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You searched for subject:(inhibitory network). Showing records 1 – 11 of 11 total matches.

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University of Michigan

1. Wu, Jiaxing. From Structure to Function: Roles of System Level Excitation/Inhibition Balance on Spatio-Temporal Pattern Formation in Neuronal Networks.

Degree: PhD, Applied Physics, 2019, University of Michigan

 The brain consists of complex interacting networks of excitatory and inhibitory neurons. The spatio-temporal dynamical patterns in these neural networks are believed to underlie all… (more)

Subjects/Keywords: neural network; excitatory/inhibitory balance; network dynamics; Physics; Science

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

APA (6th Edition):

Wu, J. (2019). From Structure to Function: Roles of System Level Excitation/Inhibition Balance on Spatio-Temporal Pattern Formation in Neuronal Networks. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/151598

Chicago Manual of Style (16th Edition):

Wu, Jiaxing. “From Structure to Function: Roles of System Level Excitation/Inhibition Balance on Spatio-Temporal Pattern Formation in Neuronal Networks.” 2019. Doctoral Dissertation, University of Michigan. Accessed December 13, 2019. http://hdl.handle.net/2027.42/151598.

MLA Handbook (7th Edition):

Wu, Jiaxing. “From Structure to Function: Roles of System Level Excitation/Inhibition Balance on Spatio-Temporal Pattern Formation in Neuronal Networks.” 2019. Web. 13 Dec 2019.

Vancouver:

Wu J. From Structure to Function: Roles of System Level Excitation/Inhibition Balance on Spatio-Temporal Pattern Formation in Neuronal Networks. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/2027.42/151598.

Council of Science Editors:

Wu J. From Structure to Function: Roles of System Level Excitation/Inhibition Balance on Spatio-Temporal Pattern Formation in Neuronal Networks. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/151598


The Ohio State University

2. Park, Choongseok. Irregular behavior in an excitatory-inhibitory network.

Degree: PhD, Mathematics, 2007, The Ohio State University

 Excitatory-inhibitory networks arise in many regions throughout the central nervous system and display complex spatio-temporal firing patterns. The neuronal activity patterns (of individual neurons and/or… (more)

Subjects/Keywords: Mathematics; IRREGULAR BEHAVIOR; AN EXCITATORY-INHIBITORY NETWORK; BASAL GANGLIA

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APA (6th Edition):

Park, C. (2007). Irregular behavior in an excitatory-inhibitory network. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1181879964

Chicago Manual of Style (16th Edition):

Park, Choongseok. “Irregular behavior in an excitatory-inhibitory network.” 2007. Doctoral Dissertation, The Ohio State University. Accessed December 13, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1181879964.

MLA Handbook (7th Edition):

Park, Choongseok. “Irregular behavior in an excitatory-inhibitory network.” 2007. Web. 13 Dec 2019.

Vancouver:

Park C. Irregular behavior in an excitatory-inhibitory network. [Internet] [Doctoral dissertation]. The Ohio State University; 2007. [cited 2019 Dec 13]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1181879964.

Council of Science Editors:

Park C. Irregular behavior in an excitatory-inhibitory network. [Doctoral Dissertation]. The Ohio State University; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1181879964

3. Vizuete, Jeannette A. Functional integration in the cortical neuronal network of conscious and anesthetized animals.

Degree: 2012, Marquette University

 General anesthesia consists of amnesia, analgesia, areflexia and unconsciousness. How anesthetics suppress consciousness has been a mystery for more than one and a half centuries.… (more)

Subjects/Keywords: Anesthesia; Complexity; Excitatory-inhibitory balance; Functional connectivity; Neuronal bursts; Neuronal network; Biomedical Engineering and Bioengineering

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APA (6th Edition):

Vizuete, J. A. (2012). Functional integration in the cortical neuronal network of conscious and anesthetized animals. (Thesis). Marquette University. Retrieved from https://epublications.marquette.edu/dissertations_mu/243

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):

Vizuete, Jeannette A. “Functional integration in the cortical neuronal network of conscious and anesthetized animals.” 2012. Thesis, Marquette University. Accessed December 13, 2019. https://epublications.marquette.edu/dissertations_mu/243.

