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You searched for subject:(Computational Neuroscience). Showing records 1 – 30 of 308 total matches.

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University of Oxford

1. Jordan, Henry. Neural network models of hierarchical map-based planning in the brain.

Degree: PhD, 2018, University of Oxford

 Many researchers have tried to model how model-based behaviour is produced in the brain, and specifically how environmental knowledge is learned and used in the… (more)

Subjects/Keywords: Computational neuroscience

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APA (6th Edition):

Jordan, H. (2018). Neural network models of hierarchical map-based planning in the brain. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:d1e5dcf8-2721-440c-b27f-5b56f33eff21 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799921

Chicago Manual of Style (16th Edition):

Jordan, Henry. “Neural network models of hierarchical map-based planning in the brain.” 2018. Doctoral Dissertation, University of Oxford. Accessed August 07, 2020. http://ora.ox.ac.uk/objects/uuid:d1e5dcf8-2721-440c-b27f-5b56f33eff21 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799921.

MLA Handbook (7th Edition):

Jordan, Henry. “Neural network models of hierarchical map-based planning in the brain.” 2018. Web. 07 Aug 2020.

Vancouver:

Jordan H. Neural network models of hierarchical map-based planning in the brain. [Internet] [Doctoral dissertation]. University of Oxford; 2018. [cited 2020 Aug 07]. Available from: http://ora.ox.ac.uk/objects/uuid:d1e5dcf8-2721-440c-b27f-5b56f33eff21 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799921.

Council of Science Editors:

Jordan H. Neural network models of hierarchical map-based planning in the brain. [Doctoral Dissertation]. University of Oxford; 2018. Available from: http://ora.ox.ac.uk/objects/uuid:d1e5dcf8-2721-440c-b27f-5b56f33eff21 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799921


University of Oxford

2. 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 August 07, 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. 07 Aug 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 Aug 07]. 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

3. 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 August 07, 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. 07 Aug 2020.

Vancouver:

Zhu M. Sparse coding models of neural response in the primary visual cortex. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2020 Aug 07]. 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 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 August 07, 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. 07 Aug 2020.

Vancouver:

Adwani MH. Is the Brain a Discovery Network?. [Internet] [Thesis]. University of Illinois – Chicago; 2019. [cited 2020 Aug 07]. 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


University of Exeter

5. 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 August 07, 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. 07 Aug 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 Aug 07]. 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 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 August 07, 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. 07 Aug 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 Aug 07]. 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


University of Oxford

7. Podlaski, William. Channels and circuits : biophysical and network models of neuronal function.

Degree: PhD, 2018, University of Oxford

Neuroscience research studies the brain at various different levels of detail. Experimental work explores everything from the molecular machinery within each neuron, to the behavioral… (more)

Subjects/Keywords: Neurosciences; Computational neuroscience

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APA (6th Edition):

Podlaski, W. (2018). Channels and circuits : biophysical and network models of neuronal function. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:8f909c99-0457-4cf3-9aaa-bfa4e4897de6 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799923

Chicago Manual of Style (16th Edition):

Podlaski, William. “Channels and circuits : biophysical and network models of neuronal function.” 2018. Doctoral Dissertation, University of Oxford. Accessed August 07, 2020. http://ora.ox.ac.uk/objects/uuid:8f909c99-0457-4cf3-9aaa-bfa4e4897de6 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799923.

MLA Handbook (7th Edition):

Podlaski, William. “Channels and circuits : biophysical and network models of neuronal function.” 2018. Web. 07 Aug 2020.

Vancouver:

Podlaski W. Channels and circuits : biophysical and network models of neuronal function. [Internet] [Doctoral dissertation]. University of Oxford; 2018. [cited 2020 Aug 07]. Available from: http://ora.ox.ac.uk/objects/uuid:8f909c99-0457-4cf3-9aaa-bfa4e4897de6 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799923.

Council of Science Editors:

Podlaski W. Channels and circuits : biophysical and network models of neuronal function. [Doctoral Dissertation]. University of Oxford; 2018. Available from: http://ora.ox.ac.uk/objects/uuid:8f909c99-0457-4cf3-9aaa-bfa4e4897de6 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799923


Brandeis University

8. 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 August 07, 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. 07 Aug 2020.

Vancouver:

Hoyland A. Differential Responses to Neuromodulation in Model Neurons of the Crustacean Stomatogastric Ganglion. [Internet] [Thesis]. Brandeis University; 2018. [cited 2020 Aug 07]. 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 Oxford

9. 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 August 07, 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. 07 Aug 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 Aug 07]. 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 Waterloo

10. 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 August 07, 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. 07 Aug 2020.

