact Factor

Mixed-mode oscillations and population bursting in the pre-Bötzinger complex.

Elife 2016 Mar 14;5:e13403. Epub 2016 Mar 14.

Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, United States.

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March 2016
7 Reads
1 PubMed Central Citation(source)
8.52 Impact Factor

A neuromechanical model of spinal control of locomotion

In: Neuromechanical Modeling of Posture and Locomotion, Chapter: A neuromechanical model of spinal c

We have developed a neuromechanical computational model of cat hindlimb locomotion controlled by spinal central pattern generators (CPGs, one per hindlimb) and motion-dependent afferent feedback. Each CPG represents an extension of previously developed two-level model (Rybak et al. J Physiol 577:617–639, 2006a, J Physiol 577:641–658, 2006b) and includes a half-center rhythm generator (RG), generating the locomotor rhythm, and a pattern formation (PF) network operating under control of RG and managing the synergetic activity of different hindlimb motoneuronal pools. The basic two-level CPG model was extended by incorporating additional neural circuits allowing the CPG to generate the complex activity patterns of motoneurons controlling proximal two-joint muscles (Shevtsova et al., Chap. 5, Neuromechanical modeling of posture and locomotion, Springer, New York, 2015). The spinal cord circuitry in the model includes reflex circuits mediating reciprocal inhibition between flexor and extensor motoneurons and disynaptic excitation of extensor motoneurons by load-sensitive afferents. The hindlimbs and trunk were modeled as a 2D system of rigid segments driven by Hill-type muscle actuators with force-length-velocity dependent properties. The musculoskeletal model has been tuned to reproduce the mechanics of locomotion; as a result, the computed motion-dependent activity of muscle group Ia, Ib, and II afferents and the paw-pad cutaneous afferents matched well the cat in vivo afferent recordings reported in the literature (Prilutsky et al., Chap. 10, Neuromechanical modeling of posture and locomotion, Springer, New York, 2015). In the neuromechanical model, the CPG operation is adjusted by afferent feedback from the moving hindlimbs. The model demonstrates stable locomotion with realistic mechanical characteristics and exhibits realistic patterns of muscle activity. The model can be used as a testbed to study spinal control of locomotion in various normal and pathological conditions.

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January 2016
17 Reads

Modeling the organization of spinal cord neural circuits controlling two-joint muscles

In: Neuromechanical Modeling of Posture and Locomotion, Chapter: Modeling the organization of spinal

The activity of most motoneurons controlling one-joint muscles during locomotion are locked to either extensor or flexor phase of locomotion. In contrast, bifunctional motoneurons, controlling two-joint muscles such as posterior biceps femoris and semitendinosus (PBSt) or rectus femoris (RF), express a variety of activity patterns including firing bursts during both locomotor phases, which may depend on locomotor conditions. Although afferent feedback and supraspinal inputs significantly contribute to shaping the activity of PBSt and RF motoneurons during real locomotion, these motoneurons show complex firing patterns and variable behaviors under the conditions of fictive locomotion in the immobilized decerebrate cat, i.e., with a lack of patterned supraspinal and afferent inputs. This suggests that firing patterns of PBSt and RF motoneurons are defined by neural interactions inherent to the locomotor central pattern generator (CPG) within the spinal cord. In this study, we use computational modeling to suggest the architecture of spinal circuits representing the locomotor CPG and the connectivity pattern of spinal interneurons defining the behavior of bifunctional PBSt and RF motoneurons. The proposed model reproduces the complex firing patterns of these motoneurons during fictive locomotion under different conditions including spontaneous deletions of flexor and extensor activities and provides insights into the organization of spinal circuits controlling locomotion in mammals.

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January 2016
20 Reads

Organization of the Mammalian Locomotor CPG: Review of Computational Model and Circuit Architectures Based on Genetically Identified Spinal Interneurons(1,2,3).

eNeuro 2015 Sep 22;2(5). Epub 2015 Sep 22.

