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You searched for subject:(spiking neural model). Showing records 1 – 13 of 13 total matches.

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University of Waterloo

1. Choo, Feng-Xuan. The Ordinal Serial Encoding Model: Serial Memory in Spiking Neurons.

Degree: 2010, University of Waterloo

 In a world dominated by temporal order, memory capable of processing, encoding and subsequently recalling ordered information is very important. Over the decades this memory,… (more)

Subjects/Keywords: serial memory; neural engineering framework; spiking neuron model; HRR; working memory; serial-order recall

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

APA (6th Edition):

Choo, F. (2010). The Ordinal Serial Encoding Model: Serial Memory in Spiking Neurons. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/5385

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):

Choo, Feng-Xuan. “The Ordinal Serial Encoding Model: Serial Memory in Spiking Neurons.” 2010. Thesis, University of Waterloo. Accessed July 15, 2020. http://hdl.handle.net/10012/5385.

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

MLA Handbook (7th Edition):

Choo, Feng-Xuan. “The Ordinal Serial Encoding Model: Serial Memory in Spiking Neurons.” 2010. Web. 15 Jul 2020.

Vancouver:

Choo F. The Ordinal Serial Encoding Model: Serial Memory in Spiking Neurons. [Internet] [Thesis]. University of Waterloo; 2010. [cited 2020 Jul 15]. Available from: http://hdl.handle.net/10012/5385.

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

Council of Science Editors:

Choo F. The Ordinal Serial Encoding Model: Serial Memory in Spiking Neurons. [Thesis]. University of Waterloo; 2010. Available from: http://hdl.handle.net/10012/5385

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


University of Arizona

2. Liang, Zhengzhong. A Study of Adversarial Attacks Against an LSTM Language Model and the Impact of Normalization in SNN .

Degree: 2018, University of Arizona

 Artificial Neural Networks (ANNs) have been used to many application-driven fields and have been shown to be quite successful, however, some aspects of ANNs are… (more)

Subjects/Keywords: Adversarial Learning; Language Model; Long Short-Term Memory; Normalization; Spiking Neural Network

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APA (6th Edition):

Liang, Z. (2018). A Study of Adversarial Attacks Against an LSTM Language Model and the Impact of Normalization in SNN . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/630156

Chicago Manual of Style (16th Edition):

Liang, Zhengzhong. “A Study of Adversarial Attacks Against an LSTM Language Model and the Impact of Normalization in SNN .” 2018. Masters Thesis, University of Arizona. Accessed July 15, 2020. http://hdl.handle.net/10150/630156.

MLA Handbook (7th Edition):

Liang, Zhengzhong. “A Study of Adversarial Attacks Against an LSTM Language Model and the Impact of Normalization in SNN .” 2018. Web. 15 Jul 2020.

Vancouver:

Liang Z. A Study of Adversarial Attacks Against an LSTM Language Model and the Impact of Normalization in SNN . [Internet] [Masters thesis]. University of Arizona; 2018. [cited 2020 Jul 15]. Available from: http://hdl.handle.net/10150/630156.

Council of Science Editors:

Liang Z. A Study of Adversarial Attacks Against an LSTM Language Model and the Impact of Normalization in SNN . [Masters Thesis]. University of Arizona; 2018. Available from: http://hdl.handle.net/10150/630156


Universitat Pompeu Fabra

3. Esnaola Acebes, Jose M. Patterns of spike synchrony in neural field models.

Degree: Departament de Tecnologies de la Informació i les Comunicacions, 2018, Universitat Pompeu Fabra

Neural field models are phenomenological descriptions of the activity of spatially organized, recurrently coupled neuronal networks. Due to their mathematical simplicity, such models are extremely… (more)

Subjects/Keywords: Mathematical neuroscience; Spatiotemporal patterns; Oscillations; Bump states; Synchronization; Neural population; Firing rate; Population model; Spiking neurons; Quadratic-integrate-and-fire; Neural-field; Mean-field; 62

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APA (6th Edition):

Esnaola Acebes, J. M. (2018). Patterns of spike synchrony in neural field models. (Thesis). Universitat Pompeu Fabra. Retrieved from http://hdl.handle.net/10803/663871

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):

Esnaola Acebes, Jose M. “Patterns of spike synchrony in neural field models.” 2018. Thesis, Universitat Pompeu Fabra. Accessed July 15, 2020. http://hdl.handle.net/10803/663871.

