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You searched for +publisher:"Georgia State University" +contributor:("Vladimir Bondarenko"). Showing records 1 – 11 of 11 total matches.

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1. Reimbayev, Reimbay. Synchronization in Neuronal Networks with Electrical and Chemical Coupling.

Degree: PhD, Mathematics and Statistics, 2017, Georgia State University

  Synchronized cortical activities in the central nervous systems of mammals are crucial for sensory perception, coordination, and locomotory function. The neuronal mechanisms that generate… (more)

Subjects/Keywords: Dynamical System; Synchronization; Stability; Graph Theory; Neuroscience; Bifurcation Analysis

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APA (6th Edition):

Reimbayev, R. (2017). Synchronization in Neuronal Networks with Electrical and Chemical Coupling. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_diss/44

Chicago Manual of Style (16th Edition):

Reimbayev, Reimbay. “Synchronization in Neuronal Networks with Electrical and Chemical Coupling.” 2017. Doctoral Dissertation, Georgia State University. Accessed June 17, 2019. https://scholarworks.gsu.edu/math_diss/44.

MLA Handbook (7th Edition):

Reimbayev, Reimbay. “Synchronization in Neuronal Networks with Electrical and Chemical Coupling.” 2017. Web. 17 Jun 2019.

Vancouver:

Reimbayev R. Synchronization in Neuronal Networks with Electrical and Chemical Coupling. [Internet] [Doctoral dissertation]. Georgia State University; 2017. [cited 2019 Jun 17]. Available from: https://scholarworks.gsu.edu/math_diss/44.

Council of Science Editors:

Reimbayev R. Synchronization in Neuronal Networks with Electrical and Chemical Coupling. [Doctoral Dissertation]. Georgia State University; 2017. Available from: https://scholarworks.gsu.edu/math_diss/44

2. DeCamp, Linda. Regularized Numerical Algorithms For Stable Parameter Estimation In Epidemiology And Implications For Forecasting.

Degree: PhD, Mathematics and Statistics, 2017, Georgia State University

  When an emerging outbreak occurs, stable parameter estimation and reliable projections of future incidence cases using limited (early) data can play an important role… (more)

Subjects/Keywords: Inverse Problems; Epidemiology; Regularization; Parameter Estimation; Forecasting

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APA (6th Edition):

DeCamp, L. (2017). Regularized Numerical Algorithms For Stable Parameter Estimation In Epidemiology And Implications For Forecasting. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_diss/45

Chicago Manual of Style (16th Edition):

DeCamp, Linda. “Regularized Numerical Algorithms For Stable Parameter Estimation In Epidemiology And Implications For Forecasting.” 2017. Doctoral Dissertation, Georgia State University. Accessed June 17, 2019. https://scholarworks.gsu.edu/math_diss/45.

MLA Handbook (7th Edition):

DeCamp, Linda. “Regularized Numerical Algorithms For Stable Parameter Estimation In Epidemiology And Implications For Forecasting.” 2017. Web. 17 Jun 2019.

Vancouver:

DeCamp L. Regularized Numerical Algorithms For Stable Parameter Estimation In Epidemiology And Implications For Forecasting. [Internet] [Doctoral dissertation]. Georgia State University; 2017. [cited 2019 Jun 17]. Available from: https://scholarworks.gsu.edu/math_diss/45.

Council of Science Editors:

DeCamp L. Regularized Numerical Algorithms For Stable Parameter Estimation In Epidemiology And Implications For Forecasting. [Doctoral Dissertation]. Georgia State University; 2017. Available from: https://scholarworks.gsu.edu/math_diss/45

3. Liu, Hui. On Regularized Newton-type Algorithms and A Posteriori Error Estimates for Solving Ill-posed Inverse Problems.