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

MLA Handbook (7th Edition):

Vizuete, Jeannette A. “Functional integration in the cortical neuronal network of conscious and anesthetized animals.” 2012. Web. 13 Dec 2019.

Vancouver:

Vizuete JA. Functional integration in the cortical neuronal network of conscious and anesthetized animals. [Internet] [Thesis]. Marquette University; 2012. [cited 2019 Dec 13]. Available from: https://epublications.marquette.edu/dissertations_mu/243.

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

Council of Science Editors:

Vizuete JA. Functional integration in the cortical neuronal network of conscious and anesthetized animals. [Thesis]. Marquette University; 2012. Available from: https://epublications.marquette.edu/dissertations_mu/243

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


University of Windsor

4. Yeryomenko, Nikita. An experimental study of exposure-based and emotion-focused interventions: Strange bedfellows, or a match made in heaven?.

Degree: PhD, Psychology, 2017, University of Windsor

 Exposure therapy is a considered to be the treatment of choice for anxiety disorders, but mechanisms of change underlying its effectiveness are currently being contested.… (more)

Subjects/Keywords: central autonomic network; emotional processing; experimental study; exposure therapy; inhibitory learning; social anxiety

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APA (6th Edition):

Yeryomenko, N. (2017). An experimental study of exposure-based and emotion-focused interventions: Strange bedfellows, or a match made in heaven?. (Doctoral Dissertation). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/7308

Chicago Manual of Style (16th Edition):

Yeryomenko, Nikita. “An experimental study of exposure-based and emotion-focused interventions: Strange bedfellows, or a match made in heaven?.” 2017. Doctoral Dissertation, University of Windsor. Accessed December 13, 2019. https://scholar.uwindsor.ca/etd/7308.

MLA Handbook (7th Edition):

Yeryomenko, Nikita. “An experimental study of exposure-based and emotion-focused interventions: Strange bedfellows, or a match made in heaven?.” 2017. Web. 13 Dec 2019.

Vancouver:

Yeryomenko N. An experimental study of exposure-based and emotion-focused interventions: Strange bedfellows, or a match made in heaven?. [Internet] [Doctoral dissertation]. University of Windsor; 2017. [cited 2019 Dec 13]. Available from: https://scholar.uwindsor.ca/etd/7308.

Council of Science Editors:

Yeryomenko N. An experimental study of exposure-based and emotion-focused interventions: Strange bedfellows, or a match made in heaven?. [Doctoral Dissertation]. University of Windsor; 2017. Available from: https://scholar.uwindsor.ca/etd/7308


University of Edinburgh

5. Huo, Juan. Adaptive map alignment in the superior colliculus of the barn owl : a neuromorphic implementation.

Degree: PhD, 2010, University of Edinburgh

 Adaptation is one of the basic phenomena of biology, while adaptability is an important feature for neural network. Young barn owl can well adapt its… (more)

Subjects/Keywords: 571.1; adaptability; superior colliculus; sensory maps; STDP; inhibitory network; axon growth cone

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APA (6th Edition):

Huo, J. (2010). Adaptive map alignment in the superior colliculus of the barn owl : a neuromorphic implementation. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/4762

Chicago Manual of Style (16th Edition):

Huo, Juan. “Adaptive map alignment in the superior colliculus of the barn owl : a neuromorphic implementation.” 2010. Doctoral Dissertation, University of Edinburgh. Accessed December 13, 2019. http://hdl.handle.net/1842/4762.

MLA Handbook (7th Edition):

Huo, Juan. “Adaptive map alignment in the superior colliculus of the barn owl : a neuromorphic implementation.” 2010. Web. 13 Dec 2019.

Vancouver:

Huo J. Adaptive map alignment in the superior colliculus of the barn owl : a neuromorphic implementation. [Internet] [Doctoral dissertation]. University of Edinburgh; 2010. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/1842/4762.