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

MLA Handbook (7th Edition):

Esnaola Acebes, Jose M. “Patterns of spike synchrony in neural field models.” 2018. Web. 15 Jul 2020.

Vancouver:

Esnaola Acebes JM. Patterns of spike synchrony in neural field models. [Internet] [Thesis]. Universitat Pompeu Fabra; 2018. [cited 2020 Jul 15]. Available from: http://hdl.handle.net/10803/663871.

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

Council of Science Editors:

Esnaola Acebes JM. Patterns of spike synchrony in neural field models. [Thesis]. Universitat Pompeu Fabra; 2018. Available from: http://hdl.handle.net/10803/663871

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

4. Bobier, Bruce. The Attentional Routing Circuit: A Neural Model of Attentional Modulation and Control of Functional Connectivity.

Degree: 2011, University of Waterloo

 Several decades of physiology, imaging and psychophysics research on attention has generated an enormous amount of data describing myriad forms of attentional effects. A similar… (more)

Subjects/Keywords: Visual Attention; Spiking neuron model; Neural engineering; Attentional Routing Circuit

…implementing the abstracted model in spiking neurons it is possible to assess the neural feasibility… …the level of individual spiking neurons and neural connectivity. Several examples are… …the additional complexity that comes with a neural model. However, there are many possible… …then simulations with the spiking model can be conducted to verify whether the proposed… …characteristics of neural activity and behavioural responses, and use these findings to model these… 

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APA (6th Edition):

Bobier, B. (2011). The Attentional Routing Circuit: A Neural Model of Attentional Modulation and Control of Functional Connectivity. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/6122

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):

Bobier, Bruce. “The Attentional Routing Circuit: A Neural Model of Attentional Modulation and Control of Functional Connectivity.” 2011. Thesis, University of Waterloo. Accessed July 15, 2020. http://hdl.handle.net/10012/6122.

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

MLA Handbook (7th Edition):

Bobier, Bruce. “The Attentional Routing Circuit: A Neural Model of Attentional Modulation and Control of Functional Connectivity.” 2011. Web. 15 Jul 2020.

Vancouver:

Bobier B. The Attentional Routing Circuit: A Neural Model of Attentional Modulation and Control of Functional Connectivity. [Internet] [Thesis]. University of Waterloo; 2011. [cited 2020 Jul 15]. Available from: http://hdl.handle.net/10012/6122.

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

Council of Science Editors:

Bobier B. The Attentional Routing Circuit: A Neural Model of Attentional Modulation and Control of Functional Connectivity. [Thesis]. University of Waterloo; 2011. Available from: http://hdl.handle.net/10012/6122

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


New Jersey Institute of Technology

5. Bagheri, Alireza. Probabilistic spiking neural networks : Supervised, unsupervised and adversarial trainings.

Degree: PhD, Electrical and Computer Engineering, 2019, New Jersey Institute of Technology

Spiking Neural Networks (SNNs), or third-generation neural networks, are networks of computation units, called neurons, in which each neuron with internal analogue dynamics receives… (more)

Subjects/Keywords: Adversarial learning; Generalized linear model; Neuromorphic; Spiking neural network; Supervised learning; Unsupervised learning; Artificial Intelligence and Robotics; Computer Sciences; Electrical and Electronics

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APA (6th Edition):

Bagheri, A. (2019). Probabilistic spiking neural networks : Supervised, unsupervised and adversarial trainings. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/1397

Chicago Manual of Style (16th Edition):

Bagheri, Alireza. “Probabilistic spiking neural networks : Supervised, unsupervised and adversarial trainings.” 2019. Doctoral Dissertation, New Jersey Institute of Technology. Accessed July 15, 2020. https://digitalcommons.njit.edu/dissertations/1397.

MLA Handbook (7th Edition):

Bagheri, Alireza. “Probabilistic spiking neural networks : Supervised, unsupervised and adversarial trainings.” 2019. Web. 15 Jul 2020.

Vancouver:

Bagheri A. Probabilistic spiking neural networks : Supervised, unsupervised and adversarial trainings. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2019. [cited 2020 Jul 15]. Available from: https://digitalcommons.njit.edu/dissertations/1397.

