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You searched for +publisher:"Georgia State University" +contributor:("Mukesh Dhamala"). Showing records 1 – 20 of 20 total matches.

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Georgia State University

1. Ciarochi, Jennifer. Prodromal Variability in Huntington's Disease Progression and Resistance.

Degree: PhD, Neuroscience Institute, 2018, Georgia State University

  Huntington’s disease (HD) is a neurodegenerative movement disorder caused by abnormal cytosine-adenine-guanine (CAG) expansion on the HTT gene. As both a proteinopathy and the… (more)

Subjects/Keywords: Huntington’s disease; Genetic modifiers; Multivariate methods; Prodromal symptoms; Disease progression; Brain-derived neurotrophic factor

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APA (6th Edition):

Ciarochi, J. (2018). Prodromal Variability in Huntington's Disease Progression and Resistance. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/neurosci_diss/39

Chicago Manual of Style (16th Edition):

Ciarochi, Jennifer. “Prodromal Variability in Huntington's Disease Progression and Resistance.” 2018. Doctoral Dissertation, Georgia State University. Accessed September 28, 2020. https://scholarworks.gsu.edu/neurosci_diss/39.

MLA Handbook (7th Edition):

Ciarochi, Jennifer. “Prodromal Variability in Huntington's Disease Progression and Resistance.” 2018. Web. 28 Sep 2020.

Vancouver:

Ciarochi J. Prodromal Variability in Huntington's Disease Progression and Resistance. [Internet] [Doctoral dissertation]. Georgia State University; 2018. [cited 2020 Sep 28]. Available from: https://scholarworks.gsu.edu/neurosci_diss/39.

Council of Science Editors:

Ciarochi J. Prodromal Variability in Huntington's Disease Progression and Resistance. [Doctoral Dissertation]. Georgia State University; 2018. Available from: https://scholarworks.gsu.edu/neurosci_diss/39


Georgia State University

2. Pusuluri, Krishna. Complex Dynamics in Dedicated / Multifunctional Neural Networks and Chaotic Nonlinear Systems.

Degree: PhD, Neuroscience Institute, 2020, Georgia State University

 We study complex behaviors arising in neuroscience and other nonlinear systems by combining dynamical systems analysis with modern computational approaches including GPU parallelization and unsupervised… (more)

Subjects/Keywords: Neural networks; Multistability; Central Pattern Generators; Dynamical systems; Chaos; Unsupervised machine learning

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APA (6th Edition):

Pusuluri, K. (2020). Complex Dynamics in Dedicated / Multifunctional Neural Networks and Chaotic Nonlinear Systems. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/neurosci_diss/49

Chicago Manual of Style (16th Edition):

Pusuluri, Krishna. “Complex Dynamics in Dedicated / Multifunctional Neural Networks and Chaotic Nonlinear Systems.” 2020. Doctoral Dissertation, Georgia State University. Accessed September 28, 2020. https://scholarworks.gsu.edu/neurosci_diss/49.

MLA Handbook (7th Edition):

Pusuluri, Krishna. “Complex Dynamics in Dedicated / Multifunctional Neural Networks and Chaotic Nonlinear Systems.” 2020. Web. 28 Sep 2020.

Vancouver:

Pusuluri K. Complex Dynamics in Dedicated / Multifunctional Neural Networks and Chaotic Nonlinear Systems. [Internet] [Doctoral dissertation]. Georgia State University; 2020. [cited 2020 Sep 28]. Available from: https://scholarworks.gsu.edu/neurosci_diss/49.

Council of Science Editors:

Pusuluri K. Complex Dynamics in Dedicated / Multifunctional Neural Networks and Chaotic Nonlinear Systems. [Doctoral Dissertation]. Georgia State University; 2020. Available from: https://scholarworks.gsu.edu/neurosci_diss/49

3. Bajaj, Sahil. Brain Connectivity changes after Stroke and Rehabilitation.

Degree: PhD, Physics and Astronomy, 2015, Georgia State University

  Several cortical and subcortical areas of brain interact coherently during various tasks such as motor-imagery (MI) and motor-execution (ME) and even during resting-state (RS).… (more)

Subjects/Keywords: Functional magnetic resonance imaging; Spectral Granger causality; Dynamical causal modeling; Stroke recovery; Rehabilitation; Motor network

Mukesh Dhamala. It would not have been possible to write this thesis without his endless help… 

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APA (6th Edition):

Bajaj, S. (2015). Brain Connectivity changes after Stroke and Rehabilitation. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/phy_astr_diss/76

Chicago Manual of Style (16th Edition):

Bajaj, Sahil. “Brain Connectivity changes after Stroke and Rehabilitation.” 2015. Doctoral Dissertation, Georgia State University. Accessed September 28, 2020. https://scholarworks.gsu.edu/phy_astr_diss/76.