Vancouver:

Suma P. Biologically Plausible Cortical Hierarchical-Classifier Circuit Extensions in Spiking Neurons. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2020 Aug 07]. 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


University of Oxford

11. 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 August 07, 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. 07 Aug 2020.

Vancouver:

Rabinowitz NC. Contrast gain control in the central auditory system. [Internet] [Doctoral dissertation]. University of Oxford; 2012. [cited 2020 Aug 07]. 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


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 August 07, 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. 07 Aug 2020.

Vancouver:

Bancroft TD. Scalar Short-Term Memory. [Internet] [Thesis]. Wilfrid Laurier University; 2016. [cited 2020 Aug 07]. 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 Ottawa

13. 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 (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 August 07, 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. 07 Aug 2020.

Vancouver:

Harkin E. A Simplified Serotonin Neuron Model . [Internet] [Thesis]. University of Ottawa; 2018. [cited 2020 Aug 07]. 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 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 August 07, 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. 07 Aug 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 Aug 07]. 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 Oxford

15. 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 August 07, 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. 07 Aug 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 Aug 07]. 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

16. -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 August 07, 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. 07 Aug 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 Aug 07]. 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

17. 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 August 07, 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. 07 Aug 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 Aug 07]. 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


University of Louisville

18. 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 August 07, 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. 07 Aug 2020.

Vancouver:

DePiero VJ. Understanding object motion encoding in the mammalian retina. [Internet] [Doctoral dissertation]. University of Louisville; 2019. [cited 2020 Aug 07]. 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

19. 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 (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 August 07, 2020. http://hdl.handle.net/1773/42196.

MLA Handbook (7th Edition):

Casimo, Kaitlyn. “Spontaneous and task-related changes in resting state connectivity.” 2018. Web. 07 Aug 2020.

Vancouver:

Casimo K. Spontaneous and task-related changes in resting state connectivity. [Internet] [Doctoral dissertation]. University of Washington; 2018. [cited 2020 Aug 07]. 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

20. 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 August 07, 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. 07 Aug 2020.

Vancouver:

Galbraith B. Computational Modeling of Biological Neural Networks on GPUs: Strategies and Performance. [Internet] [Thesis]. Marquette University; 2010. [cited 2020 Aug 07]. 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

21. 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 August 07, 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. 07 Aug 2020.

Vancouver:

Abeysuriya RG. Physiologically-based Brain State Modeling . [Internet] [Thesis]. University of Sydney; 2014. [cited 2020 Aug 07]. 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


University of Toronto

22. Guet-McCreight, Alexandre Thomas Liam. Interneuron Specific (Dis)Inhibitory Control in the CA1 Hippocampus: A Single-cell Computational Study Spanning In Vitro and In Vivo Virtual Network Contexts.

Degree: PhD, 2020, University of Toronto

 The hippocampus, an area of the brain responsible for memory formation, has a large diversity of different inhibitory neuron types. Because inhibitory neurons are fewer… (more)

Subjects/Keywords: Computational Neuroscience; Disinhibition; Hippocampus; Interneurons; 0317

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APA (6th Edition):

Guet-McCreight, A. T. L. (2020). Interneuron Specific (Dis)Inhibitory Control in the CA1 Hippocampus: A Single-cell Computational Study Spanning In Vitro and In Vivo Virtual Network Contexts. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/100949

Chicago Manual of Style (16th Edition):

Guet-McCreight, Alexandre Thomas Liam. “Interneuron Specific (Dis)Inhibitory Control in the CA1 Hippocampus: A Single-cell Computational Study Spanning In Vitro and In Vivo Virtual Network Contexts.” 2020. Doctoral Dissertation, University of Toronto. Accessed August 07, 2020. http://hdl.handle.net/1807/100949.

MLA Handbook (7th Edition):

Guet-McCreight, Alexandre Thomas Liam. “Interneuron Specific (Dis)Inhibitory Control in the CA1 Hippocampus: A Single-cell Computational Study Spanning In Vitro and In Vivo Virtual Network Contexts.” 2020. Web. 07 Aug 2020.

Vancouver:

Guet-McCreight ATL. Interneuron Specific (Dis)Inhibitory Control in the CA1 Hippocampus: A Single-cell Computational Study Spanning In Vitro and In Vivo Virtual Network Contexts. [Internet] [Doctoral dissertation]. University of Toronto; 2020. [cited 2020 Aug 07]. Available from: http://hdl.handle.net/1807/100949.