Degree: PhD, Mathematics and Statistics, 2015, Georgia State University

  Ill-posed inverse problems have wide applications in many fields such as oceanography, signal processing, machine learning, biomedical imaging, remote sensing, geophysics, and others. In… (more)

Subjects/Keywords: nonlinear ill-posed problem; iterative regularization; stopping rule; image restoration; inverse scattering problem; a posteriori error estimate

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APA (6th Edition):

Liu, H. (2015). On Regularized Newton-type Algorithms and A Posteriori Error Estimates for Solving Ill-posed Inverse Problems. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_diss/25

Chicago Manual of Style (16th Edition):

Liu, Hui. “On Regularized Newton-type Algorithms and A Posteriori Error Estimates for Solving Ill-posed Inverse Problems.” 2015. Doctoral Dissertation, Georgia State University. Accessed June 17, 2019. https://scholarworks.gsu.edu/math_diss/25.

MLA Handbook (7th Edition):

Liu, Hui. “On Regularized Newton-type Algorithms and A Posteriori Error Estimates for Solving Ill-posed Inverse Problems.” 2015. Web. 17 Jun 2019.

Vancouver:

Liu H. On Regularized Newton-type Algorithms and A Posteriori Error Estimates for Solving Ill-posed Inverse Problems. [Internet] [Doctoral dissertation]. Georgia State University; 2015. [cited 2019 Jun 17]. Available from: https://scholarworks.gsu.edu/math_diss/25.

Council of Science Editors:

Liu H. On Regularized Newton-type Algorithms and A Posteriori Error Estimates for Solving Ill-posed Inverse Problems. [Doctoral Dissertation]. Georgia State University; 2015. Available from: https://scholarworks.gsu.edu/math_diss/25


Georgia State University

4. Whitney, MaryGeorge L. Theoretical and Numerical Study of Tikhonov's Regularization and Morozov's Discrepancy Principle.

Degree: MS, Mathematics and Statistics, 2009, Georgia State University

  A concept of a well-posed problem was initially introduced by J. Hadamard in 1923, who expressed the idea that every mathematical model should have… (more)

Subjects/Keywords: Tikhonov regularization; Morozov discrepancy principle; Ill- posed problems; Newton's method; Georgia State University; Mathematics

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APA (6th Edition):

Whitney, M. L. (2009). Theoretical and Numerical Study of Tikhonov's Regularization and Morozov's Discrepancy Principle. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/77

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Whitney, MaryGeorge L. “Theoretical and Numerical Study of Tikhonov's Regularization and Morozov's Discrepancy Principle.” 2009. Thesis, Georgia State University. Accessed June 17, 2019. https://scholarworks.gsu.edu/math_theses/77.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Whitney, MaryGeorge L. “Theoretical and Numerical Study of Tikhonov's Regularization and Morozov's Discrepancy Principle.” 2009. Web. 17 Jun 2019.

Vancouver:

Whitney ML. Theoretical and Numerical Study of Tikhonov's Regularization and Morozov's Discrepancy Principle. [Internet] [Thesis]. Georgia State University; 2009. [cited 2019 Jun 17]. Available from: https://scholarworks.gsu.edu/math_theses/77.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Whitney ML. Theoretical and Numerical Study of Tikhonov's Regularization and Morozov's Discrepancy Principle. [Thesis]. Georgia State University; 2009. Available from: https://scholarworks.gsu.edu/math_theses/77

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Georgia State University

5. Carter, Douglas M, Jr. Synchronization in Dynamical Networks with Mixed Coupling.

Degree: PhD, Mathematics and Statistics, 2016, Georgia State University

  Synchronization is an important phenomenon which plays a central role in the function or dysfunction of a wide spectrum of biological and technological networks.… (more)

Subjects/Keywords: Dynamical System; Synchronization; Stability; Graph Theory

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APA (6th Edition):

Carter, Douglas M, J. (2016). Synchronization in Dynamical Networks with Mixed Coupling. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_diss/30

Chicago Manual of Style (16th Edition):

Carter, Douglas M, Jr. “Synchronization in Dynamical Networks with Mixed Coupling.” 2016. Doctoral Dissertation, Georgia State University. Accessed June 17, 2019. https://scholarworks.gsu.edu/math_diss/30.