MLA Handbook (7th Edition):

Bajaj, Sahil. “Brain Connectivity changes after Stroke and Rehabilitation.” 2015. Web. 28 Sep 2020.

Vancouver:

Bajaj S. Brain Connectivity changes after Stroke and Rehabilitation. [Internet] [Doctoral dissertation]. Georgia State University; 2015. [cited 2020 Sep 28]. Available from: https://scholarworks.gsu.edu/phy_astr_diss/76.

Council of Science Editors:

Bajaj S. Brain Connectivity changes after Stroke and Rehabilitation. [Doctoral Dissertation]. Georgia State University; 2015. Available from: https://scholarworks.gsu.edu/phy_astr_diss/76


Georgia State University

4. Malashchenko, Tatiana. Mechanisms of Multistability in Neuronal Models.

Degree: PhD, Physics and Astronomy, 2011, Georgia State University

  Multistability is a fundamental attribute of the dynamics of neuronal systems under normal and pathological conditions. The mechanism of bistability of bursting and silence… (more)

Subjects/Keywords: Multistability; Bistability; Bursting; Silence; Co-existence; Neuron; Astrophysics and Astronomy; Physics

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APA (6th Edition):

Malashchenko, T. (2011). Mechanisms of Multistability in Neuronal Models. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/phy_astr_diss/46

Chicago Manual of Style (16th Edition):

Malashchenko, Tatiana. “Mechanisms of Multistability in Neuronal Models.” 2011. Doctoral Dissertation, Georgia State University. Accessed September 28, 2020. https://scholarworks.gsu.edu/phy_astr_diss/46.

MLA Handbook (7th Edition):

Malashchenko, Tatiana. “Mechanisms of Multistability in Neuronal Models.” 2011. Web. 28 Sep 2020.

Vancouver:

Malashchenko T. Mechanisms of Multistability in Neuronal Models. [Internet] [Doctoral dissertation]. Georgia State University; 2011. [cited 2020 Sep 28]. Available from: https://scholarworks.gsu.edu/phy_astr_diss/46.

Council of Science Editors:

Malashchenko T. Mechanisms of Multistability in Neuronal Models. [Doctoral Dissertation]. Georgia State University; 2011. Available from: https://scholarworks.gsu.edu/phy_astr_diss/46


Georgia State University

5. Hare, Stephanie Marie. Monitoring Self & World: A Novel Network Model of Hallucinations in Schizophrenia.

Degree: PhD, Neuroscience Institute, 2018, Georgia State University

  Schizophrenia (Sz) is a psychotic disorder characterized by multifaceted symptoms including hallucinations (e.g. vivid perceptions that occur in the absence of external stimuli). Auditory… (more)

Subjects/Keywords: fMRI; Schizophrenia; Hallucinations; Salience network; Hippocampus

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APA (6th Edition):

Hare, S. M. (2018). Monitoring Self & World: A Novel Network Model of Hallucinations in Schizophrenia. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/neurosci_diss/35

Chicago Manual of Style (16th Edition):

Hare, Stephanie Marie. “Monitoring Self & World: A Novel Network Model of Hallucinations in Schizophrenia.” 2018. Doctoral Dissertation, Georgia State University. Accessed September 28, 2020. https://scholarworks.gsu.edu/neurosci_diss/35.

MLA Handbook (7th Edition):

Hare, Stephanie Marie. “Monitoring Self & World: A Novel Network Model of Hallucinations in Schizophrenia.” 2018. Web. 28 Sep 2020.

Vancouver:

Hare SM. Monitoring Self & World: A Novel Network Model of Hallucinations in Schizophrenia. [Internet] [Doctoral dissertation]. Georgia State University; 2018. [cited 2020 Sep 28]. Available from: https://scholarworks.gsu.edu/neurosci_diss/35.

