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You searched for subject:(Computational neuroscience). Showing records 1 – 30 of 297 total matches.

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University of Oxford

1. Stroud, Jake P. Spatio-temporal control of network activity through gain modulation in cortical circuit models.

Degree: PhD, 2018, University of Oxford

 Animals perform an extraordinary variety of movements over many different time scales. To support this diversity, the motor cortex (M1) exhibits a similarly rich repertoire… (more)

Subjects/Keywords: Computational neuroscience

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APA (6th Edition):

Stroud, J. P. (2018). Spatio-temporal control of network activity through gain modulation in cortical circuit models. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:9b1ca993-59f8-4f43-b361-5e927f88dae4 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.770437

Chicago Manual of Style (16th Edition):

Stroud, Jake P. “Spatio-temporal control of network activity through gain modulation in cortical circuit models.” 2018. Doctoral Dissertation, University of Oxford. Accessed April 03, 2020. http://ora.ox.ac.uk/objects/uuid:9b1ca993-59f8-4f43-b361-5e927f88dae4 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.770437.

MLA Handbook (7th Edition):

Stroud, Jake P. “Spatio-temporal control of network activity through gain modulation in cortical circuit models.” 2018. Web. 03 Apr 2020.

Vancouver:

Stroud JP. Spatio-temporal control of network activity through gain modulation in cortical circuit models. [Internet] [Doctoral dissertation]. University of Oxford; 2018. [cited 2020 Apr 03]. Available from: http://ora.ox.ac.uk/objects/uuid:9b1ca993-59f8-4f43-b361-5e927f88dae4 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.770437.

Council of Science Editors:

Stroud JP. Spatio-temporal control of network activity through gain modulation in cortical circuit models. [Doctoral Dissertation]. University of Oxford; 2018. Available from: http://ora.ox.ac.uk/objects/uuid:9b1ca993-59f8-4f43-b361-5e927f88dae4 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.770437


Georgia Tech

2. Zhu, Mengchen. Sparse coding models of neural response in the primary visual cortex.

Degree: PhD, Biomedical Engineering (Joint GT/Emory Department), 2015, Georgia Tech

 Sparse coding is an influential unsupervised learning approach proposed as a theoretical model of the encoding process in the primary visual cortex (V1). While sparse… (more)

Subjects/Keywords: Computational neuroscience

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APA (6th Edition):

Zhu, M. (2015). Sparse coding models of neural response in the primary visual cortex. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53868

Chicago Manual of Style (16th Edition):

Zhu, Mengchen. “Sparse coding models of neural response in the primary visual cortex.” 2015. Doctoral Dissertation, Georgia Tech. Accessed April 03, 2020. http://hdl.handle.net/1853/53868.

MLA Handbook (7th Edition):

Zhu, Mengchen. “Sparse coding models of neural response in the primary visual cortex.” 2015. Web. 03 Apr 2020.

Vancouver:

Zhu M. Sparse coding models of neural response in the primary visual cortex. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2020 Apr 03]. Available from: http://hdl.handle.net/1853/53868.

Council of Science Editors:

Zhu M. Sparse coding models of neural response in the primary visual cortex. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53868


University of Exeter

3. Woldman, Wessel. Emergent phenomena from dynamic network models : mathematical analysis of EEG from people with IGE.

Degree: PhD, 2016, University of Exeter

 In this thesis mathematical techniques and models are applied to electroencephalographic (EEG) recordings to study mechanisms of idiopathic generalised epilepsy (IGE). First, we compare network… (more)

Subjects/Keywords: 616.8; Computational neuroscience; Mathematical neuroscience

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APA (6th Edition):

Woldman, W. (2016). Emergent phenomena from dynamic network models : mathematical analysis of EEG from people with IGE. (Doctoral Dissertation). University of Exeter. Retrieved from http://hdl.handle.net/10871/23297

Chicago Manual of Style (16th Edition):

Woldman, Wessel. “Emergent phenomena from dynamic network models : mathematical analysis of EEG from people with IGE.” 2016. Doctoral Dissertation, University of Exeter. Accessed April 03, 2020. http://hdl.handle.net/10871/23297.

MLA Handbook (7th Edition):

Woldman, Wessel. “Emergent phenomena from dynamic network models : mathematical analysis of EEG from people with IGE.” 2016. Web. 03 Apr 2020.

Vancouver:

Woldman W. Emergent phenomena from dynamic network models : mathematical analysis of EEG from people with IGE. [Internet] [Doctoral dissertation]. University of Exeter; 2016. [cited 2020 Apr 03]. Available from: http://hdl.handle.net/10871/23297.

Council of Science Editors:

Woldman W. Emergent phenomena from dynamic network models : mathematical analysis of EEG from people with IGE. [Doctoral Dissertation]. University of Exeter; 2016. Available from: http://hdl.handle.net/10871/23297


University of Illinois – Chicago

4. Adwani, Mohit Haresh. Is the Brain a Discovery Network?.

Degree: 2019, University of Illinois – Chicago

 We have substantial understanding of the biophysics of neuronal responses – that is, how a neural signal is generated in the brain, how it is… (more)

Subjects/Keywords: Computational Neuroscience; Connectome; Neuroscience

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APA (6th Edition):

Adwani, M. H. (2019). Is the Brain a Discovery Network?. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/23746

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):

Adwani, Mohit Haresh. “Is the Brain a Discovery Network?.” 2019. Thesis, University of Illinois – Chicago. Accessed April 03, 2020. http://hdl.handle.net/10027/23746.

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

MLA Handbook (7th Edition):

Adwani, Mohit Haresh. “Is the Brain a Discovery Network?.” 2019. Web. 03 Apr 2020.

Vancouver:

Adwani MH. Is the Brain a Discovery Network?. [Internet] [Thesis]. University of Illinois – Chicago; 2019. [cited 2020 Apr 03]. Available from: http://hdl.handle.net/10027/23746.

