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You searched for subject:(STDP). Showing records 1 – 30 of 48 total matches.

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University of Edinburgh

1. Alevizos, Ilias. Implementation of neural plasticity mechanisms on reconfigurable hardware for robot learning.

Degree: 2011, University of Edinburgh

 It is often assumed that insects are “primitive” animals, without the ability to exhibit complex learning behaviour. Fortunately, their tiny brains quite often surprise us… (more)

Subjects/Keywords: insect brain; memory; learning; STDP; FPGA; biorobotics

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APA (6th Edition):

Alevizos, I. (2011). Implementation of neural plasticity mechanisms on reconfigurable hardware for robot learning. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/5778

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):

Alevizos, Ilias. “Implementation of neural plasticity mechanisms on reconfigurable hardware for robot learning.” 2011. Thesis, University of Edinburgh. Accessed November 21, 2019. http://hdl.handle.net/1842/5778.

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

MLA Handbook (7th Edition):

Alevizos, Ilias. “Implementation of neural plasticity mechanisms on reconfigurable hardware for robot learning.” 2011. Web. 21 Nov 2019.

Vancouver:

Alevizos I. Implementation of neural plasticity mechanisms on reconfigurable hardware for robot learning. [Internet] [Thesis]. University of Edinburgh; 2011. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/1842/5778.

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

Council of Science Editors:

Alevizos I. Implementation of neural plasticity mechanisms on reconfigurable hardware for robot learning. [Thesis]. University of Edinburgh; 2011. Available from: http://hdl.handle.net/1842/5778

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


Université Paris-Sud – Paris XI

2. Cabaret, Théo. Etude, réalisation et caractérisation de memristors organiques électro-greffés en tant que nanosynapses de circuits neuro-inspirés : Study, fabrication and characterization of electro-grafted organic memristors as nanosynapses for neuro inspired circuits.

Degree: Docteur es, Physique‎, 2014, Université Paris-Sud – Paris XI

Cette thèse s'inscrit dans le contexte de l'étude des circuits neuromorphiques utilisant des dispositifs memristifs comme synapses. Son objectif principal est d'évaluer les mérites d'une… (more)

Subjects/Keywords: Memristors organiques; Mémoires résistives; Circuit neuro-inspiré; STDP; Nanotubes de carbone; Organic memristors; Resistive memory; Neuro inspired circuit; STDP; Carbon nanotubes

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APA (6th Edition):

Cabaret, T. (2014). Etude, réalisation et caractérisation de memristors organiques électro-greffés en tant que nanosynapses de circuits neuro-inspirés : Study, fabrication and characterization of electro-grafted organic memristors as nanosynapses for neuro inspired circuits. (Doctoral Dissertation). Université Paris-Sud – Paris XI. Retrieved from http://www.theses.fr/2014PA112168

Chicago Manual of Style (16th Edition):

Cabaret, Théo. “Etude, réalisation et caractérisation de memristors organiques électro-greffés en tant que nanosynapses de circuits neuro-inspirés : Study, fabrication and characterization of electro-grafted organic memristors as nanosynapses for neuro inspired circuits.” 2014. Doctoral Dissertation, Université Paris-Sud – Paris XI. Accessed November 21, 2019. http://www.theses.fr/2014PA112168.

MLA Handbook (7th Edition):

Cabaret, Théo. “Etude, réalisation et caractérisation de memristors organiques électro-greffés en tant que nanosynapses de circuits neuro-inspirés : Study, fabrication and characterization of electro-grafted organic memristors as nanosynapses for neuro inspired circuits.” 2014. Web. 21 Nov 2019.

Vancouver:

Cabaret T. Etude, réalisation et caractérisation de memristors organiques électro-greffés en tant que nanosynapses de circuits neuro-inspirés : Study, fabrication and characterization of electro-grafted organic memristors as nanosynapses for neuro inspired circuits. [Internet] [Doctoral dissertation]. Université Paris-Sud – Paris XI; 2014. [cited 2019 Nov 21]. Available from: http://www.theses.fr/2014PA112168.

Council of Science Editors:

Cabaret T. Etude, réalisation et caractérisation de memristors organiques électro-greffés en tant que nanosynapses de circuits neuro-inspirés : Study, fabrication and characterization of electro-grafted organic memristors as nanosynapses for neuro inspired circuits. [Doctoral Dissertation]. Université Paris-Sud – Paris XI; 2014. Available from: http://www.theses.fr/2014PA112168


Texas A&M University

3. Thulasiraman, Kumaran. Enhanced Reinforcement Learning with Attentional Feedback and Temporally Attenuated Distal Rewards.

Degree: 2015, Texas A&M University

 This thesis presents a new reinforcement learning mechanism suitable to be employed in artificial spiking neural networks of leaky integrate-and-fire (LIF) or Izhikevich neurons. The… (more)

Subjects/Keywords: reinforcement learning; spiking neural networks; dopamine-modulated; STDP

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APA (6th Edition):

Thulasiraman, K. (2015). Enhanced Reinforcement Learning with Attentional Feedback and Temporally Attenuated Distal Rewards. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155519

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):

Thulasiraman, Kumaran. “Enhanced Reinforcement Learning with Attentional Feedback and Temporally Attenuated Distal Rewards.” 2015. Thesis, Texas A&M University. Accessed November 21, 2019. http://hdl.handle.net/1969.1/155519.

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

MLA Handbook (7th Edition):

Thulasiraman, Kumaran. “Enhanced Reinforcement Learning with Attentional Feedback and Temporally Attenuated Distal Rewards.” 2015. Web. 21 Nov 2019.

Vancouver:

Thulasiraman K. Enhanced Reinforcement Learning with Attentional Feedback and Temporally Attenuated Distal Rewards. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/1969.1/155519.

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

Council of Science Editors:

Thulasiraman K. Enhanced Reinforcement Learning with Attentional Feedback and Temporally Attenuated Distal Rewards. [Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155519

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


NSYSU

4. Wang, Zhi-yang. Study on Applications of LiSiOx Thin-Film Resistance Random Access Memory as Synapse in Neuromorphic Systems.

Degree: Master, Materials and Optoelectronic Science, 2014, NSYSU

 The information stored in human brain is different from computer, it storages and transmits messages through analog signal instead of digital signal. In this study,… (more)

Subjects/Keywords: RRAM; CRS; synaptic plasticity; STDP; STM; LTM; analog storage; lithium silicate

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APA (6th Edition):

Wang, Z. (2014). Study on Applications of LiSiOx Thin-Film Resistance Random Access Memory as Synapse in Neuromorphic Systems. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0609114-133231

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):

Wang, Zhi-yang. “Study on Applications of LiSiOx Thin-Film Resistance Random Access Memory as Synapse in Neuromorphic Systems.” 2014. Thesis, NSYSU. Accessed November 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0609114-133231.