Council of Science Editors:

Hare SM. Monitoring Self & World: A Novel Network Model of Hallucinations in Schizophrenia. [Doctoral Dissertation]. Georgia State University; 2018. Available from: https://scholarworks.gsu.edu/neurosci_diss/35


Georgia State University

6. Roberts, Caroline. The Supermassive Black Hole Mass of NGC 4151 from Stellar Dynamical Modeling.

Degree: PhD, Physics and Astronomy, 2019, Georgia State University

  The mass of a supermassive black hole (MBH) is a fundamental property that can be obtained through observational methods. Constraining MBH through multiple methods… (more)

Subjects/Keywords: Observational astronomy; Galaxy evolution; Active galactic nuclei; Seyfert galaxies; Supermassive black holes; Stellar dynamical modeling

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APA (6th Edition):

Roberts, C. (2019). The Supermassive Black Hole Mass of NGC 4151 from Stellar Dynamical Modeling. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/phy_astr_diss/113

Chicago Manual of Style (16th Edition):

Roberts, Caroline. “The Supermassive Black Hole Mass of NGC 4151 from Stellar Dynamical Modeling.” 2019. Doctoral Dissertation, Georgia State University. Accessed September 28, 2020. https://scholarworks.gsu.edu/phy_astr_diss/113.

MLA Handbook (7th Edition):

Roberts, Caroline. “The Supermassive Black Hole Mass of NGC 4151 from Stellar Dynamical Modeling.” 2019. Web. 28 Sep 2020.

Vancouver:

Roberts C. The Supermassive Black Hole Mass of NGC 4151 from Stellar Dynamical Modeling. [Internet] [Doctoral dissertation]. Georgia State University; 2019. [cited 2020 Sep 28]. Available from: https://scholarworks.gsu.edu/phy_astr_diss/113.

Council of Science Editors:

Roberts C. The Supermassive Black Hole Mass of NGC 4151 from Stellar Dynamical Modeling. [Doctoral Dissertation]. Georgia State University; 2019. Available from: https://scholarworks.gsu.edu/phy_astr_diss/113


Georgia State University

7. Keating, David A. Evolution of Relativistic Effects in the Photoionization of Free and Confined Heavy Atoms.

Degree: PhD, Physics and Astronomy, 2018, Georgia State University

  At high enough Z relativistic effects become important contributors to even the qualitative nature of atomic properties. This is likely to be true for… (more)

Subjects/Keywords: Atomic physics; Relativistic effects; Photoionization; RRPA; RPAE; Confined atoms

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APA (6th Edition):

Keating, D. A. (2018). Evolution of Relativistic Effects in the Photoionization of Free and Confined Heavy Atoms. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/phy_astr_diss/104

Chicago Manual of Style (16th Edition):

Keating, David A. “Evolution of Relativistic Effects in the Photoionization of Free and Confined Heavy Atoms.” 2018. Doctoral Dissertation, Georgia State University. Accessed September 28, 2020. https://scholarworks.gsu.edu/phy_astr_diss/104.

MLA Handbook (7th Edition):

Keating, David A. “Evolution of Relativistic Effects in the Photoionization of Free and Confined Heavy Atoms.” 2018. Web. 28 Sep 2020.

Vancouver:

Keating DA. Evolution of Relativistic Effects in the Photoionization of Free and Confined Heavy Atoms. [Internet] [Doctoral dissertation]. Georgia State University; 2018. [cited 2020 Sep 28]. Available from: https://scholarworks.gsu.edu/phy_astr_diss/104.

Council of Science Editors:

Keating DA. Evolution of Relativistic Effects in the Photoionization of Free and Confined Heavy Atoms. [Doctoral Dissertation]. Georgia State University; 2018. Available from: https://scholarworks.gsu.edu/phy_astr_diss/104


Georgia State University

8. Makita, Hiroki. Bioenergetics in Photosystem I: Time-Resolved Step-Scan FTIR and Visible Spectroscopic Studies of the Secondary Electron Acceptor A1.

