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

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Virginia Tech

1. Zhao, Chenyuan. Spike Processing Circuit Design for Neuromorphic Computing.

Degree: PhD, Electrical Engineering, 2019, Virginia Tech

 Neuromorphic computing is a kind of specific electronic system that could mimic biological bodies’ behavior. In most cases, neuromorphic computing system is built with analog… (more)

Subjects/Keywords: Neuromorphic computing; neuron; LIF; temporal encoding; spiking neural network; Inter-spike interval; encoder; decoder; STDP; latency

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APA (6th Edition):

Zhao, C. (2019). Spike Processing Circuit Design for Neuromorphic Computing. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/93591

Chicago Manual of Style (16th Edition):

Zhao, Chenyuan. “Spike Processing Circuit Design for Neuromorphic Computing.” 2019. Doctoral Dissertation, Virginia Tech. Accessed December 05, 2019. http://hdl.handle.net/10919/93591.

MLA Handbook (7th Edition):

Zhao, Chenyuan. “Spike Processing Circuit Design for Neuromorphic Computing.” 2019. Web. 05 Dec 2019.

Vancouver:

Zhao C. Spike Processing Circuit Design for Neuromorphic Computing. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2019 Dec 05]. Available from: http://hdl.handle.net/10919/93591.

Council of Science Editors:

Zhao C. Spike Processing Circuit Design for Neuromorphic Computing. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/93591


University of California – San Diego

2. 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 (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 December 05, 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. 05 Dec 2019.

Vancouver:

Umbria Pedroni B. Boltzmann Energetics and Temporal Dynamics of Learning Neuromorphic Systems. [Internet] [Thesis]. University of California – San Diego; 2019. [cited 2019 Dec 05]. 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


University of Adelaide

3. 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 (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 December 05, 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. 05 Dec 2019.

Vancouver:

Lightheart TA. Constructive spiking neural networks for simulations of neuroplasticity. [Internet] [Thesis]. University of Adelaide; 2018. [cited 2019 Dec 05]. 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


EPFL

4. 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 (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 December 05, 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. 05 Dec 2019.

Vancouver:

Wozniak SA. Unsupervised Learning of Phase-Change-Based Neuromorphic Systems. [Internet] [Thesis]. EPFL; 2017. [cited 2019 Dec 05]. 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

5. Zhang, Xu. Indirect Training Algorithms for Spiking Neural Networks based on Spiking Timing Dependent Plasticity and Their Applications .

Degree: 2017, Duke University

  Spiking neural networks have been used to investigate the mechanisms of processing in biological neural circuits or to propose hypotheses that can be tested… (more)

Subjects/Keywords: Artificial intelligence; Neurosciences; Robotics; Indirect Training; Learning Mechanism; Neurorobotics; Robotics; Spiking Neural Networks; STDP

…Spike Timing-Dependent Plasticity (STDP) . . . . . . . . . . . . . . 28 2.4.1… …Implement STDP using Local Variables . . . . . . . . . . . . . 31 Discussion… …respectively. . . . . . . . . . . . . . . . . . . . . . . . . . 30 2.11 STDP learning scheme… …indirect ReSuMe under different STDP parameters… …101 5.9 Time cost analysis of indirect ReSuMe under different STDP parameters.102 xv… 

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APA (6th Edition):

Zhang, X. (2017). Indirect Training Algorithms for Spiking Neural Networks based on Spiking Timing Dependent Plasticity and Their Applications . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/14362

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):

Zhang, Xu. “Indirect Training Algorithms for Spiking Neural Networks based on Spiking Timing Dependent Plasticity and Their Applications .” 2017. Thesis, Duke University. Accessed December 05, 2019. http://hdl.handle.net/10161/14362.

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

MLA Handbook (7th Edition):

Zhang, Xu. “Indirect Training Algorithms for Spiking Neural Networks based on Spiking Timing Dependent Plasticity and Their Applications .” 2017. Web. 05 Dec 2019.

Vancouver:

Zhang X. Indirect Training Algorithms for Spiking Neural Networks based on Spiking Timing Dependent Plasticity and Their Applications . [Internet] [Thesis]. Duke University; 2017. [cited 2019 Dec 05]. Available from: http://hdl.handle.net/10161/14362.