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

MLA Handbook (7th Edition):

Wang, Zhi-yang. “Study on Applications of LiSiOx Thin-Film Resistance Random Access Memory as Synapse in Neuromorphic Systems.” 2014. Web. 21 Nov 2019.

Vancouver:

Wang Z. Study on Applications of LiSiOx Thin-Film Resistance Random Access Memory as Synapse in Neuromorphic Systems. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 Nov 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0609114-133231.

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

Council of Science Editors:

Wang Z. Study on Applications of LiSiOx Thin-Film Resistance Random Access Memory as Synapse in Neuromorphic Systems. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0609114-133231

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


University of Sydney

5. Palmer, John H.C. Propagating spike waves in neural circuits: formation mechanisms and functional roles .

Degree: 2016, University of Sydney

 Propagating spike waves are a ubiquitous type of activity within the brain. However, both their formation mechanisms and functional roles remain largely unknown. In this… (more)

Subjects/Keywords: spiking neural circuits; plasticity; STDP; associative learning; spike waves

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APA (6th Edition):

Palmer, J. H. C. (2016). Propagating spike waves in neural circuits: formation mechanisms and functional roles . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/16758

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):

Palmer, John H C. “Propagating spike waves in neural circuits: formation mechanisms and functional roles .” 2016. Thesis, University of Sydney. Accessed November 21, 2019. http://hdl.handle.net/2123/16758.

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

MLA Handbook (7th Edition):

Palmer, John H C. “Propagating spike waves in neural circuits: formation mechanisms and functional roles .” 2016. Web. 21 Nov 2019.

Vancouver:

Palmer JHC. Propagating spike waves in neural circuits: formation mechanisms and functional roles . [Internet] [Thesis]. University of Sydney; 2016. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/2123/16758.

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

Council of Science Editors:

Palmer JHC. Propagating spike waves in neural circuits: formation mechanisms and functional roles . [Thesis]. University of Sydney; 2016. Available from: http://hdl.handle.net/2123/16758

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

6. Drake, Kolton T. Biomimetic Application of Ion-Conducting-Based Memristive Devices in Spike-Timing-Dependent-Plasticity.

Degree: 2015, Boise State University

 The design and synthesis of artificial learning systems has been aided by the study of biological learning systems. Classic biological learning is driven by the… (more)

Subjects/Keywords: memristor; neuromorphic; STDP; biomimetics; Electrical and Computer Engineering

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APA (6th Edition):

Drake, K. T. (2015). Biomimetic Application of Ion-Conducting-Based Memristive Devices in Spike-Timing-Dependent-Plasticity. (Thesis). Boise State University. Retrieved from https://scholarworks.boisestate.edu/td/1001

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):

Drake, Kolton T. “Biomimetic Application of Ion-Conducting-Based Memristive Devices in Spike-Timing-Dependent-Plasticity.” 2015. Thesis, Boise State University. Accessed November 21, 2019. https://scholarworks.boisestate.edu/td/1001.

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

MLA Handbook (7th Edition):

Drake, Kolton T. “Biomimetic Application of Ion-Conducting-Based Memristive Devices in Spike-Timing-Dependent-Plasticity.” 2015. Web. 21 Nov 2019.

Vancouver:

Drake KT. Biomimetic Application of Ion-Conducting-Based Memristive Devices in Spike-Timing-Dependent-Plasticity. [Internet] [Thesis]. Boise State University; 2015. [cited 2019 Nov 21]. Available from: https://scholarworks.boisestate.edu/td/1001.

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

Council of Science Editors:

Drake KT. Biomimetic Application of Ion-Conducting-Based Memristive Devices in Spike-Timing-Dependent-Plasticity. [Thesis]. Boise State University; 2015. Available from: https://scholarworks.boisestate.edu/td/1001

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


University of Oxford

7. Evans, Benjamin D. Learning transformation-invariant visual representations in spiking neural networks.

Degree: PhD, 2012, University of Oxford

 This thesis aims to understand the learning mechanisms which underpin the process of visual object recognition in the primate ventral visual system. The computational crux… (more)

Subjects/Keywords: Computational neuroscience; Neuroscience; Object Recognition; STDP; Spiking Neural Network; Visual System

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APA (6th Edition):

Evans, B. D. (2012). Learning transformation-invariant visual representations in spiking neural networks. (Doctoral Dissertation). University of Oxford. Retrieved from https://ora.ox.ac.uk/objects/uuid:15bdf771-de28-400e-a1a7-82228c7f01e4 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730620

Chicago Manual of Style (16th Edition):

Evans, Benjamin D. “Learning transformation-invariant visual representations in spiking neural networks.” 2012. Doctoral Dissertation, University of Oxford. Accessed November 21, 2019. https://ora.ox.ac.uk/objects/uuid:15bdf771-de28-400e-a1a7-82228c7f01e4 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730620.

MLA Handbook (7th Edition):

Evans, Benjamin D. “Learning transformation-invariant visual representations in spiking neural networks.” 2012. Web. 21 Nov 2019.

Vancouver:

Evans BD. Learning transformation-invariant visual representations in spiking neural networks. [Internet] [Doctoral dissertation]. University of Oxford; 2012. [cited 2019 Nov 21]. Available from: https://ora.ox.ac.uk/objects/uuid:15bdf771-de28-400e-a1a7-82228c7f01e4 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730620.

Council of Science Editors:

Evans BD. Learning transformation-invariant visual representations in spiking neural networks. [Doctoral Dissertation]. University of Oxford; 2012. Available from: https://ora.ox.ac.uk/objects/uuid:15bdf771-de28-400e-a1a7-82228c7f01e4 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730620


University of Toronto

8. Himberger, Kevin D. A Spiking Circuit Model of Sequence Learning.

Degree: 2015, University of Toronto

The ability to integrate information over time is fundamental to cognition. Any sensory experience, from object recognition to speech comprehension, utilizes this ability. Contrary to… (more)

Subjects/Keywords: model; plasticity; process memory; sequence learning; spiking; STDP; 0317

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APA (6th Edition):

Himberger, K. D. (2015). A Spiking Circuit Model of Sequence Learning. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/70418

Chicago Manual of Style (16th Edition):

Himberger, Kevin D. “A Spiking Circuit Model of Sequence Learning.” 2015. Masters Thesis, University of Toronto. Accessed November 21, 2019. http://hdl.handle.net/1807/70418.