Department of Neurobiology and Anatomy, Drexel University College of Medicine , Philadelphia, Pennsylvania 19129.

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September 2015
10 Reads
12 PubMed Central Citations(source)

Organization of the mammalian locomotor CPG: review of computational model and circuit architectures based on genetically identified spinal interneurons

eNeuro 5(2): pii 0069-15, 1-21

eNeuro

The organization of neural circuits that form the locomotor central pattern generator (CPG) and provide flexor–extensor and left–right coordination of neuronal activity remains largely unknown. However, significant progress has been made in the molecular/genetic identification of several types of spinal interneurons, including V0 (V0D and V0V subtypes), V1, V2a, V2b, V3, and Shox2, among others. The possible functional roles of these interneurons can be suggested from changes in the locomotor pattern generated in mutant mice lacking particular neuron types. Computational modeling of spinal circuits may complement these studies by bringing together data from different experimental studies and proposing the possible connectivity of these interneurons that may define rhythm generation, flexor–extensor interactions on each side of the cord, and commissural interactions between left and right circuits. This review focuses on the analysis of potential architectures of spinal circuits that can reproduce recent results and suggest common explanations for a series of experimental data on genetically identified spinal interneurons, including the consequences of their genetic ablation, and provides important insights into the organization of the spinal CPG and neural control of locomotion.

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September 2015
10 Reads

A closed-loop model of the respiratory system: focus on hypercapnia and active expiration.

PLoS One 2014 10;9(10):e109894. Epub 2014 Oct 10.

Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, Pennsylvania, United States of America.

View Article
June 2015
7 Reads
9 PubMed Central Citations(source)
3.23 Impact Factor

Organization of left-right coordination of neuronal activity in the mammalian spinal cord: Insights from computational modelling.

J Physiol 2015 Jun;593(11):2403-26

Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, USA.

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June 2015
8 Reads
14 PubMed Central Citations(source)
5.04 Impact Factor

Mechanisms of left-right coordination in mammalian locomotor pattern generation circuits: a mathematical modeling view.

PLoS Comput Biol 2015 May 13;11(5):e1004270. Epub 2015 May 13.

Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, Pennsylvania, United States of America.

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May 2015
8 Reads
5 PubMed Central Citations(source)

Physiological and pathophysiological interactions between the respiratory central pattern generator and the sympathetic nervous system.

Prog Brain Res 2014 ;212:1-23

Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, USA.

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April 2015
14 Reads
6 PubMed Central Citations(source)
2.83 Impact Factor

Rhythmic bursting in the pre-Bötzinger complex: mechanisms and models.

Prog Brain Res 2014 ;209:1-23

Cellular and Systems Neurobiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.

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April 2015
6 Reads
6 PubMed Central Citations(source)
2.83 Impact Factor

Effects of glycinergic inhibition failure on respiratory rhythm and pattern generation.

Prog Brain Res 2014 ;209:25-38

Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, USA.

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April 2015
10 Reads
2 PubMed Central Citations(source)
2.83 Impact Factor

Physiological and pathophysiological interactions between the respiratory central pattern generator and the sympathetic nervous system