MLA Handbook (7th Edition):

Carter, Douglas M, Jr. “Synchronization in Dynamical Networks with Mixed Coupling.” 2016. Web. 17 Jun 2019.

Vancouver:

Carter, Douglas M J. Synchronization in Dynamical Networks with Mixed Coupling. [Internet] [Doctoral dissertation]. Georgia State University; 2016. [cited 2019 Jun 17]. Available from: https://scholarworks.gsu.edu/math_diss/30.

Council of Science Editors:

Carter, Douglas M J. Synchronization in Dynamical Networks with Mixed Coupling. [Doctoral Dissertation]. Georgia State University; 2016. Available from: https://scholarworks.gsu.edu/math_diss/30


Georgia State University

6. Brooks, Matthew Bryan. Multistability in Bursting Patterns in a Model of a Multifunctional Central Pattern Generator.

Degree: MS, Mathematics and Statistics, 2009, Georgia State University

 A multifunctional central pattern generator (CPG) can produce bursting polyrhythms that determine locomotive activity in an animal: for example, swimming and crawling in a leech.… (more)

Subjects/Keywords: Computational neuroscience; Bifurcation; Bursting; Central pattern generator; Multistability; Polyrhythmicity; Attractors; Heteroclinic; Saddles; Mathematics

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APA (6th Edition):

Brooks, M. B. (2009). Multistability in Bursting Patterns in a Model of a Multifunctional Central Pattern Generator. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/73

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Brooks, Matthew Bryan. “Multistability in Bursting Patterns in a Model of a Multifunctional Central Pattern Generator.” 2009. Thesis, Georgia State University. Accessed June 17, 2019. https://scholarworks.gsu.edu/math_theses/73.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Brooks, Matthew Bryan. “Multistability in Bursting Patterns in a Model of a Multifunctional Central Pattern Generator.” 2009. Web. 17 Jun 2019.

Vancouver:

Brooks MB. Multistability in Bursting Patterns in a Model of a Multifunctional Central Pattern Generator. [Internet] [Thesis]. Georgia State University; 2009. [cited 2019 Jun 17]. Available from: https://scholarworks.gsu.edu/math_theses/73.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Brooks MB. Multistability in Bursting Patterns in a Model of a Multifunctional Central Pattern Generator. [Thesis]. Georgia State University; 2009. Available from: https://scholarworks.gsu.edu/math_theses/73

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

7. Nieto, Bernardo. Accurate Approximation Series for Optimal Targeting Regions in a Neural Growth Model with a Low –branching Probability.

Degree: MS, Mathematics and Statistics, 2015, Georgia State University

  Understanding the complex growth process of dendritic arbors is essential for the medical field and disciplines like Biology and Neurosciences. The establishment of the… (more)

Subjects/Keywords: Growth of neural trees; Computational model; Stochastic branching probability; Expected number of active branches; Variances; Recurrence formula

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APA (6th Edition):

Nieto, B. (2015). Accurate Approximation Series for Optimal Targeting Regions in a Neural Growth Model with a Low –branching Probability. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/150

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nieto, Bernardo. “Accurate Approximation Series for Optimal Targeting Regions in a Neural Growth Model with a Low –branching Probability.” 2015. Thesis, Georgia State University. Accessed June 17, 2019. https://scholarworks.gsu.edu/math_theses/150.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nieto, Bernardo. “Accurate Approximation Series for Optimal Targeting Regions in a Neural Growth Model with a Low –branching Probability.” 2015. Web. 17 Jun 2019.

