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You searched for subject:(neuron modeling). Showing records 1 – 25 of 25 total matches.

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University of Southern California

1. Lu, Ude. Nonlinear dynamical modeling of single neurons and its application to analysis of long-term potentiation (LTP).

Degree: PhD, Biomedical Engineering, 2011, University of Southern California

Neuron spike-train to spike-train temporal transformation is very important to the functions of neurons. Neurons receive presynaptic (input) spike-trains and transform them into postsynaptic (output)… (more)

Subjects/Keywords: nonparametric modeling; Volterra kernels; neuron; neuron modeling; neural network; electrophysiology; whole-cell patch-clamp; long-term potentiation

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APA (6th Edition):

Lu, U. (2011). Nonlinear dynamical modeling of single neurons and its application to analysis of long-term potentiation (LTP). (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/613625/rec/4441

Chicago Manual of Style (16th Edition):

Lu, Ude. “Nonlinear dynamical modeling of single neurons and its application to analysis of long-term potentiation (LTP).” 2011. Doctoral Dissertation, University of Southern California. Accessed January 24, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/613625/rec/4441.

MLA Handbook (7th Edition):

Lu, Ude. “Nonlinear dynamical modeling of single neurons and its application to analysis of long-term potentiation (LTP).” 2011. Web. 24 Jan 2020.

Vancouver:

Lu U. Nonlinear dynamical modeling of single neurons and its application to analysis of long-term potentiation (LTP). [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Jan 24]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/613625/rec/4441.

Council of Science Editors:

Lu U. Nonlinear dynamical modeling of single neurons and its application to analysis of long-term potentiation (LTP). [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/613625/rec/4441


University of Alberta

2. Kim, Hojeong. Biophysics underlying bistable neurons with branching dendrites.

Degree: PhD, 2011, University of Alberta

 The goal of this thesis is to investigate the biophysical basis underlying the nonlinear relationship between firing response and current stimulation in single motor neurons.… (more)

Subjects/Keywords: Dendrites; Neuron; Direction dependent voltage attenuation; Reduced modeling; Bistable firing behaviour

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APA (6th Edition):

Kim, H. (2011). Biophysics underlying bistable neurons with branching dendrites. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/fq977w125

Chicago Manual of Style (16th Edition):

Kim, Hojeong. “Biophysics underlying bistable neurons with branching dendrites.” 2011. Doctoral Dissertation, University of Alberta. Accessed January 24, 2020. https://era.library.ualberta.ca/files/fq977w125.

MLA Handbook (7th Edition):

Kim, Hojeong. “Biophysics underlying bistable neurons with branching dendrites.” 2011. Web. 24 Jan 2020.

Vancouver:

Kim H. Biophysics underlying bistable neurons with branching dendrites. [Internet] [Doctoral dissertation]. University of Alberta; 2011. [cited 2020 Jan 24]. Available from: https://era.library.ualberta.ca/files/fq977w125.

Council of Science Editors:

Kim H. Biophysics underlying bistable neurons with branching dendrites. [Doctoral Dissertation]. University of Alberta; 2011. Available from: https://era.library.ualberta.ca/files/fq977w125


Universitat Pompeu Fabra

3. Manubens-Gil, Linus, 1989-. Computationl and modeling approaches to multi-scale anatomical description of neuronal circuitry.

Degree: Departament de Ciències Experimentals i de la Salut, 2018, Universitat Pompeu Fabra

 Durant l’últim segle, el sistema nerviós s’ha estudiat des d’un punt de vista reduccionista, basant-se en la hipòtesi que entendre en profunditat neurones individuals o… (more)

Subjects/Keywords: Neuron; Network; Morphology; Dendrite; Modeling; Neurona; Xarxa; Morfologia; Dendrita; Model; 616.8

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APA (6th Edition):

Manubens-Gil, Linus, 1. (2018). Computationl and modeling approaches to multi-scale anatomical description of neuronal circuitry. (Thesis). Universitat Pompeu Fabra. Retrieved from http://hdl.handle.net/10803/664511

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):

Manubens-Gil, Linus, 1989-. “Computationl and modeling approaches to multi-scale anatomical description of neuronal circuitry.” 2018. Thesis, Universitat Pompeu Fabra. Accessed January 24, 2020. http://hdl.handle.net/10803/664511.

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

MLA Handbook (7th Edition):

Manubens-Gil, Linus, 1989-. “Computationl and modeling approaches to multi-scale anatomical description of neuronal circuitry.” 2018. Web. 24 Jan 2020.

Vancouver:

Manubens-Gil, Linus 1. Computationl and modeling approaches to multi-scale anatomical description of neuronal circuitry. [Internet] [Thesis]. Universitat Pompeu Fabra; 2018. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/10803/664511.

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

Council of Science Editors:

Manubens-Gil, Linus 1. Computationl and modeling approaches to multi-scale anatomical description of neuronal circuitry. [Thesis]. Universitat Pompeu Fabra; 2018. Available from: http://hdl.handle.net/10803/664511

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

4. Vieira, Diogo Porfirio de Castro. Análises de estabilidade e de sensibilidade de modelos biologicamente plausíveis do córtex visual primário.

Degree: Mestrado, Física Aplicada à Medicina e Biologia, 2008, University of São Paulo

A neurociência computacional é uma vasta área que tem como objeto de estudo o entendimento ou a emulação da dinâmica cerebral em diversos níveis. Neste… (more)

Subjects/Keywords: Computational Neuroscience; Córtex Visual Primário; Dynamical Systems; Modelagem de Neurônios Individuais; Neurociência Computacional; Primary Visual Cortex; Single- Neuron Modeling; Sistemas Dinâmicos

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APA (6th Edition):

Vieira, D. P. d. C. (2008). Análises de estabilidade e de sensibilidade de modelos biologicamente plausíveis do córtex visual primário. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/59/59135/tde-18032009-163830/ ;

Chicago Manual of Style (16th Edition):

Vieira, Diogo Porfirio de Castro. “Análises de estabilidade e de sensibilidade de modelos biologicamente plausíveis do córtex visual primário.” 2008. Masters Thesis, University of São Paulo. Accessed January 24, 2020. http://www.teses.usp.br/teses/disponiveis/59/59135/tde-18032009-163830/ ;.

MLA Handbook (7th Edition):

Vieira, Diogo Porfirio de Castro. “Análises de estabilidade e de sensibilidade de modelos biologicamente plausíveis do córtex visual primário.” 2008. Web. 24 Jan 2020.