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

Council of Science Editors:

Adwani MH. Is the Brain a Discovery Network?. [Thesis]. University of Illinois – Chicago; 2019. Available from: http://hdl.handle.net/10027/23746

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


Brandeis University

5. Hoyland, Alec. Differential Responses to Neuromodulation in Model Neurons of the Crustacean Stomatogastric Ganglion.

Degree: 2018, Brandeis University

 Neuronal networks must produce stable circuit output for sustained periods of time despite environmental perturbation. In addition, they must be sensitive to key endogenous signaling… (more)

Subjects/Keywords: computational; neuroscience; stg

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APA (6th Edition):

Hoyland, A. (2018). Differential Responses to Neuromodulation in Model Neurons of the Crustacean Stomatogastric Ganglion. (Thesis). Brandeis University. Retrieved from http://hdl.handle.net/10192/35686

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):

Hoyland, Alec. “Differential Responses to Neuromodulation in Model Neurons of the Crustacean Stomatogastric Ganglion.” 2018. Thesis, Brandeis University. Accessed April 03, 2020. http://hdl.handle.net/10192/35686.

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

MLA Handbook (7th Edition):

Hoyland, Alec. “Differential Responses to Neuromodulation in Model Neurons of the Crustacean Stomatogastric Ganglion.” 2018. Web. 03 Apr 2020.

Vancouver:

Hoyland A. Differential Responses to Neuromodulation in Model Neurons of the Crustacean Stomatogastric Ganglion. [Internet] [Thesis]. Brandeis University; 2018. [cited 2020 Apr 03]. Available from: http://hdl.handle.net/10192/35686.

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

Council of Science Editors:

Hoyland A. Differential Responses to Neuromodulation in Model Neurons of the Crustacean Stomatogastric Ganglion. [Thesis]. Brandeis University; 2018. Available from: http://hdl.handle.net/10192/35686

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


University of Toronto

6. Sekulic, Vladislav. Development of a Methodology for the Examination of Conductance Densities and Distributions of Hippocampal Oriens-lacunosum/moleculare Interneurons using Ensemble Modelling.

Degree: 2013, University of Toronto

The hippocampus is a brain region that is critically involved in memory formation. Stratum oriens-lacunosum/moleculare (O-LM) interneurons have been shown to modulate incoming sensory information… (more)

Subjects/Keywords: computational; neuroscience; 0719

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APA (6th Edition):

Sekulic, V. (2013). Development of a Methodology for the Examination of Conductance Densities and Distributions of Hippocampal Oriens-lacunosum/moleculare Interneurons using Ensemble Modelling. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/42913

Chicago Manual of Style (16th Edition):

Sekulic, Vladislav. “Development of a Methodology for the Examination of Conductance Densities and Distributions of Hippocampal Oriens-lacunosum/moleculare Interneurons using Ensemble Modelling.” 2013. Masters Thesis, University of Toronto. Accessed April 03, 2020. http://hdl.handle.net/1807/42913.

MLA Handbook (7th Edition):

Sekulic, Vladislav. “Development of a Methodology for the Examination of Conductance Densities and Distributions of Hippocampal Oriens-lacunosum/moleculare Interneurons using Ensemble Modelling.” 2013. Web. 03 Apr 2020.

Vancouver:

Sekulic V. Development of a Methodology for the Examination of Conductance Densities and Distributions of Hippocampal Oriens-lacunosum/moleculare Interneurons using Ensemble Modelling. [Internet] [Masters thesis]. University of Toronto; 2013. [cited 2020 Apr 03]. Available from: http://hdl.handle.net/1807/42913.

Council of Science Editors:

Sekulic V. Development of a Methodology for the Examination of Conductance Densities and Distributions of Hippocampal Oriens-lacunosum/moleculare Interneurons using Ensemble Modelling. [Masters Thesis]. University of Toronto; 2013. Available from: http://hdl.handle.net/1807/42913


McMaster University

7. Aubie, Brandon. Mechanisms and response properties of duration-tuned neurons in the vertebrate auditory midbrain.

Degree: PhD, 2012, McMaster University

This thesis aims to elucidate the mechanisms and response characteristics of neural circuits in the vertebrate brain capable of responding selectively to stimulus duration.… (more)

Subjects/Keywords: Neuroscience; Computational Neuroscience; Bats; Auditory Physiology; Computational Neuroscience; Systems Neuroscience; Computational Neuroscience

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APA (6th Edition):

Aubie, B. (2012). Mechanisms and response properties of duration-tuned neurons in the vertebrate auditory midbrain. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/12283

Chicago Manual of Style (16th Edition):

Aubie, Brandon. “Mechanisms and response properties of duration-tuned neurons in the vertebrate auditory midbrain.” 2012. Doctoral Dissertation, McMaster University. Accessed April 03, 2020. http://hdl.handle.net/11375/12283.

MLA Handbook (7th Edition):

Aubie, Brandon. “Mechanisms and response properties of duration-tuned neurons in the vertebrate auditory midbrain.” 2012. Web. 03 Apr 2020.

Vancouver:

Aubie B. Mechanisms and response properties of duration-tuned neurons in the vertebrate auditory midbrain. [Internet] [Doctoral dissertation]. McMaster University; 2012. [cited 2020 Apr 03]. Available from: http://hdl.handle.net/11375/12283.

Council of Science Editors:

Aubie B. Mechanisms and response properties of duration-tuned neurons in the vertebrate auditory midbrain. [Doctoral Dissertation]. McMaster University; 2012. Available from: http://hdl.handle.net/11375/12283


University of Oxford

8. Cicmil, Nela. Effect of reward on visual perceptual decision-making in humans and non-human primates.

Degree: PhD, 2012, University of Oxford

 When primates make decisions about sensory signals, their choices are biased by the costs and benefits associated with different possible outcomes. However, much remains unknown… (more)

Subjects/Keywords: 152.14; Computational Neuroscience; Neuroscience; Cognitive Neuroscience

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APA (6th Edition):

Cicmil, N. (2012). Effect of reward on visual perceptual decision-making in humans and non-human primates. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:0fddaf87-4250-49f8-96ff-78a46ad57a01 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.589747

Chicago Manual of Style (16th Edition):

Cicmil, Nela. “Effect of reward on visual perceptual decision-making in humans and non-human primates.” 2012. Doctoral Dissertation, University of Oxford. Accessed April 03, 2020. http://ora.ox.ac.uk/objects/uuid:0fddaf87-4250-49f8-96ff-78a46ad57a01 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.589747.