Council of Science Editors:

Huo J. Adaptive map alignment in the superior colliculus of the barn owl : a neuromorphic implementation. [Doctoral Dissertation]. University of Edinburgh; 2010. Available from: http://hdl.handle.net/1842/4762


University of Tasmania

6. Williams, ME. Behavioural and ERP correlates of hypervigilance and inhibitory control in spider fear.

Degree: 2016, University of Tasmania

 Attentional biases to threat are thought to arise from anxiety promoting automatic attentional processing in the form of hypervigilance, while disrupting voluntary attentional processes such… (more)

Subjects/Keywords: spider fear; hypervigilance; inhibitory control; attentional bias; specific fear; orienting; executive control attentional network

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APA (6th Edition):

Williams, M. (2016). Behavioural and ERP correlates of hypervigilance and inhibitory control in spider fear. (Thesis). University of Tasmania. Retrieved from https://eprints.utas.edu.au/31750/1/Williams_whole%20hons__thesis.pdf

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, ME. “Behavioural and ERP correlates of hypervigilance and inhibitory control in spider fear.” 2016. Thesis, University of Tasmania. Accessed December 13, 2019. https://eprints.utas.edu.au/31750/1/Williams_whole%20hons__thesis.pdf.

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

MLA Handbook (7th Edition):

Williams, ME. “Behavioural and ERP correlates of hypervigilance and inhibitory control in spider fear.” 2016. Web. 13 Dec 2019.

Vancouver:

Williams M. Behavioural and ERP correlates of hypervigilance and inhibitory control in spider fear. [Internet] [Thesis]. University of Tasmania; 2016. [cited 2019 Dec 13]. Available from: https://eprints.utas.edu.au/31750/1/Williams_whole%20hons__thesis.pdf.

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

Council of Science Editors:

Williams M. Behavioural and ERP correlates of hypervigilance and inhibitory control in spider fear. [Thesis]. University of Tasmania; 2016. Available from: https://eprints.utas.edu.au/31750/1/Williams_whole%20hons__thesis.pdf

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


Georgia Tech

7. Hooper, Ryan Michael. Variability and control of activity in small neural networks: Effects of neuron feedback dynamics.

Degree: PhD, Biomedical Engineering (Joint GT/Emory Department), 2016, Georgia Tech

 Rhythmic neural networks are dynamic systems that reliably generate stereotyped activity that drives numerous biological processes essential to life, including motor pattern generation. Due to… (more)

Subjects/Keywords: Phase response curve; Phase response analysis; Hybrid networks; Post inhibitory rebound; Neural network variability; Network feedback; Neural networks; Dynamic clamp

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APA (6th Edition):

Hooper, R. M. (2016). Variability and control of activity in small neural networks: Effects of neuron feedback dynamics. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/58156

Chicago Manual of Style (16th Edition):

Hooper, Ryan Michael. “Variability and control of activity in small neural networks: Effects of neuron feedback dynamics.” 2016. Doctoral Dissertation, Georgia Tech. Accessed December 13, 2019. http://hdl.handle.net/1853/58156.

MLA Handbook (7th Edition):

Hooper, Ryan Michael. “Variability and control of activity in small neural networks: Effects of neuron feedback dynamics.” 2016. Web. 13 Dec 2019.

Vancouver:

Hooper RM. Variability and control of activity in small neural networks: Effects of neuron feedback dynamics. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/1853/58156.

Council of Science Editors:

Hooper RM. Variability and control of activity in small neural networks: Effects of neuron feedback dynamics. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/58156


University of Illinois – Urbana-Champaign

8. Berning, Stephen R. Dynamics of a fully stochastic discretized neuronal model with excitatory and inhibitory neurons.

Degree: PhD, Mathematics, 2015, University of Illinois – Urbana-Champaign

 We consider here an extension and generalization of the stochastic neuronal network model developed by DeVille et al.; their model corresponded to an all-to-all network(more)

Subjects/Keywords: neural network; neuronal network; inhibitory neurons; inhibition; non-monotonic; synchrony; mean-field analysis; integrate-and-fire; limit theorem

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APA (6th Edition):

Berning, S. R. (2015). Dynamics of a fully stochastic discretized neuronal model with excitatory and inhibitory neurons. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/88189

Chicago Manual of Style (16th Edition):

Berning, Stephen R. “Dynamics of a fully stochastic discretized neuronal model with excitatory and inhibitory neurons.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 13, 2019. http://hdl.handle.net/2142/88189.