Vancouver:

Vieira DPdC. Análises de estabilidade e de sensibilidade de modelos biologicamente plausíveis do córtex visual primário. [Internet] [Masters thesis]. University of São Paulo; 2008. [cited 2020 Jan 24]. Available from: http://www.teses.usp.br/teses/disponiveis/59/59135/tde-18032009-163830/ ;.

Council of Science Editors:

Vieira DPdC. Análises de estabilidade e de sensibilidade de modelos biologicamente plausíveis do córtex visual primário. [Masters Thesis]. University of São Paulo; 2008. Available from: http://www.teses.usp.br/teses/disponiveis/59/59135/tde-18032009-163830/ ;


Texas Medical Center

5. Chen, Yi Chun. ROLE OF THE GCN5 HISTONE ACETYLTRANSFERASE IN SPINOCEREBELLAR ATAXIA TYPE 7 AND IN IMMATURE NEURONS.

Degree: PhD, 2011, Texas Medical Center

  Spinocerebellar Ataxia type 7 (SCA7) is a neurodegenerative disease caused by expansion of a CAG repeat encoding a polyglutamine tract in ATXN7, a component… (more)

Subjects/Keywords: SCA7; Gcn5; histone; neuron; neurodegeneration; Disease Modeling; Medicine and Health Sciences; Molecular Genetics; Nervous System Diseases

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APA (6th Edition):

Chen, Y. C. (2011). ROLE OF THE GCN5 HISTONE ACETYLTRANSFERASE IN SPINOCEREBELLAR ATAXIA TYPE 7 AND IN IMMATURE NEURONS. (Doctoral Dissertation). Texas Medical Center. Retrieved from http://digitalcommons.library.tmc.edu/utgsbs_dissertations/208

Chicago Manual of Style (16th Edition):

Chen, Yi Chun. “ROLE OF THE GCN5 HISTONE ACETYLTRANSFERASE IN SPINOCEREBELLAR ATAXIA TYPE 7 AND IN IMMATURE NEURONS.” 2011. Doctoral Dissertation, Texas Medical Center. Accessed January 24, 2020. http://digitalcommons.library.tmc.edu/utgsbs_dissertations/208.

MLA Handbook (7th Edition):

Chen, Yi Chun. “ROLE OF THE GCN5 HISTONE ACETYLTRANSFERASE IN SPINOCEREBELLAR ATAXIA TYPE 7 AND IN IMMATURE NEURONS.” 2011. Web. 24 Jan 2020.

Vancouver:

Chen YC. ROLE OF THE GCN5 HISTONE ACETYLTRANSFERASE IN SPINOCEREBELLAR ATAXIA TYPE 7 AND IN IMMATURE NEURONS. [Internet] [Doctoral dissertation]. Texas Medical Center; 2011. [cited 2020 Jan 24]. Available from: http://digitalcommons.library.tmc.edu/utgsbs_dissertations/208.

Council of Science Editors:

Chen YC. ROLE OF THE GCN5 HISTONE ACETYLTRANSFERASE IN SPINOCEREBELLAR ATAXIA TYPE 7 AND IN IMMATURE NEURONS. [Doctoral Dissertation]. Texas Medical Center; 2011. Available from: http://digitalcommons.library.tmc.edu/utgsbs_dissertations/208


University of Florida

6. Ratnadu, Shivakeshavan. Influence of Synaptic Changes on Synchronization in Neuronal Networks.

Degree: PhD, Biomedical Engineering, 2014, University of Florida

 Neuronal synchronization, the coordinated interaction of neurons, is implicated in many neurological functions. In various areas of the brain such as the cortical regions and… (more)

Subjects/Keywords: Animal models; Epilepsy; Interneurons; Modeling; Neurons; Parametric models; Pyramidal cells; Simulations; Sprouting; Synapses; epilepsy  – gamma  – networks  – neuron  – neuronal  – plasticity  – synapse  – synchronization

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APA (6th Edition):

Ratnadu, S. (2014). Influence of Synaptic Changes on Synchronization in Neuronal Networks. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046986

Chicago Manual of Style (16th Edition):

Ratnadu, Shivakeshavan. “Influence of Synaptic Changes on Synchronization in Neuronal Networks.” 2014. Doctoral Dissertation, University of Florida. Accessed January 24, 2020. http://ufdc.ufl.edu/UFE0046986.

MLA Handbook (7th Edition):

Ratnadu, Shivakeshavan. “Influence of Synaptic Changes on Synchronization in Neuronal Networks.” 2014. Web. 24 Jan 2020.

Vancouver:

Ratnadu S. Influence of Synaptic Changes on Synchronization in Neuronal Networks. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2020 Jan 24]. Available from: http://ufdc.ufl.edu/UFE0046986.

Council of Science Editors:

Ratnadu S. Influence of Synaptic Changes on Synchronization in Neuronal Networks. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0046986


University of Florida

7. Fisher, Nicholas. A Kernel Approach to Learning a Neuron Model from Spike Train Data.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2010, University of Florida

 A spiking neuron is a principal component of the brain and the nervous system. Understanding the characteristics of a single neuron as well as the… (more)

Subjects/Keywords: Approximation; Cell membranes; Histograms; Hyperplanes; Ions; Learning; Membrane potential; Modeling; Neurons; Synapses; classification, data, kernel, model, neuron, spike, spiking, time, train

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APA (6th Edition):

Fisher, N. (2010). A Kernel Approach to Learning a Neuron Model from Spike Train Data. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042012

Chicago Manual of Style (16th Edition):

Fisher, Nicholas. “A Kernel Approach to Learning a Neuron Model from Spike Train Data.” 2010. Doctoral Dissertation, University of Florida. Accessed January 24, 2020. http://ufdc.ufl.edu/UFE0042012.

MLA Handbook (7th Edition):

Fisher, Nicholas. “A Kernel Approach to Learning a Neuron Model from Spike Train Data.” 2010. Web. 24 Jan 2020.

Vancouver:

Fisher N. A Kernel Approach to Learning a Neuron Model from Spike Train Data. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2020 Jan 24]. Available from: http://ufdc.ufl.edu/UFE0042012.

Council of Science Editors:

Fisher N. A Kernel Approach to Learning a Neuron Model from Spike Train Data. [Doctoral Dissertation]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0042012


Université Montpellier II

8. Michel, Christophe. Modélisation mathématique de l'activité électrophysiologique des neurones auditifs primaires : Mathematical modeling of primary auditory neurons electrophysiological activity.