MLA Handbook (7th Edition):

Cicmil, Nela. “Effect of reward on visual perceptual decision-making in humans and non-human primates.” 2012. Web. 03 Apr 2020.

Vancouver:

Cicmil N. Effect of reward on visual perceptual decision-making in humans and non-human primates. [Internet] [Doctoral dissertation]. University of Oxford; 2012. [cited 2020 Apr 03]. Available from: http://ora.ox.ac.uk/objects/uuid:0fddaf87-4250-49f8-96ff-78a46ad57a01 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.589747.

Council of Science Editors:

Cicmil N. Effect of reward on visual perceptual decision-making in humans and non-human primates. [Doctoral Dissertation]. University of Oxford; 2012. Available from: http://ora.ox.ac.uk/objects/uuid:0fddaf87-4250-49f8-96ff-78a46ad57a01 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.589747


University of Edinburgh

9. O'Leary, Timothy S. Homeostatic regulation of intrinsic excitability in hippocampal neurons.

Degree: 2008, University of Edinburgh

 The proper functioning of nervous systems requires electrical activity to be tightly regulated. Perturbations in the intrinsic properties of neurons, and in excitatory input, are… (more)

Subjects/Keywords: 612.8; Informatics; Neuroinformatics; Computational Neuroscience; Neuroscience

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APA (6th Edition):

O'Leary, T. S. (2008). Homeostatic regulation of intrinsic excitability in hippocampal neurons. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/3079

Chicago Manual of Style (16th Edition):

O'Leary, Timothy S. “Homeostatic regulation of intrinsic excitability in hippocampal neurons.” 2008. Doctoral Dissertation, University of Edinburgh. Accessed April 03, 2020. http://hdl.handle.net/1842/3079.

MLA Handbook (7th Edition):

O'Leary, Timothy S. “Homeostatic regulation of intrinsic excitability in hippocampal neurons.” 2008. Web. 03 Apr 2020.

Vancouver:

O'Leary TS. Homeostatic regulation of intrinsic excitability in hippocampal neurons. [Internet] [Doctoral dissertation]. University of Edinburgh; 2008. [cited 2020 Apr 03]. Available from: http://hdl.handle.net/1842/3079.

Council of Science Editors:

O'Leary TS. Homeostatic regulation of intrinsic excitability in hippocampal neurons. [Doctoral Dissertation]. University of Edinburgh; 2008. Available from: http://hdl.handle.net/1842/3079


University of Oxford

10. Rabinowitz, Neil Charles. Contrast gain control in the central auditory system.

Degree: PhD, 2012, University of Oxford

 The auditory system must represent sounds with a wide range of statistical properties. One important property is the spectrotemporal contrast in the acoustic environment. The… (more)

Subjects/Keywords: 612.85; Neuroscience; Physiology; Computational Neuroscience; Mathematical biology

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APA (6th Edition):

Rabinowitz, N. C. (2012). Contrast gain control in the central auditory system. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:00860af3-f79c-495e-b1c5-6c069d2b9d64 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.558471

Chicago Manual of Style (16th Edition):

Rabinowitz, Neil Charles. “Contrast gain control in the central auditory system.” 2012. Doctoral Dissertation, University of Oxford. Accessed April 03, 2020. http://ora.ox.ac.uk/objects/uuid:00860af3-f79c-495e-b1c5-6c069d2b9d64 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.558471.

MLA Handbook (7th Edition):

Rabinowitz, Neil Charles. “Contrast gain control in the central auditory system.” 2012. Web. 03 Apr 2020.

Vancouver:

Rabinowitz NC. Contrast gain control in the central auditory system. [Internet] [Doctoral dissertation]. University of Oxford; 2012. [cited 2020 Apr 03]. Available from: http://ora.ox.ac.uk/objects/uuid:00860af3-f79c-495e-b1c5-6c069d2b9d64 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.558471.

Council of Science Editors:

Rabinowitz NC. Contrast gain control in the central auditory system. [Doctoral Dissertation]. University of Oxford; 2012. Available from: http://ora.ox.ac.uk/objects/uuid:00860af3-f79c-495e-b1c5-6c069d2b9d64 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.558471


University of Waterloo

11. Suma, Peter. Biologically Plausible Cortical Hierarchical-Classifier Circuit Extensions in Spiking Neurons.

Degree: 2018, University of Waterloo

 Hierarchical categorization inter-leaved with sequence recognition of incoming stimuli in the mammalian brain is theorized to be performed by circuits composed of the thalamus and… (more)

Subjects/Keywords: computational neuroscience; neural engineering; theoretical neuroscience

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APA (6th Edition):

Suma, P. (2018). Biologically Plausible Cortical Hierarchical-Classifier Circuit Extensions in Spiking Neurons. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/12821

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):

Suma, Peter. “Biologically Plausible Cortical Hierarchical-Classifier Circuit Extensions in Spiking Neurons.” 2018. Thesis, University of Waterloo. Accessed April 03, 2020. http://hdl.handle.net/10012/12821.

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

MLA Handbook (7th Edition):

Suma, Peter. “Biologically Plausible Cortical Hierarchical-Classifier Circuit Extensions in Spiking Neurons.” 2018. Web. 03 Apr 2020.

Vancouver:

Suma P. Biologically Plausible Cortical Hierarchical-Classifier Circuit Extensions in Spiking Neurons. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2020 Apr 03]. Available from: http://hdl.handle.net/10012/12821.