MLA Handbook (7th Edition):

Himberger, Kevin D. “A Spiking Circuit Model of Sequence Learning.” 2015. Web. 21 Nov 2019.

Vancouver:

Himberger KD. A Spiking Circuit Model of Sequence Learning. [Internet] [Masters thesis]. University of Toronto; 2015. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/1807/70418.

Council of Science Editors:

Himberger KD. A Spiking Circuit Model of Sequence Learning. [Masters Thesis]. University of Toronto; 2015. Available from: http://hdl.handle.net/1807/70418

9. Martinez, Regis. Dynamique des systèmes cognitifs et des systèmes complexes : étude du rôle des délais de transmission de l’information : Dynamics of cognitive systems and complex systems : study of the role of information transmission delays.

Degree: Docteur es, Informatique, 2011, Université Lumière – Lyon II

La représentation de l’information mnésique est toujours une question d’intérêt majeur en neurobiologie, mais également, du point de vue informatique, en apprentissage artificiel. Dans certains… (more)

Subjects/Keywords: Systèmes complexes; Réseaux de neurones artificiels; Délais axonaux; Polychronisation; STDP; Apprentissage artificiel; Complex systems; Artificial neuron networks; Axonal delays; Polychronization; STDP; Machine learning

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APA (6th Edition):

Martinez, R. (2011). Dynamique des systèmes cognitifs et des systèmes complexes : étude du rôle des délais de transmission de l’information : Dynamics of cognitive systems and complex systems : study of the role of information transmission delays. (Doctoral Dissertation). Université Lumière – Lyon II. Retrieved from http://www.theses.fr/2011LYO20054

Chicago Manual of Style (16th Edition):

Martinez, Regis. “Dynamique des systèmes cognitifs et des systèmes complexes : étude du rôle des délais de transmission de l’information : Dynamics of cognitive systems and complex systems : study of the role of information transmission delays.” 2011. Doctoral Dissertation, Université Lumière – Lyon II. Accessed November 21, 2019. http://www.theses.fr/2011LYO20054.

MLA Handbook (7th Edition):

Martinez, Regis. “Dynamique des systèmes cognitifs et des systèmes complexes : étude du rôle des délais de transmission de l’information : Dynamics of cognitive systems and complex systems : study of the role of information transmission delays.” 2011. Web. 21 Nov 2019.

Vancouver:

Martinez R. Dynamique des systèmes cognitifs et des systèmes complexes : étude du rôle des délais de transmission de l’information : Dynamics of cognitive systems and complex systems : study of the role of information transmission delays. [Internet] [Doctoral dissertation]. Université Lumière – Lyon II; 2011. [cited 2019 Nov 21]. Available from: http://www.theses.fr/2011LYO20054.

Council of Science Editors:

Martinez R. Dynamique des systèmes cognitifs et des systèmes complexes : étude du rôle des délais de transmission de l’information : Dynamics of cognitive systems and complex systems : study of the role of information transmission delays. [Doctoral Dissertation]. Université Lumière – Lyon II; 2011. Available from: http://www.theses.fr/2011LYO20054


Université de Bordeaux I

10. Daouzli, Adel Mohamed. Systèmes neuromorphiques : étude et implantation de fonctions d'apprentissage et de plasticité : The oulipian ''translator'' : the medieval library of Jacques Roubaud.

Degree: Docteur es, Electronique, 2009, Université de Bordeaux I

Dans ces travaux de thèse, nous nous sommes intéressés à l'influence du bruit synaptique sur la plasticité synaptique dans un réseau de neurones biophysiquement réalistes.… (more)

Subjects/Keywords: Systèmes neuromorphiques; Hodgkin et Huxley; Réseaux de neurones; Plasticité; STDP; PyNN; Neurosciences computationnelles; Neuromorphic systems; Hodgkin and Huxley model; Neural networks; Plasticity; STDP; PyNN; Computational neurosciences

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APA (6th Edition):

Daouzli, A. M. (2009). Systèmes neuromorphiques : étude et implantation de fonctions d'apprentissage et de plasticité : The oulipian ''translator'' : the medieval library of Jacques Roubaud. (Doctoral Dissertation). Université de Bordeaux I. Retrieved from http://www.theses.fr/2009BOR13806

Chicago Manual of Style (16th Edition):

Daouzli, Adel Mohamed. “Systèmes neuromorphiques : étude et implantation de fonctions d'apprentissage et de plasticité : The oulipian ''translator'' : the medieval library of Jacques Roubaud.” 2009. Doctoral Dissertation, Université de Bordeaux I. Accessed November 21, 2019. http://www.theses.fr/2009BOR13806.

MLA Handbook (7th Edition):

Daouzli, Adel Mohamed. “Systèmes neuromorphiques : étude et implantation de fonctions d'apprentissage et de plasticité : The oulipian ''translator'' : the medieval library of Jacques Roubaud.” 2009. Web. 21 Nov 2019.

Vancouver:

Daouzli AM. Systèmes neuromorphiques : étude et implantation de fonctions d'apprentissage et de plasticité : The oulipian ''translator'' : the medieval library of Jacques Roubaud. [Internet] [Doctoral dissertation]. Université de Bordeaux I; 2009. [cited 2019 Nov 21]. Available from: http://www.theses.fr/2009BOR13806.

Council of Science Editors:

Daouzli AM. Systèmes neuromorphiques : étude et implantation de fonctions d'apprentissage et de plasticité : The oulipian ''translator'' : the medieval library of Jacques Roubaud. [Doctoral Dissertation]. Université de Bordeaux I; 2009. Available from: http://www.theses.fr/2009BOR13806

11. Lecerf, Gwendal. Développement d'un réseau de neurones impulsionnels sur silicium à synapses memristives : Development of a silicon spiking neural network with memristives synapses.

Degree: Docteur es, Electronique, 2014, Bordeaux

Durant ces trois années de doctorat, financées par le projet ANR MHANN (MemristiveHardware Analog Neural Network), nous nous sommes intéressés au développement d’une nouvelle architecture… (more)

Subjects/Keywords: Conception Analogique; Réseau de Neurones impulsionnels; Memristor; Résistance Memristive; Apprentissage; STDP; Analog Circuit Conception; Spiking Neural Network; Memristor,; Memristive Resistor; Learning; STDP

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APA (6th Edition):

Lecerf, G. (2014). Développement d'un réseau de neurones impulsionnels sur silicium à synapses memristives : Development of a silicon spiking neural network with memristives synapses. (Doctoral Dissertation). Bordeaux. Retrieved from http://www.theses.fr/2014BORD0219

Chicago Manual of Style (16th Edition):

Lecerf, Gwendal. “Développement d'un réseau de neurones impulsionnels sur silicium à synapses memristives : Development of a silicon spiking neural network with memristives synapses.” 2014. Doctoral Dissertation, Bordeaux. Accessed November 21, 2019. http://www.theses.fr/2014BORD0219.