Degree: Docteur es, Biologie Santé, 2012, Université Montpellier II

En réponse à une stimulation sonore, la cellule ciliée interne libère du glutamate qui va activer des récepteurs distribués sur le bouton post-synaptique. Les courants… (more)

Subjects/Keywords: Modélisation mathématique; Neurone auditif; Stimulation électrique; Cochlée; Visée thérapeutique; Mathematical modeling; Auditory neuron; Electric stimulation; Cochlea; Referred therapeutically

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APA (6th Edition):

Michel, C. (2012). Modélisation mathématique de l'activité électrophysiologique des neurones auditifs primaires : Mathematical modeling of primary auditory neurons electrophysiological activity. (Doctoral Dissertation). Université Montpellier II. Retrieved from http://www.theses.fr/2012MON20094

Chicago Manual of Style (16th Edition):

Michel, Christophe. “Modélisation mathématique de l'activité électrophysiologique des neurones auditifs primaires : Mathematical modeling of primary auditory neurons electrophysiological activity.” 2012. Doctoral Dissertation, Université Montpellier II. Accessed January 24, 2020. http://www.theses.fr/2012MON20094.

MLA Handbook (7th Edition):

Michel, Christophe. “Modélisation mathématique de l'activité électrophysiologique des neurones auditifs primaires : Mathematical modeling of primary auditory neurons electrophysiological activity.” 2012. Web. 24 Jan 2020.

Vancouver:

Michel C. Modélisation mathématique de l'activité électrophysiologique des neurones auditifs primaires : Mathematical modeling of primary auditory neurons electrophysiological activity. [Internet] [Doctoral dissertation]. Université Montpellier II; 2012. [cited 2020 Jan 24]. Available from: http://www.theses.fr/2012MON20094.

Council of Science Editors:

Michel C. Modélisation mathématique de l'activité électrophysiologique des neurones auditifs primaires : Mathematical modeling of primary auditory neurons electrophysiological activity. [Doctoral Dissertation]. Université Montpellier II; 2012. Available from: http://www.theses.fr/2012MON20094


Georgia Tech

9. Purvis, Liston Keith. Models of Single Neurons and Network Dynamics in the Medullary Transverse Slice.

Degree: PhD, Electrical and Computer Engineering, 2006, Georgia Tech

 The pre-Botzinger complex (pBC) is a sub-circuit of the respiratory central pattern generator. The pBC is required for eupnea and is contained in a transverse… (more)

Subjects/Keywords: Neuron model; Computational modeling; Respiration; Breathing; Silicon diodes

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APA (6th Edition):

Purvis, L. K. (2006). Models of Single Neurons and Network Dynamics in the Medullary Transverse Slice. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/14125

Chicago Manual of Style (16th Edition):

Purvis, Liston Keith. “Models of Single Neurons and Network Dynamics in the Medullary Transverse Slice.” 2006. Doctoral Dissertation, Georgia Tech. Accessed January 24, 2020. http://hdl.handle.net/1853/14125.

MLA Handbook (7th Edition):

Purvis, Liston Keith. “Models of Single Neurons and Network Dynamics in the Medullary Transverse Slice.” 2006. Web. 24 Jan 2020.

Vancouver:

Purvis LK. Models of Single Neurons and Network Dynamics in the Medullary Transverse Slice. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/1853/14125.

Council of Science Editors:

Purvis LK. Models of Single Neurons and Network Dynamics in the Medullary Transverse Slice. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/14125


University of Florida

10. Sloan, Jinnie. Identification of Neurosecretory Molecules in Aplysia Californica and Related Molluscs Genomic Approaches.

Degree: MS, Medical Sciences - Medicine, 2009, University of Florida

 ABSTRACT OF THESIS PRESENTED TO THE GRADUATE SCHOOL OF THE UNIVERSITY OF FLORIDA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF… (more)

Subjects/Keywords: Complementary DNA; Exons; Gene banks; Generally accepted auditing standards; Genomics; Modeling; Molecules; Neurons; Neuropeptides; Signals; aplysia, bioinformatic, genomic, in, invertebrate, learning, memory, mollusc, neuron, neuropeptide

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APA (6th Edition):

Sloan, J. (2009). Identification of Neurosecretory Molecules in Aplysia Californica and Related Molluscs Genomic Approaches. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0025077

Chicago Manual of Style (16th Edition):

Sloan, Jinnie. “Identification of Neurosecretory Molecules in Aplysia Californica and Related Molluscs Genomic Approaches.” 2009. Masters Thesis, University of Florida. Accessed January 24, 2020. http://ufdc.ufl.edu/UFE0025077.

MLA Handbook (7th Edition):

Sloan, Jinnie. “Identification of Neurosecretory Molecules in Aplysia Californica and Related Molluscs Genomic Approaches.” 2009. Web. 24 Jan 2020.

Vancouver:

Sloan J. Identification of Neurosecretory Molecules in Aplysia Californica and Related Molluscs Genomic Approaches. [Internet] [Masters thesis]. University of Florida; 2009. [cited 2020 Jan 24]. Available from: http://ufdc.ufl.edu/UFE0025077.

Council of Science Editors:

Sloan J. Identification of Neurosecretory Molecules in Aplysia Californica and Related Molluscs Genomic Approaches. [Masters Thesis]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0025077


The Ohio State University

11. Johnson, Travis Steele. Estimation of Neural Cell types in the Allen Human Brain Atlas using Murine-derived Expression Profiles.

Degree: MS, Public Health, 2016, The Ohio State University

 Spatial patterns of gene expression in brain tissue have been observed in both human and more thoroughly in mouse. Because of the increased complexity and… (more)

Subjects/Keywords: Biomedical Research; Deconvolution, Cross-species, RNA-Seq, Microarray, Expression profiles, Brain structure, Neuron, Mouse brain, Human brain, Neural cell types, Linear modeling

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APA (6th Edition):

Johnson, T. S. (2016). Estimation of Neural Cell types in the Allen Human Brain Atlas using Murine-derived Expression Profiles. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1461243036

Chicago Manual of Style (16th Edition):

Johnson, Travis Steele. “Estimation of Neural Cell types in the Allen Human Brain Atlas using Murine-derived Expression Profiles.” 2016. Masters Thesis, The Ohio State University. Accessed January 24, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1461243036.

MLA Handbook (7th Edition):

Johnson, Travis Steele. “Estimation of Neural Cell types in the Allen Human Brain Atlas using Murine-derived Expression Profiles.” 2016. Web. 24 Jan 2020.