Council of Science Editors:

Bagheri A. Probabilistic spiking neural networks : Supervised, unsupervised and adversarial trainings. [Doctoral Dissertation]. New Jersey Institute of Technology; 2019. Available from: https://digitalcommons.njit.edu/dissertations/1397

6. Shein, Mariah. A spiking neural network of state transition probabilities in model-based reinforcement learning.

Degree: 2017, University of Waterloo

 The development of the field of reinforcement learning was based on psychological studies of the instrumental conditioning of humans and other animals. Recently, reinforcement learning… (more)

Subjects/Keywords: reinforcement learning; model-based reinforcement learning; spiking neural model; state transition probability; decision task

…capable of learning complex tasks through RL. Perhaps the most detailed spiking neural model of… …spiking neural model of model-based reinforcement learning using the MDP framework has been… …thesis presents a novel spiking neural model of the state transition probabilities often used… …16 Static model diagram. Neural populations are shown as oval shapes. Elements in… …between model-free and modelbased RL. Some basic concepts related to modelling spiking neurons… 

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APA (6th Edition):

Shein, M. (2017). A spiking neural network of state transition probabilities in model-based reinforcement learning. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/12574

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):

Shein, Mariah. “A spiking neural network of state transition probabilities in model-based reinforcement learning.” 2017. Thesis, University of Waterloo. Accessed July 15, 2020. http://hdl.handle.net/10012/12574.

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

MLA Handbook (7th Edition):

Shein, Mariah. “A spiking neural network of state transition probabilities in model-based reinforcement learning.” 2017. Web. 15 Jul 2020.

Vancouver:

Shein M. A spiking neural network of state transition probabilities in model-based reinforcement learning. [Internet] [Thesis]. University of Waterloo; 2017. [cited 2020 Jul 15]. Available from: http://hdl.handle.net/10012/12574.

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

Council of Science Editors:

Shein M. A spiking neural network of state transition probabilities in model-based reinforcement learning. [Thesis]. University of Waterloo; 2017. Available from: http://hdl.handle.net/10012/12574

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

7. Dai, Jing. Reservoir-computing-based, biologically inspired artificial neural networks and their applications in power systems.

Degree: PhD, Electrical and Computer Engineering, 2013, Georgia Tech

 Computational intelligence techniques, such as artificial neural networks (ANNs), have been widely used to improve the performance of power system monitoring and control. Although inspired… (more)

Subjects/Keywords: Artificial neural network; Biologically-inspired artificial neural networks; Spiking neuron model; Power system; Neural networks (Computer science); Computational intelligence

…87 6.2.2 Izhikevich Spiking Neuron Model… …88 6.2.4 Maturing of Spiking Neural Networks… …98 6.4.3 Maturing of the Spiking Neural Network… …100 6.4.4 Firing Patterns of the Spiking Neural Network… …99 Figure 6.8: Maturing of spiking neural network… 

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APA (6th Edition):

Dai, J. (2013). Reservoir-computing-based, biologically inspired artificial neural networks and their applications in power systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/47646

Chicago Manual of Style (16th Edition):

Dai, Jing. “Reservoir-computing-based, biologically inspired artificial neural networks and their applications in power systems.” 2013. Doctoral Dissertation, Georgia Tech. Accessed July 15, 2020. http://hdl.handle.net/1853/47646.

MLA Handbook (7th Edition):

Dai, Jing. “Reservoir-computing-based, biologically inspired artificial neural networks and their applications in power systems.” 2013. Web. 15 Jul 2020.

Vancouver:

Dai J. Reservoir-computing-based, biologically inspired artificial neural networks and their applications in power systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2020 Jul 15]. Available from: http://hdl.handle.net/1853/47646.