Degree: PhD, Physics and Astronomy, 2018, Georgia State University

  Time-resolved infrared and visible absorption difference spectroscopy was applied for the study of electron transfer (ET) reactions involving A1, the secondary electron acceptor in… (more)

Subjects/Keywords: Photosynthesis; Photosystem I; Electron transfer; Time-resolved spectroscopy; FTIR; A1

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APA (6th Edition):

Makita, H. (2018). Bioenergetics in Photosystem I: Time-Resolved Step-Scan FTIR and Visible Spectroscopic Studies of the Secondary Electron Acceptor A1. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/phy_astr_diss/106

Chicago Manual of Style (16th Edition):

Makita, Hiroki. “Bioenergetics in Photosystem I: Time-Resolved Step-Scan FTIR and Visible Spectroscopic Studies of the Secondary Electron Acceptor A1.” 2018. Doctoral Dissertation, Georgia State University. Accessed September 28, 2020. https://scholarworks.gsu.edu/phy_astr_diss/106.

MLA Handbook (7th Edition):

Makita, Hiroki. “Bioenergetics in Photosystem I: Time-Resolved Step-Scan FTIR and Visible Spectroscopic Studies of the Secondary Electron Acceptor A1.” 2018. Web. 28 Sep 2020.

Vancouver:

Makita H. Bioenergetics in Photosystem I: Time-Resolved Step-Scan FTIR and Visible Spectroscopic Studies of the Secondary Electron Acceptor A1. [Internet] [Doctoral dissertation]. Georgia State University; 2018. [cited 2020 Sep 28]. Available from: https://scholarworks.gsu.edu/phy_astr_diss/106.

Council of Science Editors:

Makita H. Bioenergetics in Photosystem I: Time-Resolved Step-Scan FTIR and Visible Spectroscopic Studies of the Secondary Electron Acceptor A1. [Doctoral Dissertation]. Georgia State University; 2018. Available from: https://scholarworks.gsu.edu/phy_astr_diss/106


Georgia State University

9. Rothmeier, Greggory H. Brain tissue temperature dynamics during functional activity and possibilities for optical measurement techniques.

Degree: MS, Physics and Astronomy, 2012, Georgia State University

  Regional tissue temperature dynamics in the brain are determined by the balance of the metabolic heat production rate and heat exchange with blood flowing… (more)

Subjects/Keywords: Functional magnetic resonance imaging; Blood oxygen level dependent; Brain temperature; Functional near-infrared spectroscopy

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APA (6th Edition):

Rothmeier, G. H. (2012). Brain tissue temperature dynamics during functional activity and possibilities for optical measurement techniques. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/phy_astr_theses/14

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):

Rothmeier, Greggory H. “Brain tissue temperature dynamics during functional activity and possibilities for optical measurement techniques.” 2012. Thesis, Georgia State University. Accessed September 28, 2020. https://scholarworks.gsu.edu/phy_astr_theses/14.

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

MLA Handbook (7th Edition):

Rothmeier, Greggory H. “Brain tissue temperature dynamics during functional activity and possibilities for optical measurement techniques.” 2012. Web. 28 Sep 2020.

Vancouver:

Rothmeier GH. Brain tissue temperature dynamics during functional activity and possibilities for optical measurement techniques. [Internet] [Thesis]. Georgia State University; 2012. [cited 2020 Sep 28]. Available from: https://scholarworks.gsu.edu/phy_astr_theses/14.

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

Council of Science Editors:

Rothmeier GH. Brain tissue temperature dynamics during functional activity and possibilities for optical measurement techniques. [Thesis]. Georgia State University; 2012. Available from: https://scholarworks.gsu.edu/phy_astr_theses/14

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


Georgia State University

10. Barnett, William. Mechanisms of the Coregulation of Multiple Ionic Currents for the Control of Neuronal Activity.

Degree: PhD, Neuroscience Institute, 2015, Georgia State University

  An open question in contemporary neuroscience is how neuromodulators coregulate multiple conductances to maintain functional neuronal activity. Neuromodulators enact changes to properties of biophysical… (more)

Subjects/Keywords: Bursting; Central pattern generator; Neuromodulation

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APA (6th Edition):

Barnett, W. (2015). Mechanisms of the Coregulation of Multiple Ionic Currents for the Control of Neuronal Activity. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/neurosci_diss/18

Chicago Manual of Style (16th Edition):

Barnett, William. “Mechanisms of the Coregulation of Multiple Ionic Currents for the Control of Neuronal Activity.” 2015. Doctoral Dissertation, Georgia State University. Accessed September 28, 2020. https://scholarworks.gsu.edu/neurosci_diss/18.