Vancouver:

Johnson TS. Estimation of Neural Cell types in the Allen Human Brain Atlas using Murine-derived Expression Profiles. [Internet] [Masters thesis]. The Ohio State University; 2016. [cited 2020 Jan 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1461243036.

Council of Science Editors:

Johnson TS. Estimation of Neural Cell types in the Allen Human Brain Atlas using Murine-derived Expression Profiles. [Masters Thesis]. The Ohio State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1461243036


University of Louisville

12. Kirigeeganage, Saliya Kumara. Modeling and simulation methodologies for spinal cord stimulation.

Degree: PhD, 2018, University of Louisville

  The use of neural prostheses to improve health of paraplegics has been a prime interest of neuroscientists over the last few decades. Scientists have… (more)

Subjects/Keywords: neuron; simulation; genetic algorithm; spinal cord stimulation; pulse position optimization; electric field modeling; Bioelectrical and Neuroengineering; Biomedical; Controls and Control Theory; Other Computer Engineering

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APA (6th Edition):

Kirigeeganage, S. K. (2018). Modeling and simulation methodologies for spinal cord stimulation. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/3085 ; https://ir.library.louisville.edu/etd/3085

Chicago Manual of Style (16th Edition):

Kirigeeganage, Saliya Kumara. “Modeling and simulation methodologies for spinal cord stimulation.” 2018. Doctoral Dissertation, University of Louisville. Accessed January 24, 2020. 10.18297/etd/3085 ; https://ir.library.louisville.edu/etd/3085.

MLA Handbook (7th Edition):

Kirigeeganage, Saliya Kumara. “Modeling and simulation methodologies for spinal cord stimulation.” 2018. Web. 24 Jan 2020.

Vancouver:

Kirigeeganage SK. Modeling and simulation methodologies for spinal cord stimulation. [Internet] [Doctoral dissertation]. University of Louisville; 2018. [cited 2020 Jan 24]. Available from: 10.18297/etd/3085 ; https://ir.library.louisville.edu/etd/3085.

Council of Science Editors:

Kirigeeganage SK. Modeling and simulation methodologies for spinal cord stimulation. [Doctoral Dissertation]. University of Louisville; 2018. Available from: 10.18297/etd/3085 ; https://ir.library.louisville.edu/etd/3085


Université de Bordeaux I

13. Buhry, Laure. Estimation de paramètres de modèles de neurones biologiques sur une plate-forme de SNN (Spiking Neural Network) implantés "insilico" : Contribution to space-time adaptive processing based on multichannel autoregressive modelling of interferences to improve small and slow target’s detection in non homogenous Gaussian and non-Gaussian clutter.

Degree: Docteur es, Electronique, 2010, Université de Bordeaux I

Ces travaux de thèse, réalisés dans une équipe concevant des circuits analogiques neuromimétiques suivant le modèle d’Hodgkin-Huxley, concernent la modélisation de neurones biologiques, plus précisément,… (more)

Subjects/Keywords: Modélisation de neurone biologique; Estimation de paramètres; Optimisation; Métaheuristiques; Circuits neuromimétiques; Réseaux de neurones.; Spiking neural networks; Biological neuron modeling; Parameter estimation; Optimization; Metaheuristics; Neuromimetic integrated circuits

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APA (6th Edition):

Buhry, L. (2010). Estimation de paramètres de modèles de neurones biologiques sur une plate-forme de SNN (Spiking Neural Network) implantés "insilico" : Contribution to space-time adaptive processing based on multichannel autoregressive modelling of interferences to improve small and slow target’s detection in non homogenous Gaussian and non-Gaussian clutter. (Doctoral Dissertation). Université de Bordeaux I. Retrieved from http://www.theses.fr/2010BOR14057

Chicago Manual of Style (16th Edition):

Buhry, Laure. “Estimation de paramètres de modèles de neurones biologiques sur une plate-forme de SNN (Spiking Neural Network) implantés "insilico" : Contribution to space-time adaptive processing based on multichannel autoregressive modelling of interferences to improve small and slow target’s detection in non homogenous Gaussian and non-Gaussian clutter.” 2010. Doctoral Dissertation, Université de Bordeaux I. Accessed January 24, 2020. http://www.theses.fr/2010BOR14057.

MLA Handbook (7th Edition):

Buhry, Laure. “Estimation de paramètres de modèles de neurones biologiques sur une plate-forme de SNN (Spiking Neural Network) implantés "insilico" : Contribution to space-time adaptive processing based on multichannel autoregressive modelling of interferences to improve small and slow target’s detection in non homogenous Gaussian and non-Gaussian clutter.” 2010. Web. 24 Jan 2020.

Vancouver:

Buhry L. Estimation de paramètres de modèles de neurones biologiques sur une plate-forme de SNN (Spiking Neural Network) implantés "insilico" : Contribution to space-time adaptive processing based on multichannel autoregressive modelling of interferences to improve small and slow target’s detection in non homogenous Gaussian and non-Gaussian clutter. [Internet] [Doctoral dissertation]. Université de Bordeaux I; 2010. [cited 2020 Jan 24]. Available from: http://www.theses.fr/2010BOR14057.

Council of Science Editors:

Buhry L. Estimation de paramètres de modèles de neurones biologiques sur une plate-forme de SNN (Spiking Neural Network) implantés "insilico" : Contribution to space-time adaptive processing based on multichannel autoregressive modelling of interferences to improve small and slow target’s detection in non homogenous Gaussian and non-Gaussian clutter. [Doctoral Dissertation]. Université de Bordeaux I; 2010. Available from: http://www.theses.fr/2010BOR14057

14. LIN LIN. GENERATION OF PATIENT-SPECIFIC NEURONS PROVIDES AN IN VITRO MODEL OF PARKINSON'S DISEASE TO IDENTIFY EARLY MOLECULAR FEATURES OF NEURODEGENERATION.

Degree: 2015, National University of Singapore

Subjects/Keywords: Parkinson’s disease; iPSCs; dopaminergic neuron; disease modeling; transcriptome; alternative splicing

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

APA (6th Edition):

LIN, L. (2015). GENERATION OF PATIENT-SPECIFIC NEURONS PROVIDES AN IN VITRO MODEL OF PARKINSON'S DISEASE TO IDENTIFY EARLY MOLECULAR FEATURES OF NEURODEGENERATION. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/122082

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):

LIN, LIN. “GENERATION OF PATIENT-SPECIFIC NEURONS PROVIDES AN IN VITRO MODEL OF PARKINSON'S DISEASE TO IDENTIFY EARLY MOLECULAR FEATURES OF NEURODEGENERATION.” 2015. Thesis, National University of Singapore. Accessed January 24, 2020. http://scholarbank.nus.edu.sg/handle/10635/122082.