Council of Science Editors:

Dai J. Reservoir-computing-based, biologically inspired artificial neural networks and their applications in power systems. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/47646

8. Gosmann, Jan. An Integrated Model of Contex, Short-Term, and Long-Term Memory.

Degree: 2018, University of Waterloo

 I present the context-unified encoding (CUE) model, a large-scale spiking neural network model of human memory. It combines and integrates activity-based short-term memory with weight-based… (more)

Subjects/Keywords: computational neuroscience; Neural Engineering Framework; NEF; Semantic Pointer Architecture; SPA; spiking neural network; memory; AML; association matrix learning rule; serial recall; free recall; temporal context model; TCM; ordinal serial encoding model; OSE; scale-invariant memory; Hebb repetition effect; scopolamine; WTA; winner-take-all; vector-derived transformation binding; VTB; high-dimensional representation

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APA (6th Edition):

Gosmann, J. (2018). An Integrated Model of Contex, Short-Term, and Long-Term Memory. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/13498

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):

Gosmann, Jan. “An Integrated Model of Contex, Short-Term, and Long-Term Memory.” 2018. Thesis, University of Waterloo. Accessed July 15, 2020. http://hdl.handle.net/10012/13498.

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

MLA Handbook (7th Edition):

Gosmann, Jan. “An Integrated Model of Contex, Short-Term, and Long-Term Memory.” 2018. Web. 15 Jul 2020.

Vancouver:

Gosmann J. An Integrated Model of Contex, Short-Term, and Long-Term Memory. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2020 Jul 15]. Available from: http://hdl.handle.net/10012/13498.

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

Council of Science Editors:

Gosmann J. An Integrated Model of Contex, Short-Term, and Long-Term Memory. [Thesis]. University of Waterloo; 2018. Available from: http://hdl.handle.net/10012/13498

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


Universitat Pompeu Fabra

9. Devalle, Federico. Collective phenomena in networks of spiking neurons with synaptic delays.

Degree: Departament de Tecnologies de la Informació i les Comunicacions, 2019, Universitat Pompeu Fabra

 Una característica fonamental de la dinàmica d'una xarxa neuronal és l'emergència d'oscil·lacions degudes a sincronització. L'origen d'aquestes oscil·lacions és molt sovint degut les interaccions sinàptiques… (more)

Subjects/Keywords: Mathematical neuroscience; Oscillations; Synaptic kinetics; Time delays; Synchronization; Neural population; Firing rate; Population model; Spiking neurons; Quadratic integrate-and-fire; Coupled oscillators; Mean-field; Wilson-Cowan model; Neurociència matemàtica; Oscil·lacions; Cinètica sinàptica; Retards temporals; Sincronització; Població neuronal; Model de població; Integrate-and-fire quadràtic; Oscil·ladors acoblats; Model Wilson-Cowan; 62

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APA (6th Edition):

Devalle, F. (2019). Collective phenomena in networks of spiking neurons with synaptic delays. (Thesis). Universitat Pompeu Fabra. Retrieved from http://hdl.handle.net/10803/666912

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):

Devalle, Federico. “Collective phenomena in networks of spiking neurons with synaptic delays.” 2019. Thesis, Universitat Pompeu Fabra. Accessed July 15, 2020. http://hdl.handle.net/10803/666912.

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

MLA Handbook (7th Edition):

Devalle, Federico. “Collective phenomena in networks of spiking neurons with synaptic delays.” 2019. Web. 15 Jul 2020.

Vancouver:

Devalle F. Collective phenomena in networks of spiking neurons with synaptic delays. [Internet] [Thesis]. Universitat Pompeu Fabra; 2019. [cited 2020 Jul 15]. Available from: http://hdl.handle.net/10803/666912.

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

Council of Science Editors:

Devalle F. Collective phenomena in networks of spiking neurons with synaptic delays. [Thesis]. Universitat Pompeu Fabra; 2019. Available from: http://hdl.handle.net/10803/666912

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


Université de Bordeaux I

10. Grassia, Filippo Giovanni. Silicon neural networks : implementation of cortical cells to improve the artificial-biological hybrid technique : Réseau de neurones in silico : contribution au développement de la technique hybride pour les réseaux corticaux.