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

Council of Science Editors:

Suma P. Biologically Plausible Cortical Hierarchical-Classifier Circuit Extensions in Spiking Neurons. [Thesis]. University of Waterloo; 2018. Available from: http://hdl.handle.net/10012/12821

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


Wilfrid Laurier University

12. Bancroft, Tyler D. Scalar Short-Term Memory.

Degree: 2016, Wilfrid Laurier University

 The location of the brain’s working and short-term memory (WM/STM) “system” is unclear. The existence of a dedicated WM/STM system is itself under debate. Recently,… (more)

Subjects/Keywords: short-term memory; scalar; working memory; computational modeling; computational neuroscience; neuroscience; Computational Neuroscience

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APA (6th Edition):

Bancroft, T. D. (2016). Scalar Short-Term Memory. (Thesis). Wilfrid Laurier University. Retrieved from https://scholars.wlu.ca/etd/1825

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):

Bancroft, Tyler D. “Scalar Short-Term Memory.” 2016. Thesis, Wilfrid Laurier University. Accessed April 03, 2020. https://scholars.wlu.ca/etd/1825.

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

MLA Handbook (7th Edition):

Bancroft, Tyler D. “Scalar Short-Term Memory.” 2016. Web. 03 Apr 2020.

Vancouver:

Bancroft TD. Scalar Short-Term Memory. [Internet] [Thesis]. Wilfrid Laurier University; 2016. [cited 2020 Apr 03]. Available from: https://scholars.wlu.ca/etd/1825.

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

Council of Science Editors:

Bancroft TD. Scalar Short-Term Memory. [Thesis]. Wilfrid Laurier University; 2016. Available from: https://scholars.wlu.ca/etd/1825

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


University of Edinburgh

13. Law, Judith S. Modeling the development of organization for orientation preference in primary visual cortex.

Degree: 2009, University of Edinburgh

 The cerebral cortex of mammals comprises a series of topographic maps, forming sensory and motor areas such as those in the visual, auditory, and somatosensory… (more)

Subjects/Keywords: 612.8; computational neuroscience; vision

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APA (6th Edition):

Law, J. S. (2009). Modeling the development of organization for orientation preference in primary visual cortex. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/3935

Chicago Manual of Style (16th Edition):

Law, Judith S. “Modeling the development of organization for orientation preference in primary visual cortex.” 2009. Doctoral Dissertation, University of Edinburgh. Accessed April 03, 2020. http://hdl.handle.net/1842/3935.

MLA Handbook (7th Edition):

Law, Judith S. “Modeling the development of organization for orientation preference in primary visual cortex.” 2009. Web. 03 Apr 2020.

Vancouver:

Law JS. Modeling the development of organization for orientation preference in primary visual cortex. [Internet] [Doctoral dissertation]. University of Edinburgh; 2009. [cited 2020 Apr 03]. Available from: http://hdl.handle.net/1842/3935.

Council of Science Editors:

Law JS. Modeling the development of organization for orientation preference in primary visual cortex. [Doctoral Dissertation]. University of Edinburgh; 2009. Available from: http://hdl.handle.net/1842/3935


University of Cincinnati

14. BIDDELL, KEVIN MICHAEL. CREATION OF A BIOPHYSICAL MODEL OF A STRIATAL DORSAL LATERAL MEDIUM SPINY NEURON INCORPORATING DENDRITIC EXCITATION BY NMDA AND AMPA RECEPTOR MODELS.

Degree: PhD, Engineering : Biomedical Engineering, 2007, University of Cincinnati

 The medium spiny neurons of the ventral medial (VM) and dorsal-lateral (DL) striatum play different roles in the basal ganglia; these differences include NMDA receptor… (more)

Subjects/Keywords: computer simulation,; computational neuroscience,; biopyhsics

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APA (6th Edition):

BIDDELL, K. M. (2007). CREATION OF A BIOPHYSICAL MODEL OF A STRIATAL DORSAL LATERAL MEDIUM SPINY NEURON INCORPORATING DENDRITIC EXCITATION BY NMDA AND AMPA RECEPTOR MODELS. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1196211076

Chicago Manual of Style (16th Edition):

BIDDELL, KEVIN MICHAEL. “CREATION OF A BIOPHYSICAL MODEL OF A STRIATAL DORSAL LATERAL MEDIUM SPINY NEURON INCORPORATING DENDRITIC EXCITATION BY NMDA AND AMPA RECEPTOR MODELS.” 2007. Doctoral Dissertation, University of Cincinnati. Accessed April 03, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1196211076.

MLA Handbook (7th Edition):

BIDDELL, KEVIN MICHAEL. “CREATION OF A BIOPHYSICAL MODEL OF A STRIATAL DORSAL LATERAL MEDIUM SPINY NEURON INCORPORATING DENDRITIC EXCITATION BY NMDA AND AMPA RECEPTOR MODELS.” 2007. Web. 03 Apr 2020.

Vancouver:

BIDDELL KM. CREATION OF A BIOPHYSICAL MODEL OF A STRIATAL DORSAL LATERAL MEDIUM SPINY NEURON INCORPORATING DENDRITIC EXCITATION BY NMDA AND AMPA RECEPTOR MODELS. [Internet] [Doctoral dissertation]. University of Cincinnati; 2007. [cited 2020 Apr 03]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1196211076.

Council of Science Editors:

BIDDELL KM. CREATION OF A BIOPHYSICAL MODEL OF A STRIATAL DORSAL LATERAL MEDIUM SPINY NEURON INCORPORATING DENDRITIC EXCITATION BY NMDA AND AMPA RECEPTOR MODELS. [Doctoral Dissertation]. University of Cincinnati; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1196211076


University of Ottawa

15. Harkin, Emerson. A Simplified Serotonin Neuron Model .

Degree: 2018, University of Ottawa

At the author’s request, the abstract has been removed due to the confidential nature of the thesis. It will be added once the embargo period has passed.