MLA Handbook (7th Edition):

Lecerf, Gwendal. “Développement d'un réseau de neurones impulsionnels sur silicium à synapses memristives : Development of a silicon spiking neural network with memristives synapses.” 2014. Web. 21 Nov 2019.

Vancouver:

Lecerf G. Développement d'un réseau de neurones impulsionnels sur silicium à synapses memristives : Development of a silicon spiking neural network with memristives synapses. [Internet] [Doctoral dissertation]. Bordeaux; 2014. [cited 2019 Nov 21]. Available from: http://www.theses.fr/2014BORD0219.

Council of Science Editors:

Lecerf G. Développement d'un réseau de neurones impulsionnels sur silicium à synapses memristives : Development of a silicon spiking neural network with memristives synapses. [Doctoral Dissertation]. Bordeaux; 2014. Available from: http://www.theses.fr/2014BORD0219


Vilnius University

12. Feiza, Vidmantas. Neurono sinapsių plastiškumo modeliavimas.

Degree: Master, 2014, Vilnius University

Tobulėjanti pavienių nervinių ląstelių parametrų matavimo technika suteikia milžiniškus kiekius informacijos. Kad apdoroti tokias gausias duomenų apimtis, būtina taikyti sudėtingus duomenų apdorojimo metodus pasitelkiant galingas… (more)

Subjects/Keywords: Synapses; Synaptic plasticity; STDP; Temporal window; Input discrimination; Modeling; Sinapsių plastiškumas; Modeliavimas; Sinapsės; Piramidinis neuronas

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APA (6th Edition):

Feiza, Vidmantas. (2014). Neurono sinapsių plastiškumo modeliavimas. (Masters Thesis). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20141223_175459-67418 ;

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

Chicago Manual of Style (16th Edition):

Feiza, Vidmantas. “Neurono sinapsių plastiškumo modeliavimas.” 2014. Masters Thesis, Vilnius University. Accessed November 21, 2019. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20141223_175459-67418 ;.

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

MLA Handbook (7th Edition):

Feiza, Vidmantas. “Neurono sinapsių plastiškumo modeliavimas.” 2014. Web. 21 Nov 2019.

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

Vancouver:

Feiza, Vidmantas. Neurono sinapsių plastiškumo modeliavimas. [Internet] [Masters thesis]. Vilnius University; 2014. [cited 2019 Nov 21]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20141223_175459-67418 ;.

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

Council of Science Editors:

Feiza, Vidmantas. Neurono sinapsių plastiškumo modeliavimas. [Masters Thesis]. Vilnius University; 2014. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20141223_175459-67418 ;

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


NSYSU

13. Su, Wan-ching. Study on the Bionic Synapse Application of Lithium aluminum oxide Non-Volatile Resistance Random Access Memory.

Degree: Master, Mechanical and Electro-Mechanical Engineering, 2015, NSYSU

 Since long time ago, the nature being has been the source of humanâs senses of invention principles productions, in which bionic technology has been well… (more)

Subjects/Keywords: Neural Networks; Lithium Aluminum Oxide; STDP; Multi-Bits Access; Multi-Filament; RRAM

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APA (6th Edition):

Su, W. (2015). Study on the Bionic Synapse Application of Lithium aluminum oxide Non-Volatile Resistance Random Access Memory. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0317115-123644

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):

Su, Wan-ching. “Study on the Bionic Synapse Application of Lithium aluminum oxide Non-Volatile Resistance Random Access Memory.” 2015. Thesis, NSYSU. Accessed November 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0317115-123644.

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

MLA Handbook (7th Edition):

Su, Wan-ching. “Study on the Bionic Synapse Application of Lithium aluminum oxide Non-Volatile Resistance Random Access Memory.” 2015. Web. 21 Nov 2019.

Vancouver:

Su W. Study on the Bionic Synapse Application of Lithium aluminum oxide Non-Volatile Resistance Random Access Memory. [Internet] [Thesis]. NSYSU; 2015. [cited 2019 Nov 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0317115-123644.

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

Council of Science Editors:

Su W. Study on the Bionic Synapse Application of Lithium aluminum oxide Non-Volatile Resistance Random Access Memory. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0317115-123644

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


University of Plymouth

14. Humble, James. Learning, self-organisation and homeostasis in spiking neuron networks using spike-timing dependent plasticity.

Degree: PhD, 2013, University of Plymouth

 Spike-timing dependent plasticity is a learning mechanism used extensively within neural modelling. The learning rule has been shown to allow a neuron to find the… (more)

Subjects/Keywords: 006.3; spike-timing dependent plasticity; STDP; learning; spiking neuron; neural network; homeostasis; self-organisation

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APA (6th Edition):

Humble, J. (2013). Learning, self-organisation and homeostasis in spiking neuron networks using spike-timing dependent plasticity. (Doctoral Dissertation). University of Plymouth. Retrieved from http://hdl.handle.net/10026.1/1499

Chicago Manual of Style (16th Edition):

Humble, James. “Learning, self-organisation and homeostasis in spiking neuron networks using spike-timing dependent plasticity.” 2013. Doctoral Dissertation, University of Plymouth. Accessed November 21, 2019. http://hdl.handle.net/10026.1/1499.

MLA Handbook (7th Edition):

Humble, James. “Learning, self-organisation and homeostasis in spiking neuron networks using spike-timing dependent plasticity.” 2013. Web. 21 Nov 2019.

Vancouver:

Humble J. Learning, self-organisation and homeostasis in spiking neuron networks using spike-timing dependent plasticity. [Internet] [Doctoral dissertation]. University of Plymouth; 2013. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/10026.1/1499.