Degree: Docteur es, Electronique, 2013, Université de Bordeaux I

Ces travaux ont été menés dans le cadre du projet européen FACETS-ITN. Nous avons contribué à la simulation de cellules corticales grâce à des données… (more)

Subjects/Keywords: Neurosciences computationnelles; Modèle de Hodgkin Huxley; Analyse de bifurcation; Algorithmes métaheuristiques; Systèmes neuromorphiques; Réseaux de neurones; Computational Neurosciences; Hodgkin and Huxley model; Bifurcation Analysis; Metaheuristic Algorithms; Neuromorphic Systems; Spiking Neural Networks

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APA (6th Edition):

Grassia, F. G. (2013). Silicon neural networks : implementation of cortical cells to improve the artificial-biological hybrid technique : Réseau de neurones in silico : contribution au développement de la technique hybride pour les réseaux corticaux. (Doctoral Dissertation). Université de Bordeaux I. Retrieved from http://www.theses.fr/2013BOR14748

Chicago Manual of Style (16th Edition):

Grassia, Filippo Giovanni. “Silicon neural networks : implementation of cortical cells to improve the artificial-biological hybrid technique : Réseau de neurones in silico : contribution au développement de la technique hybride pour les réseaux corticaux.” 2013. Doctoral Dissertation, Université de Bordeaux I. Accessed July 15, 2020. http://www.theses.fr/2013BOR14748.

MLA Handbook (7th Edition):

Grassia, Filippo Giovanni. “Silicon neural networks : implementation of cortical cells to improve the artificial-biological hybrid technique : Réseau de neurones in silico : contribution au développement de la technique hybride pour les réseaux corticaux.” 2013. Web. 15 Jul 2020.

Vancouver:

Grassia FG. Silicon neural networks : implementation of cortical cells to improve the artificial-biological hybrid technique : Réseau de neurones in silico : contribution au développement de la technique hybride pour les réseaux corticaux. [Internet] [Doctoral dissertation]. Université de Bordeaux I; 2013. [cited 2020 Jul 15]. Available from: http://www.theses.fr/2013BOR14748.

Council of Science Editors:

Grassia FG. Silicon neural networks : implementation of cortical cells to improve the artificial-biological hybrid technique : Réseau de neurones in silico : contribution au développement de la technique hybride pour les réseaux corticaux. [Doctoral Dissertation]. Université de Bordeaux I; 2013. Available from: http://www.theses.fr/2013BOR14748

11. Cavaco, Philip. Artificial Grammar Recognition Using Spiking Neural Networks.

Degree: Design and Engineering, 2009, Mälardalen University

  This thesis explores the feasibility of Artificial Grammar (AG) recognition using spiking neural networks. A biologically inspired minicolumn model is designed as the base… (more)

Subjects/Keywords: Artificial grammar recognition; spiking neural networks; minicolumn model; NEST; Reber grammar; Computer Sciences; Datavetenskap (datalogi)

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APA (6th Edition):

Cavaco, P. (2009). Artificial Grammar Recognition Using Spiking Neural Networks. (Thesis). Mälardalen University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-5875

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):

Cavaco, Philip. “Artificial Grammar Recognition Using Spiking Neural Networks.” 2009. Thesis, Mälardalen University. Accessed July 15, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-5875.

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

MLA Handbook (7th Edition):

Cavaco, Philip. “Artificial Grammar Recognition Using Spiking Neural Networks.” 2009. Web. 15 Jul 2020.

Vancouver:

Cavaco P. Artificial Grammar Recognition Using Spiking Neural Networks. [Internet] [Thesis]. Mälardalen University; 2009. [cited 2020 Jul 15]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-5875.

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

Council of Science Editors:

Cavaco P. Artificial Grammar Recognition Using Spiking Neural Networks. [Thesis]. Mälardalen University; 2009. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-5875

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

12. Κουτσουρίδης, Βασίλειος. Βιολογικά εμπνευσμένα νευρωνικά μοντέλα εκούσιων κινήσεων σε φυσιολογικές και παθολογικές καταστάσεις του εγκεφάλου.

Degree: 2006, National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ)

Subjects/Keywords: Νευρωνικό συσσωρευτικό μοντέλο; Λήψη αποφάσεων; Νόσος Πάρκινσον; Οφθαλμικές κινήσεις; Νευρώνας εκφόρτισης; Neural accumulator model; Decision making; Parkinson's disease; Eye movements; Spiking neuron

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APA (6th Edition):

Κουτσουρίδης, . . (2006). Βιολογικά εμπνευσμένα νευρωνικά μοντέλα εκούσιων κινήσεων σε φυσιολογικές και παθολογικές καταστάσεις του εγκεφάλου. (Thesis). National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ). Retrieved from http://hdl.handle.net/10442/hedi/22282

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):

Κουτσουρίδης, Βασίλειος. “Βιολογικά εμπνευσμένα νευρωνικά μοντέλα εκούσιων κινήσεων σε φυσιολογικές και παθολογικές καταστάσεις του εγκεφάλου.” 2006. Thesis, National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ). Accessed July 15, 2020. http://hdl.handle.net/10442/hedi/22282.