Subjects/Keywords: Neuroscience; Serotonin; Electrophysiology; Computational

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

APA (6th Edition):

Harkin, E. (2018). A Simplified Serotonin Neuron Model . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/38533

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):

Harkin, Emerson. “A Simplified Serotonin Neuron Model .” 2018. Thesis, University of Ottawa. Accessed April 03, 2020. http://hdl.handle.net/10393/38533.

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

MLA Handbook (7th Edition):

Harkin, Emerson. “A Simplified Serotonin Neuron Model .” 2018. Web. 03 Apr 2020.

Vancouver:

Harkin E. A Simplified Serotonin Neuron Model . [Internet] [Thesis]. University of Ottawa; 2018. [cited 2020 Apr 03]. Available from: http://hdl.handle.net/10393/38533.

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

Council of Science Editors:

Harkin E. A Simplified Serotonin Neuron Model . [Thesis]. University of Ottawa; 2018. Available from: http://hdl.handle.net/10393/38533

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


University of Oxford

16. Overman, Margot. Modulating reward learning in healthy adults with transcranial direct current stimulation : towards a novel treatment for depression.

Degree: PhD, 2018, University of Oxford

 It has recently been proposed that deficits in reinforcement learning are a core feature of depressive disorders. This thesis aimed to investigate whether transcranial direct… (more)

Subjects/Keywords: computational psychiatry; clinical neuroscience

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APA (6th Edition):

Overman, M. (2018). Modulating reward learning in healthy adults with transcranial direct current stimulation : towards a novel treatment for depression. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:cc95bb04-8c5a-449d-8d65-657e1d5c0836 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780413

Chicago Manual of Style (16th Edition):

Overman, Margot. “Modulating reward learning in healthy adults with transcranial direct current stimulation : towards a novel treatment for depression.” 2018. Doctoral Dissertation, University of Oxford. Accessed April 03, 2020. http://ora.ox.ac.uk/objects/uuid:cc95bb04-8c5a-449d-8d65-657e1d5c0836 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780413.

MLA Handbook (7th Edition):

Overman, Margot. “Modulating reward learning in healthy adults with transcranial direct current stimulation : towards a novel treatment for depression.” 2018. Web. 03 Apr 2020.

Vancouver:

Overman M. Modulating reward learning in healthy adults with transcranial direct current stimulation : towards a novel treatment for depression. [Internet] [Doctoral dissertation]. University of Oxford; 2018. [cited 2020 Apr 03]. Available from: http://ora.ox.ac.uk/objects/uuid:cc95bb04-8c5a-449d-8d65-657e1d5c0836 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780413.

Council of Science Editors:

Overman M. Modulating reward learning in healthy adults with transcranial direct current stimulation : towards a novel treatment for depression. [Doctoral Dissertation]. University of Oxford; 2018. Available from: http://ora.ox.ac.uk/objects/uuid:cc95bb04-8c5a-449d-8d65-657e1d5c0836 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780413

17. -8322-5982. Signal transformation and noise correlation in the primate dorsal stream during sensory decision-making.

Degree: PhD, Neuroscience, 2016, University of Texas – Austin

 Neuroscientists have long sought a link between the activity of single neurons and our thoughts, perceptions and ultimately our mental experiences. As our senses provide… (more)

Subjects/Keywords: Decision-making; Computational neuroscience

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APA (6th Edition):

-8322-5982. (2016). Signal transformation and noise correlation in the primate dorsal stream during sensory decision-making. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/40300

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-8322-5982. “Signal transformation and noise correlation in the primate dorsal stream during sensory decision-making.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed April 03, 2020. http://hdl.handle.net/2152/40300.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-8322-5982. “Signal transformation and noise correlation in the primate dorsal stream during sensory decision-making.” 2016. Web. 03 Apr 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-8322-5982. Signal transformation and noise correlation in the primate dorsal stream during sensory decision-making. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2020 Apr 03]. Available from: http://hdl.handle.net/2152/40300.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-8322-5982. Signal transformation and noise correlation in the primate dorsal stream during sensory decision-making. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/40300

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


Florida Atlantic University

18. Mannino, Michael. On the Nature of Neural Causality in Large-Scale Brain Networks: Foundations, Modeling and Nonlinear Neurodynamics.

Degree: 2018, Florida Atlantic University

We examine the nature of causality as it exists within large-scale brain networks by first providing a rigorous conceptual analysis of probabilistic causality as distinct… (more)

Subjects/Keywords: Neuroinformatics; Consciousness – Research; Computational neuroscience

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APA (6th Edition):

Mannino, M. (2018). On the Nature of Neural Causality in Large-Scale Brain Networks: Foundations, Modeling and Nonlinear Neurodynamics. (Thesis). Florida Atlantic University. Retrieved from http://fau.digital.flvc.org/islandora/object/fau:40938

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):

Mannino, Michael. “On the Nature of Neural Causality in Large-Scale Brain Networks: Foundations, Modeling and Nonlinear Neurodynamics.” 2018. Thesis, Florida Atlantic University. Accessed April 03, 2020. http://fau.digital.flvc.org/islandora/object/fau:40938.

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

MLA Handbook (7th Edition):

Mannino, Michael. “On the Nature of Neural Causality in Large-Scale Brain Networks: Foundations, Modeling and Nonlinear Neurodynamics.” 2018. Web. 03 Apr 2020.

Vancouver:

Mannino M. On the Nature of Neural Causality in Large-Scale Brain Networks: Foundations, Modeling and Nonlinear Neurodynamics. [Internet] [Thesis]. Florida Atlantic University; 2018. [cited 2020 Apr 03]. Available from: http://fau.digital.flvc.org/islandora/object/fau:40938.