Council of Science Editors:

Humble J. Learning, self-organisation and homeostasis in spiking neuron networks using spike-timing dependent plasticity. [Doctoral Dissertation]. University of Plymouth; 2013. Available from: http://hdl.handle.net/10026.1/1499


Penn State University

15. Miller, Aaron James. Characterization of Emergent Synaptic Topologies in Noisy Neural Networks.

Degree: PhD, Physics, 2012, Penn State University

 Learned behaviors are one of the key contributors to an animal's ultimate survival. It is widely believed that the brain's microcircuitry undergoes structural changes when… (more)

Subjects/Keywords: learning; STDP; neural network; synaptic topology; synfire chain; event-driven simulation; emergent phenomena; complex network

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APA (6th Edition):

Miller, A. J. (2012). Characterization of Emergent Synaptic Topologies in Noisy Neural Networks. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/14822

Chicago Manual of Style (16th Edition):

Miller, Aaron James. “Characterization of Emergent Synaptic Topologies in Noisy Neural Networks.” 2012. Doctoral Dissertation, Penn State University. Accessed November 21, 2019. https://etda.libraries.psu.edu/catalog/14822.

MLA Handbook (7th Edition):

Miller, Aaron James. “Characterization of Emergent Synaptic Topologies in Noisy Neural Networks.” 2012. Web. 21 Nov 2019.

Vancouver:

Miller AJ. Characterization of Emergent Synaptic Topologies in Noisy Neural Networks. [Internet] [Doctoral dissertation]. Penn State University; 2012. [cited 2019 Nov 21]. Available from: https://etda.libraries.psu.edu/catalog/14822.

Council of Science Editors:

Miller AJ. Characterization of Emergent Synaptic Topologies in Noisy Neural Networks. [Doctoral Dissertation]. Penn State University; 2012. Available from: https://etda.libraries.psu.edu/catalog/14822


University of Manchester

16. Jin, Xin. Parallel simulation of neural networks on SpiNNaker universal neuromorphic hardware.

Degree: PhD, 2010, University of Manchester

 Artificial neural networks have shown great potential and have attracted much research interest. One problem faced when simulating such networks is speed. As the number… (more)

Subjects/Keywords: 004.01; SpiNNkaer; Spiking neural network; Parallel simulation; Izhikevich; ARM; Real-time; PDP; MLP; Backpropagation; STDP

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APA (6th Edition):

Jin, X. (2010). Parallel simulation of neural networks on SpiNNaker universal neuromorphic hardware. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/parallel-simulation-of-neural-networks-on-spinnaker-universal-neuromorphic-hardware(d6b8b72a-63c4-44ee-963a-ae349b0e379c).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.518472

Chicago Manual of Style (16th Edition):

Jin, Xin. “Parallel simulation of neural networks on SpiNNaker universal neuromorphic hardware.” 2010. Doctoral Dissertation, University of Manchester. Accessed November 21, 2019. https://www.research.manchester.ac.uk/portal/en/theses/parallel-simulation-of-neural-networks-on-spinnaker-universal-neuromorphic-hardware(d6b8b72a-63c4-44ee-963a-ae349b0e379c).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.518472.

MLA Handbook (7th Edition):

Jin, Xin. “Parallel simulation of neural networks on SpiNNaker universal neuromorphic hardware.” 2010. Web. 21 Nov 2019.

Vancouver:

Jin X. Parallel simulation of neural networks on SpiNNaker universal neuromorphic hardware. [Internet] [Doctoral dissertation]. University of Manchester; 2010. [cited 2019 Nov 21]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/parallel-simulation-of-neural-networks-on-spinnaker-universal-neuromorphic-hardware(d6b8b72a-63c4-44ee-963a-ae349b0e379c).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.518472.

Council of Science Editors:

Jin X. Parallel simulation of neural networks on SpiNNaker universal neuromorphic hardware. [Doctoral Dissertation]. University of Manchester; 2010. Available from: https://www.research.manchester.ac.uk/portal/en/theses/parallel-simulation-of-neural-networks-on-spinnaker-universal-neuromorphic-hardware(d6b8b72a-63c4-44ee-963a-ae349b0e379c).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.518472

17. Skorheim, Steven W. An Exploration of the Role of Cellular Neuroplasticity in Large Scale Models of Biological Neural Networks.

Degree: Neuroscience, 2014, University of California – Riverside

 Cellular level learning is vital to almost all brain function, and extensive homeostatic plasticity is required to maintain brain functionality. While much has been learned… (more)

Subjects/Keywords: Neurosciences; Audio; Learning; Model; STDP

…a small subset. Spike time dependent plasticity (STDP) [4], as… …sparsely active networks. STDP on its own faces a number of limitations. It is by its nature an… …result of the network activity. STDP is prone to run away synaptic dynamics when stronger… …in 1 chapter 2, it is still possible to use experience dependent non-rewarded STDP to… …events, rewarded STDP stores the changes as traces that are activated when and if a reward… 

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APA (6th Edition):

Skorheim, S. W. (2014). An Exploration of the Role of Cellular Neuroplasticity in Large Scale Models of Biological Neural Networks. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/24z3f4g1

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):

Skorheim, Steven W. “An Exploration of the Role of Cellular Neuroplasticity in Large Scale Models of Biological Neural Networks.” 2014. Thesis, University of California – Riverside. Accessed November 21, 2019. http://www.escholarship.org/uc/item/24z3f4g1.

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

MLA Handbook (7th Edition):

Skorheim, Steven W. “An Exploration of the Role of Cellular Neuroplasticity in Large Scale Models of Biological Neural Networks.” 2014. Web. 21 Nov 2019.

Vancouver:

Skorheim SW. An Exploration of the Role of Cellular Neuroplasticity in Large Scale Models of Biological Neural Networks. [Internet] [Thesis]. University of California – Riverside; 2014. [cited 2019 Nov 21]. Available from: http://www.escholarship.org/uc/item/24z3f4g1.

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

Council of Science Editors:

Skorheim SW. An Exploration of the Role of Cellular Neuroplasticity in Large Scale Models of Biological Neural Networks. [Thesis]. University of California – Riverside; 2014. Available from: http://www.escholarship.org/uc/item/24z3f4g1

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


University of Manchester

18. Jin, Xin. Parallel Simulation of Neural Networks on SpiNNaker Universal Neuromorphic Hardware.

Degree: 2010, University of Manchester

 Artificial neural networks have shown great potential and have attracted much research interest. One problem faced when simulating such networks is speed. As the number… (more)

Subjects/Keywords: SpiNNkaer; Spiking neural network; Parallel simulation; Izhikevich; ARM; Real-time; PDP; MLP; Backpropagation; STDP

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

APA (6th Edition):

Jin, X. (2010). Parallel Simulation of Neural Networks on SpiNNaker Universal Neuromorphic Hardware. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:85336

Chicago Manual of Style (16th Edition):

Jin, Xin. “Parallel Simulation of Neural Networks on SpiNNaker Universal Neuromorphic Hardware.” 2010. Doctoral Dissertation, University of Manchester. Accessed November 21, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:85336.