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

MLA Handbook (7th Edition):

Κουτσουρίδης, Βασίλειος. “Βιολογικά εμπνευσμένα νευρωνικά μοντέλα εκούσιων κινήσεων σε φυσιολογικές και παθολογικές καταστάσεις του εγκεφάλου.” 2006. Web. 15 Jul 2020.

Vancouver:

Κουτσουρίδης . Βιολογικά εμπνευσμένα νευρωνικά μοντέλα εκούσιων κινήσεων σε φυσιολογικές και παθολογικές καταστάσεις του εγκεφάλου. [Internet] [Thesis]. National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ); 2006. [cited 2020 Jul 15]. Available from: http://hdl.handle.net/10442/hedi/22282.

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

Council of Science Editors:

Κουτσουρίδης . Βιολογικά εμπνευσμένα νευρωνικά μοντέλα εκούσιων κινήσεων σε φυσιολογικές και παθολογικές καταστάσεις του εγκεφάλου. [Thesis]. National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ); 2006. Available from: http://hdl.handle.net/10442/hedi/22282

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


Universitat Pompeu Fabra

13. Theodoni, Panagiota. Fluctuations in perceptual decisions : cortical microcircuit dynamics mediating alternations in conscious visual perception.

Degree: Departament de Tecnologies de la Informació i les Comunicacions, 2014, Universitat Pompeu Fabra

 Les fluctuacions en les decisions perceptives sorgeixen quan el nostre cervell s'enfronta a estímuls sensorials ambigus. Per exemple, la nostra percepció alterna entre dues imatges… (more)

Subjects/Keywords: Consciousness; Consciencia; Conscious visual perception; Percepción visual consciente; Consciencia visual; Visual consciousness; Subjective visual perception; Percepción visual subjetiva; Multistable perception; Percepción multiestable; Bistable perception; Percepción biestable; Binocular rivalry; Rivalidad binocular; Computational modeling; Modelado computacional; Neural networks; Redes neuronales; Spiking networks; Redes spiking; Biophysically realistic network; Red biofísicamente realista; Attractors; Atractores; Spike- frequency adaptation; Adaptación de tasa de disparo; Mean field; Campo medio; Rate models; Modelos basados en frecuencia de disparo; Consistently reduced rate model; Modelo basado en frecuencia de disparo reducido consistentemente; Decision making; Toma de decisiones; Adaptation- related aftereffects; Repercusiones de la adaptación; Social decision making; Toma de decisiones sociales; Prefrontal cortex; Corteza prefrontal; Lateral Prefrontal cortex; Corteza prefrontal lateral; Noise correlations; Correlaciones de ruido; Population coding; Codificación poblacional; 62

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

APA (6th Edition):

Theodoni, P. (2014). Fluctuations in perceptual decisions : cortical microcircuit dynamics mediating alternations in conscious visual perception. (Thesis). Universitat Pompeu Fabra. Retrieved from http://hdl.handle.net/10803/145642

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):

Theodoni, Panagiota. “Fluctuations in perceptual decisions : cortical microcircuit dynamics mediating alternations in conscious visual perception.” 2014. Thesis, Universitat Pompeu Fabra. Accessed July 15, 2020. http://hdl.handle.net/10803/145642.

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

MLA Handbook (7th Edition):

Theodoni, Panagiota. “Fluctuations in perceptual decisions : cortical microcircuit dynamics mediating alternations in conscious visual perception.” 2014. Web. 15 Jul 2020.

Vancouver:

Theodoni P. Fluctuations in perceptual decisions : cortical microcircuit dynamics mediating alternations in conscious visual perception. [Internet] [Thesis]. Universitat Pompeu Fabra; 2014. [cited 2020 Jul 15]. Available from: http://hdl.handle.net/10803/145642.

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

Council of Science Editors:

Theodoni P. Fluctuations in perceptual decisions : cortical microcircuit dynamics mediating alternations in conscious visual perception. [Thesis]. Universitat Pompeu Fabra; 2014. Available from: http://hdl.handle.net/10803/145642

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

.