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

Council of Science Editors:

Mannino M. On the Nature of Neural Causality in Large-Scale Brain Networks: Foundations, Modeling and Nonlinear Neurodynamics. [Thesis]. Florida Atlantic University; 2018. Available from: http://fau.digital.flvc.org/islandora/object/fau:40938

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


McMaster University

19. Chrostowski, Michal. Cortical Plasticity and Tinnitus.

Degree: PhD, 2012, McMaster University

Tinnitus is an auditory disorder characterized by the perception of a ringing, hissing or buzzing sound with no external stimulus. Because the most common… (more)

Subjects/Keywords: auditory; cortical plasticity; tinnitus; homeostatic plasticity; hearing loss; Computational Neuroscience; Systems Neuroscience; Computational Neuroscience

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APA (6th Edition):

Chrostowski, M. (2012). Cortical Plasticity and Tinnitus. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/12585

Chicago Manual of Style (16th Edition):

Chrostowski, Michal. “Cortical Plasticity and Tinnitus.” 2012. Doctoral Dissertation, McMaster University. Accessed April 03, 2020. http://hdl.handle.net/11375/12585.

MLA Handbook (7th Edition):

Chrostowski, Michal. “Cortical Plasticity and Tinnitus.” 2012. Web. 03 Apr 2020.

Vancouver:

Chrostowski M. Cortical Plasticity and Tinnitus. [Internet] [Doctoral dissertation]. McMaster University; 2012. [cited 2020 Apr 03]. Available from: http://hdl.handle.net/11375/12585.

Council of Science Editors:

Chrostowski M. Cortical Plasticity and Tinnitus. [Doctoral Dissertation]. McMaster University; 2012. Available from: http://hdl.handle.net/11375/12585


University of Louisville

20. DePiero, Victor Julian. Understanding object motion encoding in the mammalian retina.

Degree: PhD, 2019, University of Louisville

  Phototransduction, transmission of visual information down the optic nerve incurs delays on the order of 50 – 100ms. This implies that the neuronal representation… (more)

Subjects/Keywords: retina; systems neuroscience; imaging; electrophysiology; Biology; Computational Neuroscience; Molecular and Cellular Neuroscience; Systems Neuroscience

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APA (6th Edition):

DePiero, V. J. (2019). Understanding object motion encoding in the mammalian retina. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/3323 ; https://ir.library.louisville.edu/etd/3323

Chicago Manual of Style (16th Edition):

DePiero, Victor Julian. “Understanding object motion encoding in the mammalian retina.” 2019. Doctoral Dissertation, University of Louisville. Accessed April 03, 2020. 10.18297/etd/3323 ; https://ir.library.louisville.edu/etd/3323.

MLA Handbook (7th Edition):

DePiero, Victor Julian. “Understanding object motion encoding in the mammalian retina.” 2019. Web. 03 Apr 2020.

Vancouver:

DePiero VJ. Understanding object motion encoding in the mammalian retina. [Internet] [Doctoral dissertation]. University of Louisville; 2019. [cited 2020 Apr 03]. Available from: 10.18297/etd/3323 ; https://ir.library.louisville.edu/etd/3323.

Council of Science Editors:

DePiero VJ. Understanding object motion encoding in the mammalian retina. [Doctoral Dissertation]. University of Louisville; 2019. Available from: 10.18297/etd/3323 ; https://ir.library.louisville.edu/etd/3323


University of Washington

21. Casimo, Kaitlyn. Spontaneous and task-related changes in resting state connectivity.

Degree: PhD, 2018, University of Washington

 Resting state brain connectivity is thought to represent ongoing cognitive processes, including memory consolidation, that occur outside of the context of a specific task. While… (more)

Subjects/Keywords: behavioral neuroscience; brain connectivity; computational neuroscience; electrophysiology; human neuroscience; Neurosciences; Behavioral neuroscience

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

APA (6th Edition):

Casimo, K. (2018). Spontaneous and task-related changes in resting state connectivity. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/42196

Chicago Manual of Style (16th Edition):

Casimo, Kaitlyn. “Spontaneous and task-related changes in resting state connectivity.” 2018. Doctoral Dissertation, University of Washington. Accessed April 03, 2020. http://hdl.handle.net/1773/42196.

MLA Handbook (7th Edition):

Casimo, Kaitlyn. “Spontaneous and task-related changes in resting state connectivity.” 2018. Web. 03 Apr 2020.

Vancouver:

Casimo K. Spontaneous and task-related changes in resting state connectivity. [Internet] [Doctoral dissertation]. University of Washington; 2018. [cited 2020 Apr 03]. Available from: http://hdl.handle.net/1773/42196.

Council of Science Editors:

Casimo K. Spontaneous and task-related changes in resting state connectivity. [Doctoral Dissertation]. University of Washington; 2018. Available from: http://hdl.handle.net/1773/42196

22. Galbraith, Byron. Computational Modeling of Biological Neural Networks on GPUs: Strategies and Performance.

Degree: 2010, Marquette University

 Simulating biological neural networks is an important task for computational neuroscientists attempting to model and analyze brain activity and function. As these networks become larger… (more)

Subjects/Keywords: computational; gpu; network; neural; neuroscience; simulation; neuroscience; computer science; Bioinformatics; Computational Neuroscience; Computer Sciences; Neuroscience and Neurobiology

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APA (6th Edition):

Galbraith, B. (2010). Computational Modeling of Biological Neural Networks on GPUs: Strategies and Performance. (Thesis). Marquette University. Retrieved from https://epublications.marquette.edu/theses_open/61

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):

Galbraith, Byron. “Computational Modeling of Biological Neural Networks on GPUs: Strategies and Performance.” 2010. Thesis, Marquette University. Accessed April 03, 2020. https://epublications.marquette.edu/theses_open/61.

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

MLA Handbook (7th Edition):

Galbraith, Byron. “Computational Modeling of Biological Neural Networks on GPUs: Strategies and Performance.” 2010. Web. 03 Apr 2020.

Vancouver:

Galbraith B. Computational Modeling of Biological Neural Networks on GPUs: Strategies and Performance. [Internet] [Thesis]. Marquette University; 2010. [cited 2020 Apr 03]. Available from: https://epublications.marquette.edu/theses_open/61.