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

Council of Science Editors:

Zhang X. Indirect Training Algorithms for Spiking Neural Networks based on Spiking Timing Dependent Plasticity and Their Applications . [Thesis]. Duke University; 2017. Available from: http://hdl.handle.net/10161/14362

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


University of Sydney

6. 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 December 05, 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. 05 Dec 2019.

Vancouver:

Palmer JHC. Propagating spike waves in neural circuits: formation mechanisms and functional roles . [Internet] [Thesis]. University of Sydney; 2016. [cited 2019 Dec 05]. 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


Universidade do Rio Grande do Sul

7. 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 December 05, 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. 05 Dec 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 Dec 05]. 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

8. Verhoog, M.B. Information processing and storage by the human pyramidal neuron .

Degree: 2016, Vrije Universiteit Amsterdam

Subjects/Keywords: human brain slice electrophysiology neocortex dendritic morphology synaptic plasticity STDP nicotine

…stimulation induces bidirectional STDP-like plasticity in human motor cortex. Front. Hum. Neurosci… …Kerr, J.N.D. (2010). Timing is not everything: Neuromodulation opens the STDP gate… …sensitivity and loss in temporal contrast of STDP by dopaminergic modulation at hippocampal synapses… 

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APA (6th Edition):

Verhoog, M. B. (2016). Information processing and storage by the human pyramidal neuron . (Doctoral Dissertation). Vrije Universiteit Amsterdam. Retrieved from http://hdl.handle.net/1871/54242

Chicago Manual of Style (16th Edition):

Verhoog, M B. “Information processing and storage by the human pyramidal neuron .” 2016. Doctoral Dissertation, Vrije Universiteit Amsterdam. Accessed December 05, 2019. http://hdl.handle.net/1871/54242.

MLA Handbook (7th Edition):

Verhoog, M B. “Information processing and storage by the human pyramidal neuron .” 2016. Web. 05 Dec 2019.

Vancouver:

Verhoog MB. Information processing and storage by the human pyramidal neuron . [Internet] [Doctoral dissertation]. Vrije Universiteit Amsterdam; 2016. [cited 2019 Dec 05]. Available from: http://hdl.handle.net/1871/54242.

Council of Science Editors:

Verhoog MB. Information processing and storage by the human pyramidal neuron . [Doctoral Dissertation]. Vrije Universiteit Amsterdam; 2016. Available from: http://hdl.handle.net/1871/54242


University of Toronto

9. 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 December 05, 2019. http://hdl.handle.net/1807/70418.

MLA Handbook (7th Edition):

Himberger, Kevin D. “A Spiking Circuit Model of Sequence Learning.” 2015. Web. 05 Dec 2019.

Vancouver:

Himberger KD. A Spiking Circuit Model of Sequence Learning. [Internet] [Masters thesis]. University of Toronto; 2015. [cited 2019 Dec 05]. 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


Texas A&M University

10. 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 December 05, 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. 05 Dec 2019.

Vancouver:

Thulasiraman K. Enhanced Reinforcement Learning with Attentional Feedback and Temporally Attenuated Distal Rewards. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2019 Dec 05]. 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

11. 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 December 05, 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. 05 Dec 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 Dec 05]. 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

12. 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 December 05, 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. 05 Dec 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 Dec 05]. 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 Illinois – Urbana-Champaign

13. Duda, Alexander Michael. Towards a neocortically-inspired ab initio cellular model of associative memory.

Degree: PhD, Electrical & Computer Engr, 2015, University of Illinois – Urbana-Champaign

 We are interested in self-organization and adaptation in intelligent systems that are robustly coupled with the real world. Such systems have a variety of sensory… (more)

Subjects/Keywords: Ab Initio Cellular Models; Associative Memory; Attractors; Complex Networks; Emergence; Information-Preserving; Multi-Scale Modeling; Neurorobotics; Nonlinear Dynamics; Real-World Coupling; Spiking Neural Networks; Spike-timing Dependent Plasticity; Spike-timing Dependent Plasticity (STDP) Learning; Topological Adaptation

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APA (6th Edition):

Duda, A. M. (2015). Towards a neocortically-inspired ab initio cellular model of associative memory. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/78735

Chicago Manual of Style (16th Edition):

Duda, Alexander Michael. “Towards a neocortically-inspired ab initio cellular model of associative memory.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 05, 2019. http://hdl.handle.net/2142/78735.

MLA Handbook (7th Edition):

Duda, Alexander Michael. “Towards a neocortically-inspired ab initio cellular model of associative memory.” 2015. Web. 05 Dec 2019.