Prog Brain Res. 2014;212:1-23

Prog Brain Res

Respiratory modulation seen in the sympathetic nerve activity (SNA) implies that the respiratory and sympathetic networks interact. During hypertension elicited by chronic intermittent hypoxia (CIH), the SNA displays an enhanced respiratory modulation reflecting strengthened interactions between the networks. In this chapter, we review a series of experimental and modeling studies that help elucidate possible mechanisms of sympatho-respiratory coupling. We conclude that this coupling significantly contributes to both the sympathetic baroreflex and the augmented sympathetic activity after exposure to CIH. This conclusion is based on the following findings. (1) Baroreceptor activation results in perturbation of the respiratory pattern via transient activation of postinspiratory neurons in the Bötzinger complex (BötC). The same BötC neurons are involved in the respiratory modulation of SNA, and hence provide an additional pathway for the sympathetic baroreflex. (2) Under hypercapnia, phasic activation of abdominal motor nerves (AbN) is accompanied by synchronous discharges in SNA due to the common source of this rhythmic activity in the retrotrapezoid nucleus (RTN). CIH conditioning increases the CO2 sensitivity of central chemoreceptors in the RTN which results in the emergence of AbN and SNA discharges under normocapnic conditions similar to those observed during hypercapnia in naïve animals. Thus, respiratory-sympathetic interactions play an important role in defining sympathetic output and significantly contribute to the sympathetic activity and hypertension under certain physiological or pathophysiological conditions, and the theoretical framework presented may be instrumental in understanding of malfunctioning control of sympathetic activity in a variety of disease states.

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December 2014
13 Reads

A closed-loop model of the respiratory system: focus on hypercapnia and active expiration

PLoS One. 2014 Oct 10;9(10):e109894

PLoS One

Breathing is a vital process providing the exchange of gases between the lungs and atmosphere. During quiet breathing, pumping air from the lungs is mostly performed by contraction of the diaphragm during inspiration, and muscle contraction during expiration does not play a significant role in ventilation. In contrast, during intense exercise or severe hypercapnia forced or active expiration occurs in which the abdominal "expiratory" muscles become actively involved in breathing. The mechanisms of this transition remain unknown. To study these mechanisms, we developed a computational model of the closed-loop respiratory system that describes the brainstem respiratory network controlling the pulmonary subsystem representing lung biomechanics and gas (O2 and CO2) exchange and transport. The lung subsystem provides two types of feedback to the neural subsystem: a mechanical one from pulmonary stretch receptors and a chemical one from central chemoreceptors. The neural component of the model simulates the respiratory network that includes several interacting respiratory neuron types within the Bötzinger and pre-Bötzinger complexes, as well as the retrotrapezoid nucleus/parafacial respiratory group (RTN/pFRG) representing the central chemoreception module targeted by chemical feedback. The RTN/pFRG compartment contains an independent neural generator that is activated at an increased CO2 level and controls the abdominal motor output. The lung volume is controlled by two pumps, a major one driven by the diaphragm and an additional one activated by abdominal muscles and involved in active expiration. The model represents the first attempt to model the transition from quiet breathing to breathing with active expiration. The model suggests that the closed-loop respiratory control system switches to active expiration via a quantal acceleration of expiratory activity, when increases in breathing rate and phrenic amplitude no longer provide sufficient ventilation. The model can be used for simulation of closed-loop control of breathing under different conditions including respiratory disorders.

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October 2014
12 Reads

Control of breathing by interacting pontine and pulmonary feedback loops.

Front Neural Circuits 2013 13;7:16. Epub 2013 Feb 13.

Department of Neurobiology and Anatomy, Drexel University College of Medicine Philadelphia, PA, USA ; Department of Mathematical Sciences, Indiana University - Purdue University Indianapolis, IN, USA.

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May 2014
7 Reads
10 PubMed Central Citations(source)
3.57 Impact Factor

Modelling genetic reorganization in the mouse spinal cord affecting left-right coordination during locomotion.

J Physiol 2013 Nov 30;591(22):5491-508. Epub 2013 Sep 30.

I. A. Rybak: Department of Neurobiology and Anatomy, Drexel University College of Medicine, 2900 Queen Lane, Philadelphia, PA 19129, USA.

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November 2013
8 Reads
9 PubMed Central Citations(source)
5.04 Impact Factor

Activity-dependent changes in extracellular Ca2+ and K+ reveal pacemakers in the spinal locomotor-related network.

Neuron 2013 Mar;77(6):1047-54

Team P3M, Institut de Neurosciences de la Timone, UMR 7289, CNRS and Aix-Marseille Université, F-13385 Marseille, France.