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

MLA Handbook (7th Edition):

LIN, LIN. “GENERATION OF PATIENT-SPECIFIC NEURONS PROVIDES AN IN VITRO MODEL OF PARKINSON'S DISEASE TO IDENTIFY EARLY MOLECULAR FEATURES OF NEURODEGENERATION.” 2015. Web. 24 Jan 2020.

Vancouver:

LIN L. GENERATION OF PATIENT-SPECIFIC NEURONS PROVIDES AN IN VITRO MODEL OF PARKINSON'S DISEASE TO IDENTIFY EARLY MOLECULAR FEATURES OF NEURODEGENERATION. [Internet] [Thesis]. National University of Singapore; 2015. [cited 2020 Jan 24]. Available from: http://scholarbank.nus.edu.sg/handle/10635/122082.

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

Council of Science Editors:

LIN L. GENERATION OF PATIENT-SPECIFIC NEURONS PROVIDES AN IN VITRO MODEL OF PARKINSON'S DISEASE TO IDENTIFY EARLY MOLECULAR FEATURES OF NEURODEGENERATION. [Thesis]. National University of Singapore; 2015. Available from: http://scholarbank.nus.edu.sg/handle/10635/122082

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


Case Western Reserve University

15. Lee, Dongchul C. STRUCTURE-FUNCTION RELATIONSHIPS IN CENTRAL NERVOUS SYSTEM NEURONS ACTIVATED BY EXTRACELLULAR ELECTRIC FIELDS.

Degree: PhD, Biomedical Engineering, 2004, Case Western Reserve University

 The activation of CNS neurons may be initiated by stimulation of different neural elements including axon, dendrites, and cell body, that are exposed to an… (more)

Subjects/Keywords: Engineering, Biomedical; Deep Brain Stimulation; Computer Modeling; Central Nervous System; Electrical Stimulation; Neuron; Morphology

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APA (6th Edition):

Lee, D. C. (2004). STRUCTURE-FUNCTION RELATIONSHIPS IN CENTRAL NERVOUS SYSTEM NEURONS ACTIVATED BY EXTRACELLULAR ELECTRIC FIELDS. (Doctoral Dissertation). Case Western Reserve University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1089749205

Chicago Manual of Style (16th Edition):

Lee, Dongchul C. “STRUCTURE-FUNCTION RELATIONSHIPS IN CENTRAL NERVOUS SYSTEM NEURONS ACTIVATED BY EXTRACELLULAR ELECTRIC FIELDS.” 2004. Doctoral Dissertation, Case Western Reserve University. Accessed January 24, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1089749205.

MLA Handbook (7th Edition):

Lee, Dongchul C. “STRUCTURE-FUNCTION RELATIONSHIPS IN CENTRAL NERVOUS SYSTEM NEURONS ACTIVATED BY EXTRACELLULAR ELECTRIC FIELDS.” 2004. Web. 24 Jan 2020.

Vancouver:

Lee DC. STRUCTURE-FUNCTION RELATIONSHIPS IN CENTRAL NERVOUS SYSTEM NEURONS ACTIVATED BY EXTRACELLULAR ELECTRIC FIELDS. [Internet] [Doctoral dissertation]. Case Western Reserve University; 2004. [cited 2020 Jan 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1089749205.

Council of Science Editors:

Lee DC. STRUCTURE-FUNCTION RELATIONSHIPS IN CENTRAL NERVOUS SYSTEM NEURONS ACTIVATED BY EXTRACELLULAR ELECTRIC FIELDS. [Doctoral Dissertation]. Case Western Reserve University; 2004. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1089749205


Ohio University

16. Nadkarni, Suhita. Dynamics of Dressed Neurons: Modeling the Neural-Glial Circuit and Exploring its Normal and Pathological Implications.

Degree: PhD, Physics (Arts and Sciences), 2005, Ohio University

  It is now established that glial cells are active partners to neurons in the nervous system. Astrocytes, a subtype of glial cell, through characteristic… (more)

Subjects/Keywords: Biophysics, Medical; Astrocyte Neuron Interaction; Modeling Neural Glial Circuits; Astrocytes; Neurons; Metabotropic Glutamate Receptors

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APA (6th Edition):

Nadkarni, S. (2005). Dynamics of Dressed Neurons: Modeling the Neural-Glial Circuit and Exploring its Normal and Pathological Implications. (Doctoral Dissertation). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1125689320

Chicago Manual of Style (16th Edition):

Nadkarni, Suhita. “Dynamics of Dressed Neurons: Modeling the Neural-Glial Circuit and Exploring its Normal and Pathological Implications.” 2005. Doctoral Dissertation, Ohio University. Accessed January 24, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1125689320.

MLA Handbook (7th Edition):

Nadkarni, Suhita. “Dynamics of Dressed Neurons: Modeling the Neural-Glial Circuit and Exploring its Normal and Pathological Implications.” 2005. Web. 24 Jan 2020.

Vancouver:

Nadkarni S. Dynamics of Dressed Neurons: Modeling the Neural-Glial Circuit and Exploring its Normal and Pathological Implications. [Internet] [Doctoral dissertation]. Ohio University; 2005. [cited 2020 Jan 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1125689320.

Council of Science Editors:

Nadkarni S. Dynamics of Dressed Neurons: Modeling the Neural-Glial Circuit and Exploring its Normal and Pathological Implications. [Doctoral Dissertation]. Ohio University; 2005. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1125689320


Université du Luxembourg

17. El Assal, Diana Charles. COMPUTATIONAL PREDICTION OF BIOCHEMICAL COMPENSATORY MECHANISMS IN SUBJECTS AT RISK OF DEVELOPING PARKINSON’S DISEASE.