Vancouver:

Nieto B. Accurate Approximation Series for Optimal Targeting Regions in a Neural Growth Model with a Low –branching Probability. [Internet] [Thesis]. Georgia State University; 2015. [cited 2019 Jun 17]. Available from: https://scholarworks.gsu.edu/math_theses/150.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nieto B. Accurate Approximation Series for Optimal Targeting Regions in a Neural Growth Model with a Low –branching Probability. [Thesis]. Georgia State University; 2015. Available from: https://scholarworks.gsu.edu/math_theses/150

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

8. Xing, Tingli. Computational Study in Chaotic Dynamical Systems and Mechanisms for Pattern Generation in Three-Cell Networks.

Degree: PhD, Mathematics and Statistics, 2015, Georgia State University

  A computational technique is introduced to reveal the complex intrinsic structure of homoclinic and heteroclinic bifurcations in a chaotic dynamical system. This technique is… (more)

Subjects/Keywords: Saddle; Saddle-focus; Lorenz attractor; Chaos; Escape; CPG

Vladimir Bondarenko, Dr. Frank Hall, Dr. Zhongshan Li, Dr. Imre Patyi, Dr. Xin Qi, Dr. Gengsheng… …xii LIST OF ABBREVIATIONS • CPG - Central Pattern Generator • GSU - Georgia State… …University • HB - Homoclinic Bifurcation • PM - Pace-Maker • TW - Traveling-Wave • SM - Shimizu… 

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APA (6th Edition):

Xing, T. (2015). Computational Study in Chaotic Dynamical Systems and Mechanisms for Pattern Generation in Three-Cell Networks. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_diss/27

Chicago Manual of Style (16th Edition):

Xing, Tingli. “Computational Study in Chaotic Dynamical Systems and Mechanisms for Pattern Generation in Three-Cell Networks.” 2015. Doctoral Dissertation, Georgia State University. Accessed June 17, 2019. https://scholarworks.gsu.edu/math_diss/27.

MLA Handbook (7th Edition):

Xing, Tingli. “Computational Study in Chaotic Dynamical Systems and Mechanisms for Pattern Generation in Three-Cell Networks.” 2015. Web. 17 Jun 2019.

Vancouver:

Xing T. Computational Study in Chaotic Dynamical Systems and Mechanisms for Pattern Generation in Three-Cell Networks. [Internet] [Doctoral dissertation]. Georgia State University; 2015. [cited 2019 Jun 17]. Available from: https://scholarworks.gsu.edu/math_diss/27.

Council of Science Editors:

Xing T. Computational Study in Chaotic Dynamical Systems and Mechanisms for Pattern Generation in Three-Cell Networks. [Doctoral Dissertation]. Georgia State University; 2015. Available from: https://scholarworks.gsu.edu/math_diss/27

9. Jalil, Sajiya Jesmin. Stability Analysis of Phase-Locked Bursting in Inhibitory Neuron Networks.

Degree: PhD, Mathematics and Statistics, 2012, Georgia State University

  Networks of neurons, which form central pattern generators (CPGs), are important for controlling animal behaviors. Of special interest are configurations or CPG motifs composed… (more)

Subjects/Keywords: Bursting neurons; Central pattern generators; Multistability; Variational equations; Lyapunov exponents; Poincare return maps

…committee members Drs. Vladimir Bondarenko and Rob Clewley for their support and guidance. This… 

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APA (6th Edition):

Jalil, S. J. (2012). Stability Analysis of Phase-Locked Bursting in Inhibitory Neuron Networks. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_diss/7

Chicago Manual of Style (16th Edition):

Jalil, Sajiya Jesmin. “Stability Analysis of Phase-Locked Bursting in Inhibitory Neuron Networks.” 2012. Doctoral Dissertation, Georgia State University. Accessed June 17, 2019. https://scholarworks.gsu.edu/math_diss/7.

MLA Handbook (7th Edition):

Jalil, Sajiya Jesmin. “Stability Analysis of Phase-Locked Bursting in Inhibitory Neuron Networks.” 2012. Web. 17 Jun 2019.

Vancouver:

Jalil SJ. Stability Analysis of Phase-Locked Bursting in Inhibitory Neuron Networks. [Internet] [Doctoral dissertation]. Georgia State University; 2012. [cited 2019 Jun 17]. Available from: https://scholarworks.gsu.edu/math_diss/7.