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March 2013
8 Reads
16 PubMed Central Citations(source)
15.05 Impact Factor

Brainstem respiratory networks: building blocks and microcircuits.

Trends Neurosci 2013 Mar 17;36(3):152-62. Epub 2012 Dec 17.

Cellular and Systems Neurobiology Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD, USA.

View Article
March 2013
7 Reads
59 PubMed Central Citations(source)
13.55 Impact Factor

Sodium and calcium mechanisms of rhythmic bursting in excitatory neural networks of the pre-Bötzinger complex: a computational modelling study.

Eur J Neurosci 2013 Jan 4;37(2):212-30. Epub 2012 Nov 4.

Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, USA.

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January 2013
9 Reads
16 PubMed Central Citations(source)
3.18 Impact Factor

Neuronal activity in the isolated mouse spinal cord during spontaneous deletions in fictive locomotion: insights into locomotor central pattern generator organization.

J Physiol 2012 Oct 6;590(19):4735-59. Epub 2012 Aug 6.

Department of Neurobiology and Behavior, Cornell University, W 159 Seeley G. Mudd Hall, Ithaca, NY 14853, USA.

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October 2012
9 Reads
27 PubMed Central Citations(source)
5.04 Impact Factor

Computational models and emergent properties of respiratory neural networks.

Compr Physiol 2012 Jul;2(3):1619-70

Department of Molecular Pharmacology and Physiology and Neuroscience Program, University of South Florida College of Medicine, Tampa, Florida, USA.

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July 2012
7 Reads
24 PubMed Central Citations(source)
1.68 Impact Factor

Motoneuronal and muscle synergies involved in cat hindlimb control during fictive and real locomotion: a comparison study.

J Neurophysiol 2012 Apr 21;107(8):2057-71. Epub 2011 Dec 21.

Dept. of Neurobiology and Anatomy, Drexel Univ. College of Medicine, Philadelphia, PA 19129, USA.

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April 2012
8 Reads
20 PubMed Central Citations(source)
2.89 Impact Factor

A dynamical systems analysis of afferent control in a neuromechanical model of locomotion: I. Rhythm generation.

J Neural Eng 2011 Dec 4;8(6):065003. Epub 2011 Nov 4.

Department of Mathematics, University of Pittsburgh, Pittsburgh, PA 15260, USA.

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December 2011
8 Reads
11 PubMed Central Citations(source)

A dynamical systems analysis of afferent control in a neuromechanical model of locomotion: II. Phase asymmetry.

J Neural Eng 2011 Dec 4;8(6):065004. Epub 2011 Nov 4.

Department of Mathematics, University of Pittsburgh, Pittsburgh, PA 15260, USA.

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December 2011
8 Reads
7 PubMed Central Citations(source)

Computational modelling of 5-HT receptor-mediated reorganization of the brainstem respiratory network.

Eur J Neurosci 2011 Oct 7;34(8):1276-91. Epub 2011 Sep 7.

Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, USA.

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October 2011
9 Reads
9 PubMed Central Citations(source)
3.18 Impact Factor

Interacting oscillations in neural control of breathing: modeling and qualitative analysis.

J Comput Neurosci 2011 Jun 7;30(3):607-32. Epub 2010 Oct 7.

Department of Mathematics, University of Pittsburgh, 301 Thackeray Hall, Pittsburgh, PA 15260, USA.

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June 2011
8 Reads
19 PubMed Central Citations(source)
1.74 Impact Factor

Intermittent hypoxia-induced sensitization of central chemoreceptors contributes to sympathetic nerve activity during late expiration in rats.

J Neurophysiol 2011 Jun 6;105(6):3080-91. Epub 2011 Apr 6.

Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA 19129, USA.

View Article
June 2011
7 Reads
27 PubMed Central Citations(source)
2.89 Impact Factor

Effect of baroreceptor stimulation on the respiratory pattern: insights into respiratory-sympathetic interactions.