MLA Handbook (7th Edition):

Jin, Xin. “Parallel Simulation of Neural Networks on SpiNNaker Universal Neuromorphic Hardware.” 2010. Web. 21 Nov 2019.

Vancouver:

Jin X. Parallel Simulation of Neural Networks on SpiNNaker Universal Neuromorphic Hardware. [Internet] [Doctoral dissertation]. University of Manchester; 2010. [cited 2019 Nov 21]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:85336.

Council of Science Editors:

Jin X. Parallel Simulation of Neural Networks on SpiNNaker Universal Neuromorphic Hardware. [Doctoral Dissertation]. University of Manchester; 2010. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:85336


University of Melbourne

19. Abi-Samra, Jad. A generic framework for the simulation of biologically plausible spiking neural networks on graphics processors.

Degree: 2011, University of Melbourne

 The study of the structure and functionality of the brain has been ardently investigated, as the implications of such research may aid in the treatment… (more)

Subjects/Keywords: GPGPU; high performance computing; neural networks; STDP plasticity; parallel computing; multi-GPU

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APA (6th Edition):

Abi-Samra, J. (2011). A generic framework for the simulation of biologically plausible spiking neural networks on graphics processors. (Masters Thesis). University of Melbourne. Retrieved from http://hdl.handle.net/11343/37186

Chicago Manual of Style (16th Edition):

Abi-Samra, Jad. “A generic framework for the simulation of biologically plausible spiking neural networks on graphics processors.” 2011. Masters Thesis, University of Melbourne. Accessed November 21, 2019. http://hdl.handle.net/11343/37186.

MLA Handbook (7th Edition):

Abi-Samra, Jad. “A generic framework for the simulation of biologically plausible spiking neural networks on graphics processors.” 2011. Web. 21 Nov 2019.

Vancouver:

Abi-Samra J. A generic framework for the simulation of biologically plausible spiking neural networks on graphics processors. [Internet] [Masters thesis]. University of Melbourne; 2011. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/11343/37186.

Council of Science Editors:

Abi-Samra J. A generic framework for the simulation of biologically plausible spiking neural networks on graphics processors. [Masters Thesis]. University of Melbourne; 2011. Available from: http://hdl.handle.net/11343/37186


University of Edinburgh

20. 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 November 21, 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. 21 Nov 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 Nov 21]. 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


Arizona State University

21. Mahalanabis, Debayan. Multilevel Resistance Programming in Conductive Bridge Resistive Memory.

Degree: Electrical Engineering, 2015, Arizona State University

 This work focuses on the existence of multiple resistance states in a type of emerging non-volatile resistive memory device known commonly as Programmable Metallization Cell… (more)

Subjects/Keywords: Electrical engineering; Nanotechnology; CBRAM; Compact Model; Neuromorphic Computing; Non-volatile Memory; Resistive Memory; STDP

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APA (6th Edition):

Mahalanabis, D. (2015). Multilevel Resistance Programming in Conductive Bridge Resistive Memory. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/36417

Chicago Manual of Style (16th Edition):

Mahalanabis, Debayan. “Multilevel Resistance Programming in Conductive Bridge Resistive Memory.” 2015. Doctoral Dissertation, Arizona State University. Accessed November 21, 2019. http://repository.asu.edu/items/36417.

MLA Handbook (7th Edition):

Mahalanabis, Debayan. “Multilevel Resistance Programming in Conductive Bridge Resistive Memory.” 2015. Web. 21 Nov 2019.

Vancouver:

Mahalanabis D. Multilevel Resistance Programming in Conductive Bridge Resistive Memory. [Internet] [Doctoral dissertation]. Arizona State University; 2015. [cited 2019 Nov 21]. Available from: http://repository.asu.edu/items/36417.

Council of Science Editors:

Mahalanabis D. Multilevel Resistance Programming in Conductive Bridge Resistive Memory. [Doctoral Dissertation]. Arizona State University; 2015. Available from: http://repository.asu.edu/items/36417

22. O'Brien, Michael John. The Role of Short-Term Synaptic Plasticity in Neural Network Spiking Dynamics and in the Learning of Multiple Distal Rewards.

Degree: Mathematics, 2013, UCLA

 In this thesis, we assess the role of short-term synaptic plasticity in an artificial neuralnetwork constructed to emulate two important brain functions: self-sustained activity andsignal… (more)

Subjects/Keywords: Mathematics; Neurosciences; ARG-STDP; Distal Rewards; Reinforcement Learning; R-STDP; STDP; STP

…50 4.3.1 Reward Modulated STDP . . . . . . . . . . . . . . . . . . . . . . . . 51 4.3.2… …R-STDP with Attenuated Reward Gating . . . . . . . . . . . . . . . 52 4.4 Single… …to Multiple Synapse Learning . . . . . . . . . . . . . . . . . . 57 4.5.1 R-STDP with… …STP Learns Multiple r-Patterns . . . . . . . . . . . . . 59 4.5.2 ARG-STDP Learns… …Multiple r-Patterns . . . . . . . . . . . . . . . . . 60 4.5.3 STP Stabilizes ARG-STDP Network… 

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APA (6th Edition):

O'Brien, M. J. (2013). The Role of Short-Term Synaptic Plasticity in Neural Network Spiking Dynamics and in the Learning of Multiple Distal Rewards. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/63r8s0br

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):

O'Brien, Michael John. “The Role of Short-Term Synaptic Plasticity in Neural Network Spiking Dynamics and in the Learning of Multiple Distal Rewards.” 2013. Thesis, UCLA. Accessed November 21, 2019. http://www.escholarship.org/uc/item/63r8s0br.

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

MLA Handbook (7th Edition):

O'Brien, Michael John. “The Role of Short-Term Synaptic Plasticity in Neural Network Spiking Dynamics and in the Learning of Multiple Distal Rewards.” 2013. Web. 21 Nov 2019.

Vancouver:

O'Brien MJ. The Role of Short-Term Synaptic Plasticity in Neural Network Spiking Dynamics and in the Learning of Multiple Distal Rewards. [Internet] [Thesis]. UCLA; 2013. [cited 2019 Nov 21]. Available from: http://www.escholarship.org/uc/item/63r8s0br.

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

Council of Science Editors:

O'Brien MJ. The Role of Short-Term Synaptic Plasticity in Neural Network Spiking Dynamics and in the Learning of Multiple Distal Rewards. [Thesis]. UCLA; 2013. Available from: http://www.escholarship.org/uc/item/63r8s0br

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


University of Otago

23. Fisher, Simon David. Action discovery in the basal ganglia through reinforcement of spike timing-dependent plasticity .