MLA Handbook (7th Edition):

Barnett, William. “Mechanisms of the Coregulation of Multiple Ionic Currents for the Control of Neuronal Activity.” 2015. Web. 28 Sep 2020.

Vancouver:

Barnett W. Mechanisms of the Coregulation of Multiple Ionic Currents for the Control of Neuronal Activity. [Internet] [Doctoral dissertation]. Georgia State University; 2015. [cited 2020 Sep 28]. Available from: https://scholarworks.gsu.edu/neurosci_diss/18.

Council of Science Editors:

Barnett W. Mechanisms of the Coregulation of Multiple Ionic Currents for the Control of Neuronal Activity. [Doctoral Dissertation]. Georgia State University; 2015. Available from: https://scholarworks.gsu.edu/neurosci_diss/18


Georgia State University

11. Topdemir, Zeynep. Pedagogical Effects on Student Learning, Attitude, and Retention of Physics Majors.

Degree: PhD, Physics and Astronomy, 2020, Georgia State University

  This dissertation aims to improve physics education by evaluating instructional interventions in introductory physics courses and retention decisions of physics majors. Physics Education Research… (more)

Subjects/Keywords: PER; SCALE-UP; lab reform; retention; physics identity; integration

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APA (6th Edition):

Topdemir, Z. (2020). Pedagogical Effects on Student Learning, Attitude, and Retention of Physics Majors. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/phy_astr_diss/125

Chicago Manual of Style (16th Edition):

Topdemir, Zeynep. “Pedagogical Effects on Student Learning, Attitude, and Retention of Physics Majors.” 2020. Doctoral Dissertation, Georgia State University. Accessed September 28, 2020. https://scholarworks.gsu.edu/phy_astr_diss/125.

MLA Handbook (7th Edition):

Topdemir, Zeynep. “Pedagogical Effects on Student Learning, Attitude, and Retention of Physics Majors.” 2020. Web. 28 Sep 2020.

Vancouver:

Topdemir Z. Pedagogical Effects on Student Learning, Attitude, and Retention of Physics Majors. [Internet] [Doctoral dissertation]. Georgia State University; 2020. [cited 2020 Sep 28]. Available from: https://scholarworks.gsu.edu/phy_astr_diss/125.

Council of Science Editors:

Topdemir Z. Pedagogical Effects on Student Learning, Attitude, and Retention of Physics Majors. [Doctoral Dissertation]. Georgia State University; 2020. Available from: https://scholarworks.gsu.edu/phy_astr_diss/125


Georgia State University

12. Dhakal, Kiran. Brain Functional and Structural Networks Underpinning Musical Creativity.

Degree: PhD, Physics and Astronomy, 2020, Georgia State University

  Musical improvisation is one of the most complex forms of creative behavior, which offers a realistic task paradigm for the investigation of real-time creativity.… (more)

Subjects/Keywords: neural correlates of creativity; musical improvisation; music and brain; brain connectivity; white matter fiber tracts

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APA (6th Edition):

Dhakal, K. (2020). Brain Functional and Structural Networks Underpinning Musical Creativity. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/phy_astr_diss/124

Chicago Manual of Style (16th Edition):

Dhakal, Kiran. “Brain Functional and Structural Networks Underpinning Musical Creativity.” 2020. Doctoral Dissertation, Georgia State University. Accessed September 28, 2020. https://scholarworks.gsu.edu/phy_astr_diss/124.

MLA Handbook (7th Edition):

Dhakal, Kiran. “Brain Functional and Structural Networks Underpinning Musical Creativity.” 2020. Web. 28 Sep 2020.

Vancouver:

Dhakal K. Brain Functional and Structural Networks Underpinning Musical Creativity. [Internet] [Doctoral dissertation]. Georgia State University; 2020. [cited 2020 Sep 28]. Available from: https://scholarworks.gsu.edu/phy_astr_diss/124.