Respir Physiol Neurobiol 2010 Nov 15;174(1-2):135-45. Epub 2010 Sep 15.

Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Case Western Reserve University, Cleveland, OH 44106-5067, USA.

View Article
November 2010
7 Reads
20 PubMed Central Citations(source)
1.97 Impact Factor

Late-expiratory activity: emergence and interactions with the respiratory CpG.

J Neurophysiol 2010 Nov 8;104(5):2713-29. Epub 2010 Sep 8.

Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA 19129, USA.

View Article
November 2010
5 Reads
30 PubMed Central Citations(source)
2.89 Impact Factor

Afferent control of locomotor CPG: insights from a simple neuromechanical model.

Ann N Y Acad Sci 2010 Jun;1198:21-34

Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.

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June 2010
3 Reads
13 PubMed Central Citations(source)
4.31 Impact Factor

Learning to breathe: control of the inspiratory-expiratory phase transition shifts from sensory- to central-dominated during postnatal development in rats.

J Physiol 2009 Oct 24;587(Pt 20):4931-48. Epub 2009 Aug 24.

Institute for Membrane and Systems Biology, University of Leeds, Leeds LS2 9JT, UK.

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October 2009
2 Reads
23 PubMed Central Citations(source)
5.04 Impact Factor

Structural and functional architecture of respiratory networks in the mammalian brainstem.

Philos Trans R Soc Lond B Biol Sci 2009 Sep;364(1529):2577-87

Porter Neuroscience Research Center, Building 35, Room 3C-917, 35 Convent Drive, NINDS, NIH, Bethesda, MD 20892, USA.

View Article
September 2009
3 Reads
71 PubMed Central Citations(source)
7.05 Impact Factor

Control of oscillation periods and phase durations in half-center central pattern generators: a comparative mechanistic analysis.

J Comput Neurosci 2009 Aug 6;27(1):3-36. Epub 2009 Jan 6.

Department of Mathematics, University of Pittsburgh, Pittsburgh, PA 15260, USA.

View Article
August 2009
7 Reads
18 PubMed Central Citations(source)
1.74 Impact Factor

Multiple rhythmic states in a model of the respiratory central pattern generator.

J Neurophysiol 2009 Apr 4;101(4):2146-65. Epub 2009 Feb 4.

Dept. of Mathematics, Univ. of Pittsburgh, Pittsburgh, PA, USA.

View Article
April 2009
4 Reads
41 PubMed Central Citations(source)
2.89 Impact Factor

Spatial organization and state-dependent mechanisms for respiratory rhythm and pattern generation.

Prog Brain Res 2007 ;165:201-20

Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA 19129, USA.

View Article
July 2008
4 Reads
57 PubMed Central Citations(source)
2.83 Impact Factor

Modeling the mammalian locomotor CPG: insights from mistakes and perturbations.

Prog Brain Res 2007 ;165:235-53

Spinal Cord Research Centre and Department of Physiology, University of Manitoba, Winnipeg, MB, R3E 3J7, Canada.

View Article
July 2008
3 Reads
32 PubMed Central Citations(source)
2.83 Impact Factor

Organization of mammalian locomotor rhythm and pattern generation.

Brain Res Rev 2008 Jan 5;57(1):134-46. Epub 2007 Sep 5.

Spinal Cord Research Centre and Department of Physiology, University of Manitoba, 730 William Avenue, Winnipeg, Manitoba R3E 3J7, Canada.

View Article
January 2008
3 Reads
163 PubMed Central Citations(source)
5.93 Impact Factor

Modelling spinal circuitry involved in locomotor pattern generation: insights from the effects of afferent stimulation.

J Physiol 2006 Dec 28;577(Pt 2):641-58. Epub 2006 Sep 28.

Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA 19129, USA.

View Article
December 2006
4 Reads
39 PubMed Central Citations(source)
5.04 Impact Factor

Modelling spinal circuitry involved in locomotor pattern generation: insights from deletions during fictive locomotion.