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

Council of Science Editors:

Galbraith B. Computational Modeling of Biological Neural Networks on GPUs: Strategies and Performance. [Thesis]. Marquette University; 2010. Available from: https://epublications.marquette.edu/theses_open/61

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


University of Sydney

23. Abeysuriya, Romesh Gerald. Physiologically-based Brain State Modeling .

Degree: 2014, University of Sydney

 The brain is the most complex organ in the body, and exhibits rich multiscale dynamics. Changes in arousal state (such as falling asleep) are accompanied… (more)

Subjects/Keywords: Computational neuroscience; Neural field theory; Modelling

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APA (6th Edition):

Abeysuriya, R. G. (2014). Physiologically-based Brain State Modeling . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/14469

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):

Abeysuriya, Romesh Gerald. “Physiologically-based Brain State Modeling .” 2014. Thesis, University of Sydney. Accessed April 03, 2020. http://hdl.handle.net/2123/14469.

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

MLA Handbook (7th Edition):

Abeysuriya, Romesh Gerald. “Physiologically-based Brain State Modeling .” 2014. Web. 03 Apr 2020.

Vancouver:

Abeysuriya RG. Physiologically-based Brain State Modeling . [Internet] [Thesis]. University of Sydney; 2014. [cited 2020 Apr 03]. Available from: http://hdl.handle.net/2123/14469.

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

Council of Science Editors:

Abeysuriya RG. Physiologically-based Brain State Modeling . [Thesis]. University of Sydney; 2014. Available from: http://hdl.handle.net/2123/14469

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

24. Bekolay, Trevor. Biologically inspired methods in speech recognition and synthesis: closing the loop.

Degree: 2016, University of Waterloo

 Current state-of-the-art approaches to computational speech recognition and synthesis are based on statistical analyses of extremely large data sets. It is currently unknown how these… (more)

Subjects/Keywords: speech; spiking neural networks; computational neuroscience

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APA (6th Edition):

Bekolay, T. (2016). Biologically inspired methods in speech recognition and synthesis: closing the loop. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/10269

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):

Bekolay, Trevor. “Biologically inspired methods in speech recognition and synthesis: closing the loop.” 2016. Thesis, University of Waterloo. Accessed April 03, 2020. http://hdl.handle.net/10012/10269.

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

MLA Handbook (7th Edition):

Bekolay, Trevor. “Biologically inspired methods in speech recognition and synthesis: closing the loop.” 2016. Web. 03 Apr 2020.

Vancouver:

Bekolay T. Biologically inspired methods in speech recognition and synthesis: closing the loop. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2020 Apr 03]. Available from: http://hdl.handle.net/10012/10269.

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

Council of Science Editors:

Bekolay T. Biologically inspired methods in speech recognition and synthesis: closing the loop. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/10269

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


University of Michigan

25. Mofakham, Sima. Elucidating the Interplay of Structure, Dynamics, and Function in the Brain’s Neural Networks.

Degree: PhD, Biophysics, 2016, University of Michigan

 Brain’s structure, dynamics, and function are deeply intertwined. To understand how the brain functions, it is crucial to uncover the links between network structure and… (more)

Subjects/Keywords: Computational neuroscience; neural network; Science (General); Science

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APA (6th Edition):

Mofakham, S. (2016). Elucidating the Interplay of Structure, Dynamics, and Function in the Brain’s Neural Networks. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/120768

Chicago Manual of Style (16th Edition):

Mofakham, Sima. “Elucidating the Interplay of Structure, Dynamics, and Function in the Brain’s Neural Networks.” 2016. Doctoral Dissertation, University of Michigan. Accessed April 03, 2020. http://hdl.handle.net/2027.42/120768.

MLA Handbook (7th Edition):

Mofakham, Sima. “Elucidating the Interplay of Structure, Dynamics, and Function in the Brain’s Neural Networks.” 2016. Web. 03 Apr 2020.

Vancouver:

Mofakham S. Elucidating the Interplay of Structure, Dynamics, and Function in the Brain’s Neural Networks. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Apr 03]. Available from: http://hdl.handle.net/2027.42/120768.

Council of Science Editors:

Mofakham S. Elucidating the Interplay of Structure, Dynamics, and Function in the Brain’s Neural Networks. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/120768


Northeastern University

26. Gala, Rohan. Examining neuronal connectivity and its role in learning and memory.

Degree: PhD, Department of Physics, 2017, Northeastern University

 Learning and long-term memory formation are accompanied with changes in the patterns and weights of synaptic connections in the underlying neuronal network. However, the fundamental… (more)

Subjects/Keywords: computational neuroscience; neuronal connectivity; learning; memory

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APA (6th Edition):

Gala, R. (2017). Examining neuronal connectivity and its role in learning and memory. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20253061

Chicago Manual of Style (16th Edition):

Gala, Rohan. “Examining neuronal connectivity and its role in learning and memory.” 2017. Doctoral Dissertation, Northeastern University. Accessed April 03, 2020. http://hdl.handle.net/2047/D20253061.

MLA Handbook (7th Edition):

Gala, Rohan. “Examining neuronal connectivity and its role in learning and memory.” 2017. Web. 03 Apr 2020.

Vancouver:

Gala R. Examining neuronal connectivity and its role in learning and memory. [Internet] [Doctoral dissertation]. Northeastern University; 2017. [cited 2020 Apr 03]. Available from: http://hdl.handle.net/2047/D20253061.

Council of Science Editors:

Gala R. Examining neuronal connectivity and its role in learning and memory. [Doctoral Dissertation]. Northeastern University; 2017. Available from: http://hdl.handle.net/2047/D20253061


Drexel University

27. Bacak, Bartholomew James. Multi-Scale Modeling of the Neural Control of Respiration.

Degree: 2016, Drexel University

The generation of respiration in mammals begins in the lower brainstem where groups of neurons, that together comprise the respiratory central pattern generator (CPG), interact… (more)

Subjects/Keywords: Biomedical engineering; Bifurcation theory; Computational neuroscience

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APA (6th Edition):

Bacak, B. J. (2016). Multi-Scale Modeling of the Neural Control of Respiration. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/idea:6635

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):

Bacak, Bartholomew James. “Multi-Scale Modeling of the Neural Control of Respiration.” 2016. Thesis, Drexel University. Accessed April 03, 2020. http://hdl.handle.net/1860/idea:6635.

