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You searched for subject:(computational neuroscience). Showing records 1 – 30 of 311 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 July 02, 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. 02 Jul 2020.

Vancouver:

Jordan H. Neural network models of hierarchical map-based planning in the brain. [Internet] [Doctoral dissertation]. University of Oxford; 2018. [cited 2020 Jul 02]. 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 July 02, 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. 02 Jul 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 Jul 02]. 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 July 02, 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. 02 Jul 2020.

Vancouver:

Zhu M. Sparse coding models of neural response in the primary visual cortex. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2020 Jul 02]. 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 July 02, 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. 02 Jul 2020.

Vancouver:

Adwani MH. Is the Brain a Discovery Network?. [Internet] [Thesis]. University of Illinois – Chicago; 2019. [cited 2020 Jul 02]. 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 July 02, 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. 02 Jul 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 Jul 02]. 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 July 02, 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. 02 Jul 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 Jul 02]. 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 July 02, 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. 02 Jul 2020.

Vancouver:

Podlaski W. Channels and circuits : biophysical and network models of neuronal function. [Internet] [Doctoral dissertation]. University of Oxford; 2018. [cited 2020 Jul 02]. 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 July 02, 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. 02 Jul 2020.

Vancouver:

Hoyland A. Differential Responses to Neuromodulation in Model Neurons of the Crustacean Stomatogastric Ganglion. [Internet] [Thesis]. Brandeis University; 2018. [cited 2020 Jul 02]. 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


McMaster University

9. 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 July 02, 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. 02 Jul 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 Jul 02]. 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

10. 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 July 02, 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. 02 Jul 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 Jul 02]. 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

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 July 02, 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. 02 Jul 2020.

Vancouver:

Suma P. Biologically Plausible Cortical Hierarchical-Classifier Circuit Extensions in Spiking Neurons. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2020 Jul 02]. 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

12. 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 July 02, 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. 02 Jul 2020.

Vancouver:

Rabinowitz NC. Contrast gain control in the central auditory system. [Internet] [Doctoral dissertation]. University of Oxford; 2012. [cited 2020 Jul 02]. 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

13. 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 July 02, 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. 02 Jul 2020.

Vancouver:

Bancroft TD. Scalar Short-Term Memory. [Internet] [Thesis]. Wilfrid Laurier University; 2016. [cited 2020 Jul 02]. 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

14. 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 July 02, 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. 02 Jul 2020.

Vancouver:

Harkin E. A Simplified Serotonin Neuron Model . [Internet] [Thesis]. University of Ottawa; 2018. [cited 2020 Jul 02]. 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

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

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 July 02, 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. 02 Jul 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 Jul 02]. 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

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 July 02, 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. 02 Jul 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 Jul 02]. 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 July 02, 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. 02 Jul 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 Jul 02]. 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 July 02, 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. 02 Jul 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 Jul 02]. 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 July 02, 2020. http://hdl.handle.net/11375/12585.

MLA Handbook (7th Edition):

Chrostowski, Michal. “Cortical Plasticity and Tinnitus.” 2012. Web. 02 Jul 2020.

Vancouver:

Chrostowski M. Cortical Plasticity and Tinnitus. [Internet] [Doctoral dissertation]. McMaster University; 2012. [cited 2020 Jul 02]. 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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

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 July 02, 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. 02 Jul 2020.

Vancouver:

DePiero VJ. Understanding object motion encoding in the mammalian retina. [Internet] [Doctoral dissertation]. University of Louisville; 2019. [cited 2020 Jul 02]. 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 (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 July 02, 2020. http://hdl.handle.net/1773/42196.

MLA Handbook (7th Edition):

Casimo, Kaitlyn. “Spontaneous and task-related changes in resting state connectivity.” 2018. Web. 02 Jul 2020.

Vancouver:

Casimo K. Spontaneous and task-related changes in resting state connectivity. [Internet] [Doctoral dissertation]. University of Washington; 2018. [cited 2020 Jul 02]. 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 July 02, 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. 02 Jul 2020.

Vancouver:

Galbraith B. Computational Modeling of Biological Neural Networks on GPUs: Strategies and Performance. [Internet] [Thesis]. Marquette University; 2010. [cited 2020 Jul 02]. 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 July 02, 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. 02 Jul 2020.

Vancouver:

Abeysuriya RG. Physiologically-based Brain State Modeling . [Internet] [Thesis]. University of Sydney; 2014. [cited 2020 Jul 02]. 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 July 02, 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. 02 Jul 2020.

Vancouver:

Bekolay T. Biologically inspired methods in speech recognition and synthesis: closing the loop. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2020 Jul 02]. 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 July 02, 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. 02 Jul 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 Jul 02]. 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 July 02, 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. 02 Jul 2020.

Vancouver:

Gala R. Examining neuronal connectivity and its role in learning and memory. [Internet] [Doctoral dissertation]. Northeastern University; 2017. [cited 2020 Jul 02]. 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

27. 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 July 02, 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. 02 Jul 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 Jul 02]. 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

28. 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 July 02, 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. 02 Jul 2020.

Vancouver:

Bacak BJ. Multi-Scale Modeling of the Neural Control of Respiration. [Internet] [Thesis]. Drexel University; 2016. [cited 2020 Jul 02]. 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

29. 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 July 02, 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. 02 Jul 2020.

Vancouver:

Williams E. An Information Theoretic Analysis of Neural Multiplexing . [Internet] [Thesis]. University of Ottawa; 2020. [cited 2020 Jul 02]. 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

30. 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 July 02, 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. 02 Jul 2020.

Vancouver:

Hadida J. Simulating brain resting-state activity : what matters?. [Internet] [Doctoral dissertation]. University of Oxford; 2018. [cited 2020 Jul 02]. 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

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