Degree: 2018, Université du Luxembourg

 Parkinson’s disease (PD) is characterised by the degeneration of substantia nigra pars compacta dopaminergic neurons. These neurons have a highly complex axonal arborisation and a… (more)

Subjects/Keywords: Parkinson's disease; COBRA; model; constraint-based model; modeling; mitochondria; energy metabolism; ATP; glycolysis; idiopathic; Recon; dopaminergic neuron; Life sciences :: Biochemistry, biophysics & molecular biology [F05]; Sciences du vivant :: Biochimie, biophysique & biologie moléculaire [F05]

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APA (6th Edition):

El Assal, D. C. (2018). COMPUTATIONAL PREDICTION OF BIOCHEMICAL COMPENSATORY MECHANISMS IN SUBJECTS AT RISK OF DEVELOPING PARKINSON’S DISEASE. (Doctoral Dissertation). Université du Luxembourg. Retrieved from http://orbilu.uni.lu/handle/10993/36462

Chicago Manual of Style (16th Edition):

El Assal, Diana Charles. “COMPUTATIONAL PREDICTION OF BIOCHEMICAL COMPENSATORY MECHANISMS IN SUBJECTS AT RISK OF DEVELOPING PARKINSON’S DISEASE.” 2018. Doctoral Dissertation, Université du Luxembourg. Accessed January 24, 2020. http://orbilu.uni.lu/handle/10993/36462.

MLA Handbook (7th Edition):

El Assal, Diana Charles. “COMPUTATIONAL PREDICTION OF BIOCHEMICAL COMPENSATORY MECHANISMS IN SUBJECTS AT RISK OF DEVELOPING PARKINSON’S DISEASE.” 2018. Web. 24 Jan 2020.

Vancouver:

El Assal DC. COMPUTATIONAL PREDICTION OF BIOCHEMICAL COMPENSATORY MECHANISMS IN SUBJECTS AT RISK OF DEVELOPING PARKINSON’S DISEASE. [Internet] [Doctoral dissertation]. Université du Luxembourg; 2018. [cited 2020 Jan 24]. Available from: http://orbilu.uni.lu/handle/10993/36462.

Council of Science Editors:

El Assal DC. COMPUTATIONAL PREDICTION OF BIOCHEMICAL COMPENSATORY MECHANISMS IN SUBJECTS AT RISK OF DEVELOPING PARKINSON’S DISEASE. [Doctoral Dissertation]. Université du Luxembourg; 2018. Available from: http://orbilu.uni.lu/handle/10993/36462

18. Kovalchuk, Maria. Measuring and modeling of axon membrane properties in motor neuron disorders and normal subjects.

Degree: 2019, University Utrecht

 In this thesis we present our research on two disorders of motor neurons: amyotrophic lateral sclerosis (ALS) and multifocal motor neuropathy (MMN). Amyotrophic lateral sclerosis… (more)

Subjects/Keywords: motor neuron disorders; amyotrophic lateral sclerosis; multifocal motor neuropathy; excitability; axonal membrane properties; ion channels; mathematical modeling; sodium-potassium pump

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APA (6th Edition):

Kovalchuk, M. (2019). Measuring and modeling of axon membrane properties in motor neuron disorders and normal subjects. (Doctoral Dissertation). University Utrecht. Retrieved from http://dspace.library.uu.nl/handle/1874/388059 ; URN:NBN:NL:UI:10-1874-388059 ; urn:isbn:978-5-4465-2558-4 ; URN:NBN:NL:UI:10-1874-388059 ; http://dspace.library.uu.nl/handle/1874/388059

Chicago Manual of Style (16th Edition):

Kovalchuk, Maria. “Measuring and modeling of axon membrane properties in motor neuron disorders and normal subjects.” 2019. Doctoral Dissertation, University Utrecht. Accessed January 24, 2020. http://dspace.library.uu.nl/handle/1874/388059 ; URN:NBN:NL:UI:10-1874-388059 ; urn:isbn:978-5-4465-2558-4 ; URN:NBN:NL:UI:10-1874-388059 ; http://dspace.library.uu.nl/handle/1874/388059.

MLA Handbook (7th Edition):

Kovalchuk, Maria. “Measuring and modeling of axon membrane properties in motor neuron disorders and normal subjects.” 2019. Web. 24 Jan 2020.

Vancouver:

Kovalchuk M. Measuring and modeling of axon membrane properties in motor neuron disorders and normal subjects. [Internet] [Doctoral dissertation]. University Utrecht; 2019. [cited 2020 Jan 24]. Available from: http://dspace.library.uu.nl/handle/1874/388059 ; URN:NBN:NL:UI:10-1874-388059 ; urn:isbn:978-5-4465-2558-4 ; URN:NBN:NL:UI:10-1874-388059 ; http://dspace.library.uu.nl/handle/1874/388059.

Council of Science Editors:

Kovalchuk M. Measuring and modeling of axon membrane properties in motor neuron disorders and normal subjects. [Doctoral Dissertation]. University Utrecht; 2019. Available from: http://dspace.library.uu.nl/handle/1874/388059 ; URN:NBN:NL:UI:10-1874-388059 ; urn:isbn:978-5-4465-2558-4 ; URN:NBN:NL:UI:10-1874-388059 ; http://dspace.library.uu.nl/handle/1874/388059

19. VanOsdol, Luke A. CHARACTERIZATION OF THE ROLES OF MUSCLE-SYNTHESIZED BRAIN-DERIVED NEUROTROPHIC FACTOR AND PRESYNAPTIC TYROSINE RECEPTOR KINASE B IN MOTOR NEURON AXONAL TRANSPORT.

Degree: MS, Biology, 2018, Northen Michigan University

  Brain-derived neurotrophic factor (BDNF) is a small, diffusible protein essential for the development and function of neurons. It is synthesized by many types of… (more)

Subjects/Keywords: BDNF; brain derived neurotrophic factor; motor neuron; neuromuscular disease; axonal transport; sciatic nerve ligation; skeletal muscle; TrkB; JIP3; dynactin; Cellular and Molecular Physiology; Disease Modeling; Life Sciences; Molecular and Cellular Neuroscience; Molecular Biology; Nervous System Diseases; Other Genetics and Genomics; Other Neuroscience and Neurobiology

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APA (6th Edition):

VanOsdol, L. A. (2018). CHARACTERIZATION OF THE ROLES OF MUSCLE-SYNTHESIZED BRAIN-DERIVED NEUROTROPHIC FACTOR AND PRESYNAPTIC TYROSINE RECEPTOR KINASE B IN MOTOR NEURON AXONAL TRANSPORT. (Thesis). Northen Michigan University. Retrieved from https://commons.nmu.edu/theses/543

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):

VanOsdol, Luke A. “CHARACTERIZATION OF THE ROLES OF MUSCLE-SYNTHESIZED BRAIN-DERIVED NEUROTROPHIC FACTOR AND PRESYNAPTIC TYROSINE RECEPTOR KINASE B IN MOTOR NEURON AXONAL TRANSPORT.” 2018. Thesis, Northen Michigan University. Accessed January 24, 2020. https://commons.nmu.edu/theses/543.