Council of Science Editors:

Dhakal K. Brain Functional and Structural Networks Underpinning Musical Creativity. [Doctoral Dissertation]. Georgia State University; 2020. Available from: https://scholarworks.gsu.edu/phy_astr_diss/124


Georgia State University

13. Chand, Ganesh. Oscillatory Network Dynamics in Perceptual Decision-Making.

Degree: PhD, Physics and Astronomy, 2015, Georgia State University

  Synchronized oscillations of ensembles of neurons in the brain underlie human cognition and behaviors. Neuronal network oscillations can be described by the physics of… (more)

Subjects/Keywords: Electroencephalography (EEG); Neuronal oscillations; Perceptual decision-making; Salience network (SN); Fusiform face area (FFA); Parahippocampal place area (PPA); Dorsolateral prefrontal cortex (DLPFC)

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APA (6th Edition):

Chand, G. (2015). Oscillatory Network Dynamics in Perceptual Decision-Making. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/phy_astr_diss/79

Chicago Manual of Style (16th Edition):

Chand, Ganesh. “Oscillatory Network Dynamics in Perceptual Decision-Making.” 2015. Doctoral Dissertation, Georgia State University. Accessed September 28, 2020. https://scholarworks.gsu.edu/phy_astr_diss/79.

MLA Handbook (7th Edition):

Chand, Ganesh. “Oscillatory Network Dynamics in Perceptual Decision-Making.” 2015. Web. 28 Sep 2020.

Vancouver:

Chand G. Oscillatory Network Dynamics in Perceptual Decision-Making. [Internet] [Doctoral dissertation]. Georgia State University; 2015. [cited 2020 Sep 28]. Available from: https://scholarworks.gsu.edu/phy_astr_diss/79.

Council of Science Editors:

Chand G. Oscillatory Network Dynamics in Perceptual Decision-Making. [Doctoral Dissertation]. Georgia State University; 2015. Available from: https://scholarworks.gsu.edu/phy_astr_diss/79

14. Dhungel, Abinashi. Coronary Artery Calcium Quantification in Contrast-enhanced Computed Tomography Angiography.

Degree: PhD, Computer Science, 2013, Georgia State University

  Coronary arteries are the blood vessels supplying oxygen-rich blood to the heart muscles. Coronary artery calcium (CAC), which is the total amount of calcium… (more)

Subjects/Keywords: Coronary artery calcium; Quantification; Computed tomography angiography; Automatic vessel extraction

…Institute at Georgia State University for the financial support, and Piedmont Heart Institute for… …members Dr. Saeid Belkasim, Dr. Robert Harrison, Dr. Mukesh Dhamala, and Dr. Zhen Qian whose… 

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APA (6th Edition):

Dhungel, A. (2013). Coronary Artery Calcium Quantification in Contrast-enhanced Computed Tomography Angiography. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/80

Chicago Manual of Style (16th Edition):

Dhungel, Abinashi. “Coronary Artery Calcium Quantification in Contrast-enhanced Computed Tomography Angiography.” 2013. Doctoral Dissertation, Georgia State University. Accessed September 28, 2020. https://scholarworks.gsu.edu/cs_diss/80.

MLA Handbook (7th Edition):

Dhungel, Abinashi. “Coronary Artery Calcium Quantification in Contrast-enhanced Computed Tomography Angiography.” 2013. Web. 28 Sep 2020.

Vancouver:

Dhungel A. Coronary Artery Calcium Quantification in Contrast-enhanced Computed Tomography Angiography. [Internet] [Doctoral dissertation]. Georgia State University; 2013. [cited 2020 Sep 28]. Available from: https://scholarworks.gsu.edu/cs_diss/80.

Council of Science Editors:

Dhungel A. Coronary Artery Calcium Quantification in Contrast-enhanced Computed Tomography Angiography. [Doctoral Dissertation]. Georgia State University; 2013. Available from: https://scholarworks.gsu.edu/cs_diss/80

15. Adhikari, Bhim M. Oscillatory Network Activity in Brain Functions and Dysfunctions.

Degree: PhD, Physics and Astronomy, 2014, Georgia State University

  Recent experimental studies point to the notion that the brain is a complex dynamical system whose behaviors relating to brain functions and dysfunctions can… (more)

Subjects/Keywords: Perceptual decision-making; Spectral Granger causality; Cortical sources in tactile discrimination; High-frequency oscillations; seizure localization; Epilepsy surgery

…very little about the research in this field when I was admitted at Georgia State University… …goes to my advisor Dr. Mukesh Dhamala, whose continuous guidance, inspiration and supervision… 

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APA (6th Edition):

Adhikari, B. M. (2014). Oscillatory Network Activity in Brain Functions and Dysfunctions. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/phy_astr_diss/67

Chicago Manual of Style (16th Edition):

Adhikari, Bhim M. “Oscillatory Network Activity in Brain Functions and Dysfunctions.” 2014. Doctoral Dissertation, Georgia State University. Accessed September 28, 2020. https://scholarworks.gsu.edu/phy_astr_diss/67.