MLA Handbook (7th Edition):

Berning, Stephen R. “Dynamics of a fully stochastic discretized neuronal model with excitatory and inhibitory neurons.” 2015. Web. 13 Dec 2019.

Vancouver:

Berning SR. Dynamics of a fully stochastic discretized neuronal model with excitatory and inhibitory neurons. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/2142/88189.

Council of Science Editors:

Berning SR. Dynamics of a fully stochastic discretized neuronal model with excitatory and inhibitory neurons. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/88189

9. Klomjai, Wanalee. Modifications d'excitabilité des réseaux neuronaux de la moelle épinière chez des sujets sains et des patients porteurs de lésions du système nerveux central : Modifications of excitability of spinal networks in healthy subjects and patients with central nervous system lesions.

Degree: Docteur es, Neurosciences, 2014, Université Pierre et Marie Curie – Paris VI

 Ma thèse est consacrée à l’étude des réseaux neuronaux spinaux impliqués dans la motricité chez l’Homme est comprend deux chapitres. Des travaux récents effectués sur… (more)

Subjects/Keywords: Réseaux neuronaux spinaux; Synapses inhibitrices; Furosémide; Patients blessé médullaire; Patient hémiplégique; TDCS; Spinal network; Inhibitory synapses; 612.81

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APA (6th Edition):

Klomjai, W. (2014). Modifications d'excitabilité des réseaux neuronaux de la moelle épinière chez des sujets sains et des patients porteurs de lésions du système nerveux central : Modifications of excitability of spinal networks in healthy subjects and patients with central nervous system lesions. (Doctoral Dissertation). Université Pierre et Marie Curie – Paris VI. Retrieved from http://www.theses.fr/2014PA066165

Chicago Manual of Style (16th Edition):

Klomjai, Wanalee. “Modifications d'excitabilité des réseaux neuronaux de la moelle épinière chez des sujets sains et des patients porteurs de lésions du système nerveux central : Modifications of excitability of spinal networks in healthy subjects and patients with central nervous system lesions.” 2014. Doctoral Dissertation, Université Pierre et Marie Curie – Paris VI. Accessed December 13, 2019. http://www.theses.fr/2014PA066165.

MLA Handbook (7th Edition):

Klomjai, Wanalee. “Modifications d'excitabilité des réseaux neuronaux de la moelle épinière chez des sujets sains et des patients porteurs de lésions du système nerveux central : Modifications of excitability of spinal networks in healthy subjects and patients with central nervous system lesions.” 2014. Web. 13 Dec 2019.

Vancouver:

Klomjai W. Modifications d'excitabilité des réseaux neuronaux de la moelle épinière chez des sujets sains et des patients porteurs de lésions du système nerveux central : Modifications of excitability of spinal networks in healthy subjects and patients with central nervous system lesions. [Internet] [Doctoral dissertation]. Université Pierre et Marie Curie – Paris VI; 2014. [cited 2019 Dec 13]. Available from: http://www.theses.fr/2014PA066165.