Vancouver:

Duda AM. Towards a neocortically-inspired ab initio cellular model of associative memory. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Dec 05]. Available from: http://hdl.handle.net/2142/78735.

Council of Science Editors:

Duda AM. Towards a neocortically-inspired ab initio cellular model of associative memory. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/78735


Arizona State University

14. Sivaraj, Mahraj. STDP Implementation Using CBRAM Devices in CMOS.

Degree: Electrical Engineering, 2015, Arizona State University

Subjects/Keywords: Electrical engineering; Adaptive systems; Conductive Bridge RAM (CBRAM); Learning systems; Memristor; Spike-Timing Dependent Plasticity (STDP); Spiking Neural Networks

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

APA (6th Edition):

Sivaraj, M. (2015). STDP Implementation Using CBRAM Devices in CMOS. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/34779

Chicago Manual of Style (16th Edition):

Sivaraj, Mahraj. “STDP Implementation Using CBRAM Devices in CMOS.” 2015. Masters Thesis, Arizona State University. Accessed December 05, 2019. http://repository.asu.edu/items/34779.

MLA Handbook (7th Edition):

Sivaraj, Mahraj. “STDP Implementation Using CBRAM Devices in CMOS.” 2015. Web. 05 Dec 2019.

Vancouver:

Sivaraj M. STDP Implementation Using CBRAM Devices in CMOS. [Internet] [Masters thesis]. Arizona State University; 2015. [cited 2019 Dec 05]. Available from: http://repository.asu.edu/items/34779.

Council of Science Editors:

Sivaraj M. STDP Implementation Using CBRAM Devices in CMOS. [Masters Thesis]. Arizona State University; 2015. Available from: http://repository.asu.edu/items/34779


Arizona State University

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

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 December 05, 2019. http://repository.asu.edu/items/36417.

MLA Handbook (7th Edition):

Mahalanabis, Debayan. “Multilevel Resistance Programming in Conductive Bridge Resistive Memory.” 2015. Web. 05 Dec 2019.

Vancouver:

Mahalanabis D. Multilevel Resistance Programming in Conductive Bridge Resistive Memory. [Internet] [Doctoral dissertation]. Arizona State University; 2015. [cited 2019 Dec 05]. 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


Vilnius University

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

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 December 05, 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. 05 Dec 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 Dec 05]. 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

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

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 December 05, 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. 05 Dec 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 Dec 05]. 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


Université Paris-Sud – Paris XI

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

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 December 05, 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. 05 Dec 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 Dec 05]. 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


NSYSU

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

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 December 05, 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. 05 Dec 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 Dec 05]. 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


Tokyo Institute of Technology / 東京工業大学

20. 宮田, 龍太. 連想記憶に最適な神経実装の探索: 海馬のスパイクタイミング依存可塑性と位相応答曲線 : Optimal Design for Associative Memory: Hippocampal Spike-Timing-Dependent Plasticity and Phase Response Curve; 連想記憶に最適な神経実装の探索: 海馬のスパイクタイミング依存可塑性と位相応答曲線.

Degree: 博士(工学), 2015, Tokyo Institute of Technology / 東京工業大学

Recently, some researchers have tried to specify optimal pairs of the synaptic plasticity rule for memory storage and the form of neural interactions for memory… (more)

Subjects/Keywords: associative memory; 連想記憶; STDP; スパイクタイミング依存可塑性; PRC; 位相応答曲線; reversed pattern retrieval; 反転パターン想起; spread-out pattern retrieval; 引き延ばしパターン想起; mutual information maximization; 相互情報量最大化

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

APA (6th Edition):

宮田, . (2015). 連想記憶に最適な神経実装の探索: 海馬のスパイクタイミング依存可塑性と位相応答曲線 : Optimal Design for Associative Memory: Hippocampal Spike-Timing-Dependent Plasticity and Phase Response Curve; 連想記憶に最適な神経実装の探索: 海馬のスパイクタイミング依存可塑性と位相応答曲線. (Thesis). Tokyo Institute of Technology / 東京工業大学. Retrieved from http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100691071

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):

宮田, 龍太. “連想記憶に最適な神経実装の探索: 海馬のスパイクタイミング依存可塑性と位相応答曲線 : Optimal Design for Associative Memory: Hippocampal Spike-Timing-Dependent Plasticity and Phase Response Curve; 連想記憶に最適な神経実装の探索: 海馬のスパイクタイミング依存可塑性と位相応答曲線.” 2015. Thesis, Tokyo Institute of Technology / 東京工業大学. Accessed December 05, 2019. http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100691071.