Council of Science Editors:

Guet-McCreight ATL. Interneuron Specific (Dis)Inhibitory Control in the CA1 Hippocampus: A Single-cell Computational Study Spanning In Vitro and In Vivo Virtual Network Contexts. [Doctoral Dissertation]. University of Toronto; 2020. Available from: http://hdl.handle.net/1807/100949

23. 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 August 07, 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. 07 Aug 2020.

Vancouver:

Bekolay T. Biologically inspired methods in speech recognition and synthesis: closing the loop. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2020 Aug 07]. 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

24. 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 August 07, 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. 07 Aug 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 Aug 07]. 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

25. 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 August 07, 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. 07 Aug 2020.

Vancouver:

Gala R. Examining neuronal connectivity and its role in learning and memory. [Internet] [Doctoral dissertation]. Northeastern University; 2017. [cited 2020 Aug 07]. 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


Boston University

26. Vogel, Adam Tyler. A tool for the in vivo gating of gene expression in neurons using the co-occurrence of neural activity and light.

Degree: PhD, Computational Neuroscience, 2020, Boston University

 Advancements in genetically based technologies have begun to allow us to better understand the relationships between underlying neural activity and the patterns of measurable behavior… (more)

Subjects/Keywords: Neurosciences; Biotechnology; Computational modeling; Genetic engineering; Neuroscience

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APA (6th Edition):

Vogel, A. T. (2020). A tool for the in vivo gating of gene expression in neurons using the co-occurrence of neural activity and light. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/41105

Chicago Manual of Style (16th Edition):

Vogel, Adam Tyler. “A tool for the in vivo gating of gene expression in neurons using the co-occurrence of neural activity and light.” 2020. Doctoral Dissertation, Boston University. Accessed August 07, 2020. http://hdl.handle.net/2144/41105.

MLA Handbook (7th Edition):

Vogel, Adam Tyler. “A tool for the in vivo gating of gene expression in neurons using the co-occurrence of neural activity and light.” 2020. Web. 07 Aug 2020.

Vancouver:

Vogel AT. A tool for the in vivo gating of gene expression in neurons using the co-occurrence of neural activity and light. [Internet] [Doctoral dissertation]. Boston University; 2020. [cited 2020 Aug 07]. Available from: http://hdl.handle.net/2144/41105.

Council of Science Editors:

Vogel AT. A tool for the in vivo gating of gene expression in neurons using the co-occurrence of neural activity and light. [Doctoral Dissertation]. Boston University; 2020. Available from: http://hdl.handle.net/2144/41105


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 August 07, 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. 07 Aug 2020.

Vancouver:

Bacak BJ. Multi-Scale Modeling of the Neural Control of Respiration. [Internet] [Thesis]. Drexel University; 2016. [cited 2020 Aug 07]. 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 Ottawa

28. Williams, Ezekiel. An Information Theoretic Analysis of Neural Multiplexing .

Degree: 2020, University of Ottawa

 How the brain encodes information in sequences of voltage spikes is an open question. Past literature suggests the importance of bursts, high-frequency spike events, as… (more)

Subjects/Keywords: Computational Neuroscience; Information Theory; Applied Math

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APA (6th Edition):

Williams, E. (2020). An Information Theoretic Analysis of Neural Multiplexing . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/40407

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):

Williams, Ezekiel. “An Information Theoretic Analysis of Neural Multiplexing .” 2020. Thesis, University of Ottawa. Accessed August 07, 2020. http://hdl.handle.net/10393/40407.

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

MLA Handbook (7th Edition):

Williams, Ezekiel. “An Information Theoretic Analysis of Neural Multiplexing .” 2020. Web. 07 Aug 2020.

Vancouver:

Williams E. An Information Theoretic Analysis of Neural Multiplexing . [Internet] [Thesis]. University of Ottawa; 2020. [cited 2020 Aug 07]. Available from: http://hdl.handle.net/10393/40407.

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

Council of Science Editors:

Williams E. An Information Theoretic Analysis of Neural Multiplexing . [Thesis]. University of Ottawa; 2020. Available from: http://hdl.handle.net/10393/40407

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


University of Oxford

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

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 August 07, 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. 07 Aug 2020.

Vancouver:

Hadida J. Simulating brain resting-state activity : what matters?. [Internet] [Doctoral dissertation]. University of Oxford; 2018. [cited 2020 Aug 07]. 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

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

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 August 07, 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. 07 Aug 2020.

Vancouver:

Weber AI. Incorporating neural response variability into models for neural coding. [Internet] [Doctoral dissertation]. University of Washington; 2019. [cited 2020 Aug 07]. 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

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