MLA Handbook (7th Edition):

Adhikari, Bhim M. “Oscillatory Network Activity in Brain Functions and Dysfunctions.” 2014. Web. 28 Sep 2020.

Vancouver:

Adhikari BM. Oscillatory Network Activity in Brain Functions and Dysfunctions. [Internet] [Doctoral dissertation]. Georgia State University; 2014. [cited 2020 Sep 28]. Available from: https://scholarworks.gsu.edu/phy_astr_diss/67.

Council of Science Editors:

Adhikari BM. Oscillatory Network Activity in Brain Functions and Dysfunctions. [Doctoral Dissertation]. Georgia State University; 2014. Available from: https://scholarworks.gsu.edu/phy_astr_diss/67

16. Lamichhane, Bidhan. Neural Basis of Social and Perceptual Decision-making in Humans.

Degree: PhD, Physics and Astronomy, 2015, Georgia State University

  We make decisions in every moment of our lives. How the brain forms those decisions has been an active topic of inquiry in the… (more)

Subjects/Keywords: Functional magnetic resonance imaging (fMRI); Unfairness; Perceptual decision; Social decision; Task difficulty; Dorsolateral prefrontal cortex (dlPFC); Salience network (SN)

…opportunity to work with during my graduate studies here at Georgia State University (GSU)… …Institutional Review Board of Georgia State University. 2.2.2 Experimental task We used two… …First and foremost, I would like to express my deepest gratitude to Dr. Mukesh Dhamala for… 

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APA (6th Edition):

Lamichhane, B. (2015). Neural Basis of Social and Perceptual Decision-making in Humans. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/phy_astr_diss/74

Chicago Manual of Style (16th Edition):

Lamichhane, Bidhan. “Neural Basis of Social and Perceptual Decision-making in Humans.” 2015. Doctoral Dissertation, Georgia State University. Accessed September 28, 2020. https://scholarworks.gsu.edu/phy_astr_diss/74.

MLA Handbook (7th Edition):

Lamichhane, Bidhan. “Neural Basis of Social and Perceptual Decision-making in Humans.” 2015. Web. 28 Sep 2020.

Vancouver:

Lamichhane B. Neural Basis of Social and Perceptual Decision-making in Humans. [Internet] [Doctoral dissertation]. Georgia State University; 2015. [cited 2020 Sep 28]. Available from: https://scholarworks.gsu.edu/phy_astr_diss/74.

Council of Science Editors:

Lamichhane B. Neural Basis of Social and Perceptual Decision-making in Humans. [Doctoral Dissertation]. Georgia State University; 2015. Available from: https://scholarworks.gsu.edu/phy_astr_diss/74

17. Acharya, Ananta R. Indium Nitride Surface Structure, Desorption Kinetics and Thermal Stability.

Degree: PhD, Physics and Astronomy, 2013, Georgia State University

  Unique physical properties such as small effective mass, high electron drift velocities, high electron mobility and small band gap energy make InN a candidate… (more)

Subjects/Keywords: indium nitride; high resolution electron energy loss spectroscopy; tilted crystallites; polarity; thermal desorption; activation energy

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Acharya, A. R. (2013). Indium Nitride Surface Structure, Desorption Kinetics and Thermal Stability. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/phy_astr_diss/62

Chicago Manual of Style (16th Edition):

Acharya, Ananta R. “Indium Nitride Surface Structure, Desorption Kinetics and Thermal Stability.” 2013. Doctoral Dissertation, Georgia State University. Accessed September 28, 2020. https://scholarworks.gsu.edu/phy_astr_diss/62.

MLA Handbook (7th Edition):

Acharya, Ananta R. “Indium Nitride Surface Structure, Desorption Kinetics and Thermal Stability.” 2013. Web. 28 Sep 2020.