Degree: University of Otago

 Action discovery is the cognitive process of learning new actions to achieve desirable outcomes in the environment, through the formation of action-outcome associations. Multiple lines… (more)

Subjects/Keywords: action discovery; dopamine; striatum; plasticity; STDP; rat; joystick

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APA (6th Edition):

Fisher, S. D. (n.d.). Action discovery in the basal ganglia through reinforcement of spike timing-dependent plasticity . (Doctoral Dissertation). University of Otago. Retrieved from http://hdl.handle.net/10523/6089

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16th Edition):

Fisher, Simon David. “Action discovery in the basal ganglia through reinforcement of spike timing-dependent plasticity .” Doctoral Dissertation, University of Otago. Accessed November 21, 2019. http://hdl.handle.net/10523/6089.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Fisher, Simon David. “Action discovery in the basal ganglia through reinforcement of spike timing-dependent plasticity .” Web. 21 Nov 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Fisher SD. Action discovery in the basal ganglia through reinforcement of spike timing-dependent plasticity . [Internet] [Doctoral dissertation]. University of Otago; [cited 2019 Nov 21]. Available from: http://hdl.handle.net/10523/6089.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Fisher SD. Action discovery in the basal ganglia through reinforcement of spike timing-dependent plasticity . [Doctoral Dissertation]. University of Otago; Available from: http://hdl.handle.net/10523/6089

Note: this citation may be lacking information needed for this citation format:
No year of publication.


Universidade do Rio Grande do Sul

24. Susin, Eduarda Demori. Plasticidade sináptica e homeostase intrínseca em uma rede neural in silico : propriedades globais e de resposta a estímulos.

Degree: 2016, Universidade do Rio Grande do Sul

Recentemente observou-se experimentalmente, Johnson et al. (2010), que fatias organotípicas corticais de rato são capazes de completar padrões espaço-temporais, após serem treinadas. Embora se especule… (more)

Subjects/Keywords: Biofísica; Integrate-and-fire; Redes neurais; STDP; Homeostase; Intrinsic homeostasis; Signal propagation; Simulação computacional; Local connections; Random connections; Learning; Spatiotemporal processing

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APA (6th Edition):

Susin, E. D. (2016). Plasticidade sináptica e homeostase intrínseca em uma rede neural in silico : propriedades globais e de resposta a estímulos. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/143172

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):

Susin, Eduarda Demori. “Plasticidade sináptica e homeostase intrínseca em uma rede neural in silico : propriedades globais e de resposta a estímulos.” 2016. Thesis, Universidade do Rio Grande do Sul. Accessed November 21, 2019. http://hdl.handle.net/10183/143172.

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

MLA Handbook (7th Edition):

Susin, Eduarda Demori. “Plasticidade sináptica e homeostase intrínseca em uma rede neural in silico : propriedades globais e de resposta a estímulos.” 2016. Web. 21 Nov 2019.

Vancouver:

Susin ED. Plasticidade sináptica e homeostase intrínseca em uma rede neural in silico : propriedades globais e de resposta a estímulos. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2016. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/10183/143172.

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

Council of Science Editors:

Susin ED. Plasticidade sináptica e homeostase intrínseca em uma rede neural in silico : propriedades globais e de resposta a estímulos. [Thesis]. Universidade do Rio Grande do Sul; 2016. Available from: http://hdl.handle.net/10183/143172

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


EPFL

25. Zenke, Friedemann. Memory formation and recall in recurrent spiking neural networks.

Degree: 2014, EPFL

 Our brain has the capacity to analyze a visual scene in a split second, to learn how to play an instrument, and to remember events,… (more)

Subjects/Keywords: spiking neural networks; synaptic plasticity; homeostasis; Hebbian learning; cell assembly; inhibitory plasticity; heterosynaptic plasticity; STDP; secreted factors; selective delay activity

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APA (6th Edition):

Zenke, F. (2014). Memory formation and recall in recurrent spiking neural networks. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/203260

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):

Zenke, Friedemann. “Memory formation and recall in recurrent spiking neural networks.” 2014. Thesis, EPFL. Accessed November 21, 2019. http://infoscience.epfl.ch/record/203260.

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

MLA Handbook (7th Edition):

Zenke, Friedemann. “Memory formation and recall in recurrent spiking neural networks.” 2014. Web. 21 Nov 2019.

Vancouver:

Zenke F. Memory formation and recall in recurrent spiking neural networks. [Internet] [Thesis]. EPFL; 2014. [cited 2019 Nov 21]. Available from: http://infoscience.epfl.ch/record/203260.

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

Council of Science Editors:

Zenke F. Memory formation and recall in recurrent spiking neural networks. [Thesis]. EPFL; 2014. Available from: http://infoscience.epfl.ch/record/203260

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


University of Otago

26. Shirrafiardekani, Azam. Interaction of STDP and metaplasticity in modelling heterosynaptic plasticity.

Degree: University of Otago

 Although neuroscientists have still not found a comprehensive mechanism to underlie learning and memory, many investigations suggest that long term potentiation (LTP) and long term… (more)

Subjects/Keywords: Metaplasticity; plasticity; STDP; LTP; LTD; heterosynaptic; homosynaptic

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

APA (6th Edition):

Shirrafiardekani, A. (n.d.). Interaction of STDP and metaplasticity in modelling heterosynaptic plasticity. (Doctoral Dissertation). University of Otago. Retrieved from http://hdl.handle.net/10523/7422

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16th Edition):

Shirrafiardekani, Azam. “Interaction of STDP and metaplasticity in modelling heterosynaptic plasticity. ” Doctoral Dissertation, University of Otago. Accessed November 21, 2019. http://hdl.handle.net/10523/7422.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Shirrafiardekani, Azam. “Interaction of STDP and metaplasticity in modelling heterosynaptic plasticity. ” Web. 21 Nov 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Shirrafiardekani A. Interaction of STDP and metaplasticity in modelling heterosynaptic plasticity. [Internet] [Doctoral dissertation]. University of Otago; [cited 2019 Nov 21]. Available from: http://hdl.handle.net/10523/7422.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Shirrafiardekani A. Interaction of STDP and metaplasticity in modelling heterosynaptic plasticity. [Doctoral Dissertation]. University of Otago; Available from: http://hdl.handle.net/10523/7422

Note: this citation may be lacking information needed for this citation format:
No year of publication.