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

MLA Handbook (7th Edition):

VanOsdol, Luke A. “CHARACTERIZATION OF THE ROLES OF MUSCLE-SYNTHESIZED BRAIN-DERIVED NEUROTROPHIC FACTOR AND PRESYNAPTIC TYROSINE RECEPTOR KINASE B IN MOTOR NEURON AXONAL TRANSPORT.” 2018. Web. 24 Jan 2020.

Vancouver:

VanOsdol LA. CHARACTERIZATION OF THE ROLES OF MUSCLE-SYNTHESIZED BRAIN-DERIVED NEUROTROPHIC FACTOR AND PRESYNAPTIC TYROSINE RECEPTOR KINASE B IN MOTOR NEURON AXONAL TRANSPORT. [Internet] [Thesis]. Northen Michigan University; 2018. [cited 2020 Jan 24]. Available from: https://commons.nmu.edu/theses/543.

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

Council of Science Editors:

VanOsdol LA. CHARACTERIZATION OF THE ROLES OF MUSCLE-SYNTHESIZED BRAIN-DERIVED NEUROTROPHIC FACTOR AND PRESYNAPTIC TYROSINE RECEPTOR KINASE B IN MOTOR NEURON AXONAL TRANSPORT. [Thesis]. Northen Michigan University; 2018. Available from: https://commons.nmu.edu/theses/543

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


Georgia Tech

20. Shepardson, Dylan. Algorithms for inverting Hodgkin-Huxley type neuron models.

Degree: PhD, Algorithms, Combinatorics, and Optimization, 2009, Georgia Tech

 The study of neurons is of fundamental importance in biology and medicine. Neurons are the most basic unit of information processing in the nervous system… (more)

Subjects/Keywords: Inverse problems; Hodgkin-Huxley; Neuroscience; Computational neuroscience; Neuron modeling; Optimization; Parameter optimization; Algorithms; Neurons; Neurosciences

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APA (6th Edition):

Shepardson, D. (2009). Algorithms for inverting Hodgkin-Huxley type neuron models. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/31686

Chicago Manual of Style (16th Edition):

Shepardson, Dylan. “Algorithms for inverting Hodgkin-Huxley type neuron models.” 2009. Doctoral Dissertation, Georgia Tech. Accessed January 24, 2020. http://hdl.handle.net/1853/31686.

MLA Handbook (7th Edition):

Shepardson, Dylan. “Algorithms for inverting Hodgkin-Huxley type neuron models.” 2009. Web. 24 Jan 2020.

Vancouver:

Shepardson D. Algorithms for inverting Hodgkin-Huxley type neuron models. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/1853/31686.

Council of Science Editors:

Shepardson D. Algorithms for inverting Hodgkin-Huxley type neuron models. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/31686


Georgia Tech

21. Hendrickson, Eric B. Morphologically simplified conductance based neuron models: principles of construction and use in parameter optimization.

Degree: PhD, Biomedical Engineering, 2010, Georgia Tech

 The dynamics of biological neural networks are of great interest to neuroscientists and are frequently studied using conductance-based compartmental neuron models. For speed and ease… (more)

Subjects/Keywords: Ion channel kinetics; Computational modeling; Sensitivity analysis; Optimization techniques; Neuron models; Neural networks (Neurobiology); Neurosciences; Mathematical optimization; Computational neuroscience

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APA (6th Edition):

Hendrickson, E. B. (2010). Morphologically simplified conductance based neuron models: principles of construction and use in parameter optimization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/33905

Chicago Manual of Style (16th Edition):

Hendrickson, Eric B. “Morphologically simplified conductance based neuron models: principles of construction and use in parameter optimization.” 2010. Doctoral Dissertation, Georgia Tech. Accessed January 24, 2020. http://hdl.handle.net/1853/33905.

MLA Handbook (7th Edition):

Hendrickson, Eric B. “Morphologically simplified conductance based neuron models: principles of construction and use in parameter optimization.” 2010. Web. 24 Jan 2020.

Vancouver:

Hendrickson EB. Morphologically simplified conductance based neuron models: principles of construction and use in parameter optimization. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/1853/33905.

Council of Science Editors:

Hendrickson EB. Morphologically simplified conductance based neuron models: principles of construction and use in parameter optimization. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/33905

22. Goodwin, Brian Daniel. A Subject-Specific Multiscale Model of Transcranial Magnetic Stimulation.

Degree: 2014, Marquette University

 Transcranial magnetic stimulation (TMS) is a neuromodulation technique used to treat a variety of neurological disorders. While many types of neuromodulation therapy are invasive, TMS… (more)

Subjects/Keywords: computational; diffusion weighted imaging; motor cortex; neuron modeling; TMS; tractography; Bioelectrical and Neuroengineering; Biomedical Engineering and Bioengineering; Engineering

…14 Figure 4 Number of publications in TMS modeling… …95 CHAPTER 3 Figure 30 Sample Pyramidal Cell Neuron between Pial and White Matter… …Surface ..... 110 Figure 31 Use of DTI for Anisotropic Conductivity and Neuron Axon… …117 Figure 36 Sample Neuron Response… …stimulus vector array of all neurons within a population Threshold stimulus of a neuron Cut-off… 

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APA (6th Edition):

Goodwin, B. D. (2014). A Subject-Specific Multiscale Model of Transcranial Magnetic Stimulation. (Thesis). Marquette University. Retrieved from https://epublications.marquette.edu/dissertations_mu/410

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):

Goodwin, Brian Daniel. “A Subject-Specific Multiscale Model of Transcranial Magnetic Stimulation.” 2014. Thesis, Marquette University. Accessed January 24, 2020. https://epublications.marquette.edu/dissertations_mu/410.

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

MLA Handbook (7th Edition):

Goodwin, Brian Daniel. “A Subject-Specific Multiscale Model of Transcranial Magnetic Stimulation.” 2014. Web. 24 Jan 2020.

Vancouver:

Goodwin BD. A Subject-Specific Multiscale Model of Transcranial Magnetic Stimulation. [Internet] [Thesis]. Marquette University; 2014. [cited 2020 Jan 24]. Available from: https://epublications.marquette.edu/dissertations_mu/410.