J Physiol 2006 Dec 28;577(Pt 2):617-39. Epub 2006 Sep 28.

Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA 19129, USA.

View Article
December 2006
5 Reads
69 PubMed Central Citations(source)
5.04 Impact Factor

Ionic currents and endogenous rhythm generation in the pre-Bötzinger complex: modelling and in vitro studies.

Adv Exp Med Biol 2004 ;551:121-6

GRAP-JE-UFR de Pharmacie, 80036 Amiens, France.

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March 2005
3 Reads
1 PubMed Central Citation(source)

Modelling respiratory rhythmogenesis: focus on phase switching mechanisms.

Adv Exp Med Biol 2004 ;551:189-94

School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA 19104, USA.

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March 2005
3 Reads
4 PubMed Central Citations(source)

Respiratory rhythm entrainment by somatic afferent stimulation.

J Neurosci 2005 Feb;25(8):1965-78

Department of Physiology, Wayne State University School of Medicine, Detroit, Michigan 48201, USA.

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February 2005
5 Reads
32 PubMed Central Citations(source)
6.34 Impact Factor

Intrinsic bursting activity in the pre-Bötzinger complex: role of persistent sodium and potassium currents.

Biol Cybern 2004 Jan 21;90(1):59-74. Epub 2004 Jan 21.

School of Biomedical Engineering, Drexel University, Science and Health Systems, Philadelphia, PA 19104, USA.

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January 2004
11 Reads
27 PubMed Central Citations(source)
1.71 Impact Factor

Sodium currents in neurons from the rostroventrolateral medulla of the rat.

J Neurophysiol 2003 Sep 21;90(3):1635-42. Epub 2003 May 21.

School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, Pennsylvania 19104, USA.

View Article
September 2003
9 Reads
21 PubMed Central Citations(source)
2.89 Impact Factor

Endogenous rhythm generation in the pre-Bötzinger complex and ionic currents: modelling and in vitro studies.

Eur J Neurosci 2003 Jul;18(2):239-57

School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA 19104, USA.

View Article
July 2003
3 Reads
37 PubMed Central Citations(source)
3.18 Impact Factor

Potential switch from eupnea to fictive gasping after blockade of glycine transmission and potassium channels.

Am J Physiol Regul Integr Comp Physiol 2002 Sep;283(3):R721-31

Department of Physiology, Dartmouth Medical School, Lebanon, New Hampshire 03756, USA.

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September 2002
3 Reads
7 PubMed Central Citations(source)
3.11 Impact Factor

Influence of levels of carbon dioxide and oxygen upon gasping in perfused rat preparation.

Respir Physiol 2002 Jan;129(3):279-87

Dartmouth-Hitchcock Medical Center, Department of Physiology, Dartmouth Medical School, Borwell Building, Lebanon, NH 03756, USA.

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January 2002
3 Reads
1 PubMed Central Citation(source)

Vertebrate pattern generation: Overview

Authors:
Ilya Rybak

Springer: New York

Encyclopedia of Computational Neuroscience

View Article
11 Reads
Top co-authors
Natalia A Shevtsova
Natalia A Shevtsova

Drexel University College of Medicine

24
Yaroslav I Molkov
Yaroslav I Molkov

Drexel University College of Medicine

15
Jeffrey C Smith
Jeffrey C Smith

University of Ottawa

15
Jonathan E Rubin
Jonathan E Rubin

University of Pittsburgh

8
Sergey N Markin
Sergey N Markin

Drexel University College of Medicine

6
Bartholomew J Bacak
Bartholomew J Bacak

Drexel University College of Medicine

5
Boris I Prilutsky
Boris I Prilutsky

Georgia Institute of Technology

4
Thomas E Dick
Thomas E Dick

Case Western Reserve University

4
Daniel B Zoccal
Daniel B Zoccal

School of Medicine of Ribeirão Preto

3