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

MLA Handbook (7th Edition):

Bacak, Bartholomew James. “Multi-Scale Modeling of the Neural Control of Respiration.” 2016. Web. 03 Apr 2020.

Vancouver:

Bacak BJ. Multi-Scale Modeling of the Neural Control of Respiration. [Internet] [Thesis]. Drexel University; 2016. [cited 2020 Apr 03]. Available from: http://hdl.handle.net/1860/idea:6635.

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

Council of Science Editors:

Bacak BJ. Multi-Scale Modeling of the Neural Control of Respiration. [Thesis]. Drexel University; 2016. Available from: http://hdl.handle.net/1860/idea:6635

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


University of Oxford

28. Hadida, Jonathan. Simulating brain resting-state activity : what matters?.

Degree: PhD, 2018, University of Oxford

 In the field of computational neuroscience, large-scale biophysical modelling is a bottom-up approach to study the interaction between brain structure and function. In this thesis,… (more)

Subjects/Keywords: Structure-function; Computational neuroscience; Computational modelling; Biophysical modelling; Complexity science; Bayesian optimisation; Neuroscience

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APA (6th Edition):

Hadida, J. (2018). Simulating brain resting-state activity : what matters?. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:5abd962a-b798-4530-947a-24eeafd568f3 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780414

Chicago Manual of Style (16th Edition):

Hadida, Jonathan. “Simulating brain resting-state activity : what matters?.” 2018. Doctoral Dissertation, University of Oxford. Accessed April 03, 2020. http://ora.ox.ac.uk/objects/uuid:5abd962a-b798-4530-947a-24eeafd568f3 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780414.

MLA Handbook (7th Edition):

Hadida, Jonathan. “Simulating brain resting-state activity : what matters?.” 2018. Web. 03 Apr 2020.

Vancouver:

Hadida J. Simulating brain resting-state activity : what matters?. [Internet] [Doctoral dissertation]. University of Oxford; 2018. [cited 2020 Apr 03]. Available from: http://ora.ox.ac.uk/objects/uuid:5abd962a-b798-4530-947a-24eeafd568f3 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780414.

Council of Science Editors:

Hadida J. Simulating brain resting-state activity : what matters?. [Doctoral Dissertation]. University of Oxford; 2018. Available from: http://ora.ox.ac.uk/objects/uuid:5abd962a-b798-4530-947a-24eeafd568f3 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780414


University of Washington

29. Weber, Alison I. Incorporating neural response variability into models for neural coding.

Degree: PhD, 2019, University of Washington

 One of the primary challenges facing neuroscientists is understanding how information is represented in neural circuits. These representations provide insight into the computations performed by… (more)

Subjects/Keywords: computational modeling; computational neuroscience; neural coding; noise; retina; Neurosciences; Applied mathematics; Physiology; Behavioral neuroscience

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APA (6th Edition):

Weber, A. I. (2019). Incorporating neural response variability into models for neural coding. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/43630

Chicago Manual of Style (16th Edition):

Weber, Alison I. “Incorporating neural response variability into models for neural coding.” 2019. Doctoral Dissertation, University of Washington. Accessed April 03, 2020. http://hdl.handle.net/1773/43630.

MLA Handbook (7th Edition):

Weber, Alison I. “Incorporating neural response variability into models for neural coding.” 2019. Web. 03 Apr 2020.

Vancouver:

Weber AI. Incorporating neural response variability into models for neural coding. [Internet] [Doctoral dissertation]. University of Washington; 2019. [cited 2020 Apr 03]. Available from: http://hdl.handle.net/1773/43630.

Council of Science Editors:

Weber AI. Incorporating neural response variability into models for neural coding. [Doctoral Dissertation]. University of Washington; 2019. Available from: http://hdl.handle.net/1773/43630


University of Oxford

30. Petitet, Pierre. Sensorimotor adaptation : mechanisms, modulation and rehabilitation potential.

Degree: PhD, 2018, University of Oxford

 Adaptation is a fundamental property of the nervous system that underlies the maintenance of successful actions through flexible reconfiguration of sensorimotor processing. The primary aims… (more)

Subjects/Keywords: Clinical Neuroscience; Sensorimotor adaptation; Computational neuroscience; Brain stimulation; Stroke rehabilitation; Neuroimaging

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APA (6th Edition):

Petitet, P. (2018). Sensorimotor adaptation : mechanisms, modulation and rehabilitation potential. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:5935d96d-625a-4778-b42d-bb56c96d96cc ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748954

Chicago Manual of Style (16th Edition):

Petitet, Pierre. “Sensorimotor adaptation : mechanisms, modulation and rehabilitation potential.” 2018. Doctoral Dissertation, University of Oxford. Accessed April 03, 2020. http://ora.ox.ac.uk/objects/uuid:5935d96d-625a-4778-b42d-bb56c96d96cc ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748954.

MLA Handbook (7th Edition):

Petitet, Pierre. “Sensorimotor adaptation : mechanisms, modulation and rehabilitation potential.” 2018. Web. 03 Apr 2020.

Vancouver:

Petitet P. Sensorimotor adaptation : mechanisms, modulation and rehabilitation potential. [Internet] [Doctoral dissertation]. University of Oxford; 2018. [cited 2020 Apr 03]. Available from: http://ora.ox.ac.uk/objects/uuid:5935d96d-625a-4778-b42d-bb56c96d96cc ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748954.

Council of Science Editors:

Petitet P. Sensorimotor adaptation : mechanisms, modulation and rehabilitation potential. [Doctoral Dissertation]. University of Oxford; 2018. Available from: http://ora.ox.ac.uk/objects/uuid:5935d96d-625a-4778-b42d-bb56c96d96cc ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748954

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