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

Council of Science Editors:

Goodwin BD. A Subject-Specific Multiscale Model of Transcranial Magnetic Stimulation. [Thesis]. Marquette University; 2014. Available from: https://epublications.marquette.edu/dissertations_mu/410

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

23. Lin, Risa J. Real-time methods in neural electrophysiology to improve efficacy of dynamic clamp.

Degree: PhD, Biomedical Engineering, 2012, Georgia Tech

 In the central nervous system, most of the processes ranging from ion channels to neuronal networks occur in a closed loop, where the input to… (more)

Subjects/Keywords: Computational neuroscience; Dynamic clamp; Neuron modeling; Electrophysiology; Computational neuroscience; Mathematical models; Real-time data processing; Kalman filtering

…34 Comparison of spike shapes for neuron models used to evaluate the unscented Kalman… …clamp combines mathematical modeling with electrophysiology experiments, it inherits the… …modeling approach for studying synaptic integration, a software platform for implementing… …based techniques for online state and parameter estimation of neuron models. x CHAPTER I… …clamp combines mathematical modeling with electrophysiology experiments, it inherits the… 

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APA (6th Edition):

Lin, R. J. (2012). Real-time methods in neural electrophysiology to improve efficacy of dynamic clamp. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/49016

Chicago Manual of Style (16th Edition):

Lin, Risa J. “Real-time methods in neural electrophysiology to improve efficacy of dynamic clamp.” 2012. Doctoral Dissertation, Georgia Tech. Accessed January 24, 2020. http://hdl.handle.net/1853/49016.

MLA Handbook (7th Edition):

Lin, Risa J. “Real-time methods in neural electrophysiology to improve efficacy of dynamic clamp.” 2012. Web. 24 Jan 2020.

Vancouver:

Lin RJ. Real-time methods in neural electrophysiology to improve efficacy of dynamic clamp. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/1853/49016.

Council of Science Editors:

Lin RJ. Real-time methods in neural electrophysiology to improve efficacy of dynamic clamp. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/49016


Georgia Tech

24. Tsao, Tzu-Hsin B. From molecular pathways to neural populations: investigations of different levels of networks in the transverse slice respiratory neural circuitry.

Degree: PhD, Biomedical Engineering, 2010, Georgia Tech

 By exploiting the concept of emergent network properties and the hierarchical nature of networks, we have constructed several levels of models facilitating the investigations of… (more)

Subjects/Keywords: Computational neurophysiology; Computational neuroscience; Simulation techniques; Neuron modeling; Second-passenger pathway modeling; Neuromodulation; Respiratory control; pacemakers; Small-world topology; CAN-pacemaker; Non-linear bifurcation analysis; Calcium-activated Cationic Current (CAN curr); NAP-pacemaker; Neurons

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APA (6th Edition):

Tsao, T. B. (2010). From molecular pathways to neural populations: investigations of different levels of networks in the transverse slice respiratory neural circuitry. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/37296

Chicago Manual of Style (16th Edition):

Tsao, Tzu-Hsin B. “From molecular pathways to neural populations: investigations of different levels of networks in the transverse slice respiratory neural circuitry.” 2010. Doctoral Dissertation, Georgia Tech. Accessed January 24, 2020. http://hdl.handle.net/1853/37296.

MLA Handbook (7th Edition):

Tsao, Tzu-Hsin B. “From molecular pathways to neural populations: investigations of different levels of networks in the transverse slice respiratory neural circuitry.” 2010. Web. 24 Jan 2020.

Vancouver:

Tsao TB. From molecular pathways to neural populations: investigations of different levels of networks in the transverse slice respiratory neural circuitry. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/1853/37296.

Council of Science Editors:

Tsao TB. From molecular pathways to neural populations: investigations of different levels of networks in the transverse slice respiratory neural circuitry. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/37296


University of Central Florida

25. Thakore, Vaibhav. Nonlinear Dynamic Modeling, Simulation And Characterization Of The Mesoscale Neuron-electrode Interface.

Degree: 2012, University of Central Florida

 Extracellular neuroelectronic interfacing has important applications in the fields of neural prosthetics, biological computation and whole-cell biosensing for drug screening and toxin detection. While the… (more)

Subjects/Keywords: Whole cell biosensors; cell sensor interface; neuron electrode interface; neuroelectronic interfacing; microelectrode arrays; meas; field effect transistor (fet) arrays; limitations of equivalent circuit models; volterra wiener modeling; nonlinear dynamic modeling; nonlinear impedance spectroscopy; lattice boltzmann method; lattice poisson boltzmann method; multiphysics solver; entrance flow problem; surface chemical reaction; electroosmotic flow; ionic electrodiffusion; molecular speed dependent relaxation time; primitive model of electrolyte; charge relaxation dynamics; electrolytic nanocapacitor; effect of nanoscale confinement; overlapping electric double layers; electric double layer relaxation; transient charging dynamics of an electrolytic capacitor; anomalous plasma like collective oscillations; viscous drag force on ions in a solvent; synergistic modeling of the cell sensor interface; Physics; Dissertations, Academic  – Sciences, Sciences  – Dissertations, Academic

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APA (6th Edition):

Thakore, V. (2012). Nonlinear Dynamic Modeling, Simulation And Characterization Of The Mesoscale Neuron-electrode Interface. (Doctoral Dissertation). University of Central Florida. Retrieved from https://stars.library.ucf.edu/etd/2465

Chicago Manual of Style (16th Edition):

Thakore, Vaibhav. “Nonlinear Dynamic Modeling, Simulation And Characterization Of The Mesoscale Neuron-electrode Interface.” 2012. Doctoral Dissertation, University of Central Florida. Accessed January 24, 2020. https://stars.library.ucf.edu/etd/2465.

MLA Handbook (7th Edition):

Thakore, Vaibhav. “Nonlinear Dynamic Modeling, Simulation And Characterization Of The Mesoscale Neuron-electrode Interface.” 2012. Web. 24 Jan 2020.

Vancouver:

Thakore V. Nonlinear Dynamic Modeling, Simulation And Characterization Of The Mesoscale Neuron-electrode Interface. [Internet] [Doctoral dissertation]. University of Central Florida; 2012. [cited 2020 Jan 24]. Available from: https://stars.library.ucf.edu/etd/2465.

Council of Science Editors:

Thakore V. Nonlinear Dynamic Modeling, Simulation And Characterization Of The Mesoscale Neuron-electrode Interface. [Doctoral Dissertation]. University of Central Florida; 2012. Available from: https://stars.library.ucf.edu/etd/2465

.