University of California – San Diego

27. Umbria Pedroni, Bruno. Boltzmann Energetics and Temporal Dynamics of Learning Neuromorphic Systems.

Degree: Bioengineering, 2019, University of California – San Diego

 The brain's cognitive power does not arise on exacting digital precision in high-performance computing, but emerges from an extremely efficient and resilient collective form of… (more)

Subjects/Keywords: Artificial intelligence; Neurosciences; Computer engineering; artificial neural network; Boltzmann; Neuromorphic; spiking neural network; STDP; synaptic connectivity

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

APA (6th Edition):

Umbria Pedroni, B. (2019). Boltzmann Energetics and Temporal Dynamics of Learning Neuromorphic Systems. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/5d83n1x2

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):

Umbria Pedroni, Bruno. “Boltzmann Energetics and Temporal Dynamics of Learning Neuromorphic Systems.” 2019. Thesis, University of California – San Diego. Accessed November 21, 2019. http://www.escholarship.org/uc/item/5d83n1x2.

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

MLA Handbook (7th Edition):

Umbria Pedroni, Bruno. “Boltzmann Energetics and Temporal Dynamics of Learning Neuromorphic Systems.” 2019. Web. 21 Nov 2019.

Vancouver:

Umbria Pedroni B. Boltzmann Energetics and Temporal Dynamics of Learning Neuromorphic Systems. [Internet] [Thesis]. University of California – San Diego; 2019. [cited 2019 Nov 21]. Available from: http://www.escholarship.org/uc/item/5d83n1x2.

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

Council of Science Editors:

Umbria Pedroni B. Boltzmann Energetics and Temporal Dynamics of Learning Neuromorphic Systems. [Thesis]. University of California – San Diego; 2019. Available from: http://www.escholarship.org/uc/item/5d83n1x2

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


EPFL

28. Wozniak, Stanislaw Andrzej. Unsupervised Learning of Phase-Change-Based Neuromorphic Systems.

Degree: 2017, EPFL

 Neuromorphic systems provide brain-inspired methods of computing. In a neuromorphic architecture, inputs are processed by a network of neurons receiving operands through synaptic interconnections, tuned… (more)

Subjects/Keywords: neuromorphic systems; phase-change memristors; spiking neural networks; WTA; STDP; correlation detection; unsupervised online learning; feature extraction; independent components; synaptic competition

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

APA (6th Edition):

Wozniak, S. A. (2017). Unsupervised Learning of Phase-Change-Based Neuromorphic Systems. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/232675

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):

Wozniak, Stanislaw Andrzej. “Unsupervised Learning of Phase-Change-Based Neuromorphic Systems.” 2017. Thesis, EPFL. Accessed November 21, 2019. http://infoscience.epfl.ch/record/232675.

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

MLA Handbook (7th Edition):

Wozniak, Stanislaw Andrzej. “Unsupervised Learning of Phase-Change-Based Neuromorphic Systems.” 2017. Web. 21 Nov 2019.

Vancouver:

Wozniak SA. Unsupervised Learning of Phase-Change-Based Neuromorphic Systems. [Internet] [Thesis]. EPFL; 2017. [cited 2019 Nov 21]. Available from: http://infoscience.epfl.ch/record/232675.

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

Council of Science Editors:

Wozniak SA. Unsupervised Learning of Phase-Change-Based Neuromorphic Systems. [Thesis]. EPFL; 2017. Available from: http://infoscience.epfl.ch/record/232675

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


Vrije Universiteit Amsterdam

29. Goriounova, N.A. Long-term consequences of nicotine exposure during adolescence: synaptic plasticity in rodent and human cortical neuronal networks .

Degree: 2012, Vrije Universiteit Amsterdam

Subjects/Keywords: adolescence nicotine synaptic plasticity attention STDP human cortex PFC

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

APA (6th Edition):

Goriounova, N. A. (2012). Long-term consequences of nicotine exposure during adolescence: synaptic plasticity in rodent and human cortical neuronal networks . (Doctoral Dissertation). Vrije Universiteit Amsterdam. Retrieved from http://hdl.handle.net/1871/33479

Chicago Manual of Style (16th Edition):

Goriounova, N A. “Long-term consequences of nicotine exposure during adolescence: synaptic plasticity in rodent and human cortical neuronal networks .” 2012. Doctoral Dissertation, Vrije Universiteit Amsterdam. Accessed November 21, 2019. http://hdl.handle.net/1871/33479.

MLA Handbook (7th Edition):

Goriounova, N A. “Long-term consequences of nicotine exposure during adolescence: synaptic plasticity in rodent and human cortical neuronal networks .” 2012. Web. 21 Nov 2019.

Vancouver:

Goriounova NA. Long-term consequences of nicotine exposure during adolescence: synaptic plasticity in rodent and human cortical neuronal networks . [Internet] [Doctoral dissertation]. Vrije Universiteit Amsterdam; 2012. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/1871/33479.

Council of Science Editors:

Goriounova NA. Long-term consequences of nicotine exposure during adolescence: synaptic plasticity in rodent and human cortical neuronal networks . [Doctoral Dissertation]. Vrije Universiteit Amsterdam; 2012. Available from: http://hdl.handle.net/1871/33479


University of Adelaide

30. Lightheart, Toby Asher. Constructive spiking neural networks for simulations of neuroplasticity.

Degree: 2018, University of Adelaide

 Artificial neural networks are important tools in machine learning and neuroscience; however, a difficult step in their implementation is the selection of the neural network… (more)

Subjects/Keywords: constructive neural networks; spiking neurons; neural simulation; neuroplasticity; STDP; pattern detection; one-shot learning; continual learning

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

APA (6th Edition):

Lightheart, T. A. (2018). Constructive spiking neural networks for simulations of neuroplasticity. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/115481

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):

Lightheart, Toby Asher. “Constructive spiking neural networks for simulations of neuroplasticity.” 2018. Thesis, University of Adelaide. Accessed November 21, 2019. http://hdl.handle.net/2440/115481.

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

MLA Handbook (7th Edition):

Lightheart, Toby Asher. “Constructive spiking neural networks for simulations of neuroplasticity.” 2018. Web. 21 Nov 2019.

Vancouver:

Lightheart TA. Constructive spiking neural networks for simulations of neuroplasticity. [Internet] [Thesis]. University of Adelaide; 2018. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/2440/115481.

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

Council of Science Editors:

Lightheart TA. Constructive spiking neural networks for simulations of neuroplasticity. [Thesis]. University of Adelaide; 2018. Available from: http://hdl.handle.net/2440/115481

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

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