Council of Science Editors:

Jalil SJ. Stability Analysis of Phase-Locked Bursting in Inhibitory Neuron Networks. [Doctoral Dissertation]. Georgia State University; 2012. Available from: https://scholarworks.gsu.edu/math_diss/7

10. Rozier, Kelvin. A Mathematical Model of the Combined β1- and β2-Adrenergic Signaling System in the Mouse Ventricular Myocyte.

Degree: PhD, Mathematics and Statistics, 2017, Georgia State University

  The β1- and β2-adrenergic signaling systems play different roles in the functioning of cardiac cells. Experimental data shows that the activation of the β1-adrenergic… (more)

Subjects/Keywords: Mathematical model; Adrenergic signaling system; Cardiac cell model

…the host of professors at Georgia State University whom I have been privileged to study… 

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APA (6th Edition):

Rozier, K. (2017). A Mathematical Model of the Combined β1- and β2-Adrenergic Signaling System in the Mouse Ventricular Myocyte. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_diss/43

Chicago Manual of Style (16th Edition):

Rozier, Kelvin. “A Mathematical Model of the Combined β1- and β2-Adrenergic Signaling System in the Mouse Ventricular Myocyte.” 2017. Doctoral Dissertation, Georgia State University. Accessed June 17, 2019. https://scholarworks.gsu.edu/math_diss/43.

MLA Handbook (7th Edition):

Rozier, Kelvin. “A Mathematical Model of the Combined β1- and β2-Adrenergic Signaling System in the Mouse Ventricular Myocyte.” 2017. Web. 17 Jun 2019.

Vancouver:

Rozier K. A Mathematical Model of the Combined β1- and β2-Adrenergic Signaling System in the Mouse Ventricular Myocyte. [Internet] [Doctoral dissertation]. Georgia State University; 2017. [cited 2019 Jun 17]. Available from: https://scholarworks.gsu.edu/math_diss/43.

Council of Science Editors:

Rozier K. A Mathematical Model of the Combined β1- and β2-Adrenergic Signaling System in the Mouse Ventricular Myocyte. [Doctoral Dissertation]. Georgia State University; 2017. Available from: https://scholarworks.gsu.edu/math_diss/43

11. Zhao, Kun. Mathematical Methods for Network Analysis, Proteomics and Disease Prevention.

Degree: PhD, Mathematics and Statistics, 2012, Georgia State University

  This dissertation aims at analyzing complex problems arising in the context of dynamical networks, proteomics, and disease prevention. First, a new graph-based method for… (more)

Subjects/Keywords: Dynamical system; Synchronization; Graph Theory; Metal-binding site; Combinatorial Optimization; Sexually transmitted disease

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APA (6th Edition):

Zhao, K. (2012). Mathematical Methods for Network Analysis, Proteomics and Disease Prevention. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_diss/6

Chicago Manual of Style (16th Edition):

Zhao, Kun. “Mathematical Methods for Network Analysis, Proteomics and Disease Prevention.” 2012. Doctoral Dissertation, Georgia State University. Accessed June 17, 2019. https://scholarworks.gsu.edu/math_diss/6.

MLA Handbook (7th Edition):

Zhao, Kun. “Mathematical Methods for Network Analysis, Proteomics and Disease Prevention.” 2012. Web. 17 Jun 2019.

Vancouver:

Zhao K. Mathematical Methods for Network Analysis, Proteomics and Disease Prevention. [Internet] [Doctoral dissertation]. Georgia State University; 2012. [cited 2019 Jun 17]. Available from: https://scholarworks.gsu.edu/math_diss/6.

Council of Science Editors:

Zhao K. Mathematical Methods for Network Analysis, Proteomics and Disease Prevention. [Doctoral Dissertation]. Georgia State University; 2012. Available from: https://scholarworks.gsu.edu/math_diss/6

.