Council of Science Editors:

Klomjai W. Modifications d'excitabilité des réseaux neuronaux de la moelle épinière chez des sujets sains et des patients porteurs de lésions du système nerveux central : Modifications of excitability of spinal networks in healthy subjects and patients with central nervous system lesions. [Doctoral Dissertation]. Université Pierre et Marie Curie – Paris VI; 2014. Available from: http://www.theses.fr/2014PA066165

10. Collens, Jarod. Rhythmogenesis and Bifurcation Analysis of 3-Node Neural Network Kernels.

Degree: PhD, Neuroscience Institute, 2017, Georgia State University

  Central pattern generators (CPGs) are small neural circuits of coupled cells stably producing a range of multiphasic coordinated rhythmic activities like locomotion, heartbeat, and… (more)

Subjects/Keywords: Network dynamics; Fitzhugh-Nagumo; Dynamical systems; Bifurcation analysis; 3-cell inhibitory networks; Modular networking

…x29;. The three-cell network of reciprocally inhibitory gFN cells can generate traveling… …to sweep parameters. Krishna’s help with coding and output for larger network… …99 FURTHER POLYRHYTHMICITY AND POST-INHIBITORY REBOUND 102 5.1 Additional asymmetric… …124 5.4 Post-inhibitory rebound mechanism… …126 5.4.1 Post-inhibitory rebound methods… 

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APA (6th Edition):

Collens, J. (2017). Rhythmogenesis and Bifurcation Analysis of 3-Node Neural Network Kernels. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/neurosci_diss/28

Chicago Manual of Style (16th Edition):

Collens, Jarod. “Rhythmogenesis and Bifurcation Analysis of 3-Node Neural Network Kernels.” 2017. Doctoral Dissertation, Georgia State University. Accessed December 13, 2019. https://scholarworks.gsu.edu/neurosci_diss/28.

MLA Handbook (7th Edition):

Collens, Jarod. “Rhythmogenesis and Bifurcation Analysis of 3-Node Neural Network Kernels.” 2017. Web. 13 Dec 2019.

Vancouver:

Collens J. Rhythmogenesis and Bifurcation Analysis of 3-Node Neural Network Kernels. [Internet] [Doctoral dissertation]. Georgia State University; 2017. [cited 2019 Dec 13]. Available from: https://scholarworks.gsu.edu/neurosci_diss/28.

Council of Science Editors:

Collens J. Rhythmogenesis and Bifurcation Analysis of 3-Node Neural Network Kernels. [Doctoral Dissertation]. Georgia State University; 2017. Available from: https://scholarworks.gsu.edu/neurosci_diss/28

11. Ahn, Sungwoo. Transient and Attractor Dynamics in Models for Odor Discrimination.

Degree: PhD, Mathematics, 2010, The Ohio State University

  Understanding how sensory information is encoded and decoded in the brain is a fundamental challenge in neuroscience. The honeybee antennal lobe (AL) provides an… (more)

Subjects/Keywords: Mathematics; Antennal Lobe; Excitatory-Inhibitory Neuronal Network Models; Discrete Dynamical System

…from Fig. 3 in [5]. . . . . . . . . . 4 An excitatory-inhibitory network. Each I… …an excitatory-inhibitory neuronal network and 1 each model displays complex firing… …inhibitory neuronal network models (Model 1 and Model 2). Model 1 (see Section 2.1… …and inhibitory (I-) cell in the neuronal network models satisfies Hodgkin-Huxley… …inhibitory network. Each I-cell sends inhibition to some subset of E-cells as well as to all I… 

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APA (6th Edition):

Ahn, S. (2010). Transient and Attractor Dynamics in Models for Odor Discrimination. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1280342970

Chicago Manual of Style (16th Edition):

Ahn, Sungwoo. “Transient and Attractor Dynamics in Models for Odor Discrimination.” 2010. Doctoral Dissertation, The Ohio State University. Accessed December 13, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1280342970.

MLA Handbook (7th Edition):

Ahn, Sungwoo. “Transient and Attractor Dynamics in Models for Odor Discrimination.” 2010. Web. 13 Dec 2019.

Vancouver:

Ahn S. Transient and Attractor Dynamics in Models for Odor Discrimination. [Internet] [Doctoral dissertation]. The Ohio State University; 2010. [cited 2019 Dec 13]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1280342970.

Council of Science Editors:

Ahn S. Transient and Attractor Dynamics in Models for Odor Discrimination. [Doctoral Dissertation]. The Ohio State University; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1280342970

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