Vancouver:

Acharya AR. Indium Nitride Surface Structure, Desorption Kinetics and Thermal Stability. [Internet] [Doctoral dissertation]. Georgia State University; 2013. [cited 2020 Sep 28]. Available from: https://scholarworks.gsu.edu/phy_astr_diss/62.

Council of Science Editors:

Acharya AR. Indium Nitride Surface Structure, Desorption Kinetics and Thermal Stability. [Doctoral Dissertation]. Georgia State University; 2013. Available from: https://scholarworks.gsu.edu/phy_astr_diss/62

18. Makita, Hiroki. Time Resolved Absorption Spectroscopy for the Study of Electron Transfer Processes in Photosynthetic Systems.

Degree: MS, Physics and Astronomy, 2012, Georgia State University

  Transient absorption spectroscopy was used to study light induced electron transfer processes in Type 1 photosynthetic reaction centers. Flash induced absorption changes were probed… (more)

Subjects/Keywords: Photosynthesis; Photosystem I; P700; Laser flash photolysis; Pump-probe spectroscopy; menB

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Makita, H. (2012). Time Resolved Absorption Spectroscopy for the Study of Electron Transfer Processes in Photosynthetic Systems. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/phy_astr_theses/16

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):

Makita, Hiroki. “Time Resolved Absorption Spectroscopy for the Study of Electron Transfer Processes in Photosynthetic Systems.” 2012. Thesis, Georgia State University. Accessed September 28, 2020. https://scholarworks.gsu.edu/phy_astr_theses/16.

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

MLA Handbook (7th Edition):

Makita, Hiroki. “Time Resolved Absorption Spectroscopy for the Study of Electron Transfer Processes in Photosynthetic Systems.” 2012. Web. 28 Sep 2020.

Vancouver:

Makita H. Time Resolved Absorption Spectroscopy for the Study of Electron Transfer Processes in Photosynthetic Systems. [Internet] [Thesis]. Georgia State University; 2012. [cited 2020 Sep 28]. Available from: https://scholarworks.gsu.edu/phy_astr_theses/16.

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

Council of Science Editors:

Makita H. Time Resolved Absorption Spectroscopy for the Study of Electron Transfer Processes in Photosynthetic Systems. [Thesis]. Georgia State University; 2012. Available from: https://scholarworks.gsu.edu/phy_astr_theses/16

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


Georgia State University

19. Barnett, William Halbert. Duty Cycle Maintenance in an Artificial Neuron.

Degree: MS, Physics and Astronomy, 2009, Georgia State University

 Neuroprosthetics is at the intersection of neuroscience, biomedical engineering, and physics. A biocompatible neuroprosthesis contains artificial neurons exhibiting biophysically plausible dynamics. Hybrid systems analysis could… (more)

Subjects/Keywords: Hybrid systems; Real time systems; Hodgkin huxley; Neuronal dynamics; Electrophysiology; Dynamic clamp; Medicinal leech; Central pattern generator; Half center oscillator; Heartbeat; Bifurcation theory; Astrophysics and Astronomy; Physics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Barnett, W. H. (2009). Duty Cycle Maintenance in an Artificial Neuron. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/phy_astr_theses/7

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):

Barnett, William Halbert. “Duty Cycle Maintenance in an Artificial Neuron.” 2009. Thesis, Georgia State University. Accessed September 28, 2020. https://scholarworks.gsu.edu/phy_astr_theses/7.

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

MLA Handbook (7th Edition):

Barnett, William Halbert. “Duty Cycle Maintenance in an Artificial Neuron.” 2009. Web. 28 Sep 2020.

Vancouver:

Barnett WH. Duty Cycle Maintenance in an Artificial Neuron. [Internet] [Thesis]. Georgia State University; 2009. [cited 2020 Sep 28]. Available from: https://scholarworks.gsu.edu/phy_astr_theses/7.

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

Council of Science Editors:

Barnett WH. Duty Cycle Maintenance in an Artificial Neuron. [Thesis]. Georgia State University; 2009. Available from: https://scholarworks.gsu.edu/phy_astr_theses/7

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


Georgia State University

20. 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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

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 September 28, 2020. 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. 28 Sep 2020.

Vancouver:

Brooks MB. Multistability in Bursting Patterns in a Model of a Multifunctional Central Pattern Generator. [Internet] [Thesis]. Georgia State University; 2009. [cited 2020 Sep 28]. 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

.