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

MLA Handbook (7th Edition):

宮田, 龍太. “連想記憶に最適な神経実装の探索: 海馬のスパイクタイミング依存可塑性と位相応答曲線 : Optimal Design for Associative Memory: Hippocampal Spike-Timing-Dependent Plasticity and Phase Response Curve; 連想記憶に最適な神経実装の探索: 海馬のスパイクタイミング依存可塑性と位相応答曲線.” 2015. Web. 05 Dec 2019.

Vancouver:

宮田 . 連想記憶に最適な神経実装の探索: 海馬のスパイクタイミング依存可塑性と位相応答曲線 : Optimal Design for Associative Memory: Hippocampal Spike-Timing-Dependent Plasticity and Phase Response Curve; 連想記憶に最適な神経実装の探索: 海馬のスパイクタイミング依存可塑性と位相応答曲線. [Internet] [Thesis]. Tokyo Institute of Technology / 東京工業大学; 2015. [cited 2019 Dec 05]. Available from: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100691071.

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

Council of Science Editors:

宮田 . 連想記憶に最適な神経実装の探索: 海馬のスパイクタイミング依存可塑性と位相応答曲線 : Optimal Design for Associative Memory: Hippocampal Spike-Timing-Dependent Plasticity and Phase Response Curve; 連想記憶に最適な神経実装の探索: 海馬のスパイクタイミング依存可塑性と位相応答曲線. [Thesis]. Tokyo Institute of Technology / 東京工業大学; 2015. Available from: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100691071

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


Tokyo Institute of Technology / 東京工業大学

21. 宮田, 龍太. 連想記憶に最適な神経実装の探索: 海馬のスパイクタイミング依存可塑性と位相応答曲線 : Optimal Design for Associative Memory: Hippocampal Spike-Timing-Dependent Plasticity and Phase Response Curve; 連想記憶に最適な神経実装の探索: 海馬のスパイクタイミング依存可塑性と位相応答曲線.

Degree: 博士(工学), 2014, Tokyo Institute of Technology / 東京工業大学

Recently, some researchers have tried to specify optimal pairs of the synaptic plasticity rule for memory storage and the form of neural interactions for memory… (more)

Subjects/Keywords: associative memory; 連想記憶; STDP; スパイクタイミング依存可塑性; PRC; 位相応答曲線; reversed pattern retrieval; 反転パターン想起; spread-out pattern retrieval; 引き延ばしパターン想起; mutual information maximization; 相互情報量最大化

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

APA (6th Edition):

宮田, . (2014). 連想記憶に最適な神経実装の探索: 海馬のスパイクタイミング依存可塑性と位相応答曲線 : Optimal Design for Associative Memory: Hippocampal Spike-Timing-Dependent Plasticity and Phase Response Curve; 連想記憶に最適な神経実装の探索: 海馬のスパイクタイミング依存可塑性と位相応答曲線. (Thesis). Tokyo Institute of Technology / 東京工業大学. Retrieved from http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100667348

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):

宮田, 龍太. “連想記憶に最適な神経実装の探索: 海馬のスパイクタイミング依存可塑性と位相応答曲線 : Optimal Design for Associative Memory: Hippocampal Spike-Timing-Dependent Plasticity and Phase Response Curve; 連想記憶に最適な神経実装の探索: 海馬のスパイクタイミング依存可塑性と位相応答曲線.” 2014. Thesis, Tokyo Institute of Technology / 東京工業大学. Accessed December 05, 2019. http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100667348.

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

MLA Handbook (7th Edition):

宮田, 龍太. “連想記憶に最適な神経実装の探索: 海馬のスパイクタイミング依存可塑性と位相応答曲線 : Optimal Design for Associative Memory: Hippocampal Spike-Timing-Dependent Plasticity and Phase Response Curve; 連想記憶に最適な神経実装の探索: 海馬のスパイクタイミング依存可塑性と位相応答曲線.” 2014. Web. 05 Dec 2019.

Vancouver:

宮田 . 連想記憶に最適な神経実装の探索: 海馬のスパイクタイミング依存可塑性と位相応答曲線 : Optimal Design for Associative Memory: Hippocampal Spike-Timing-Dependent Plasticity and Phase Response Curve; 連想記憶に最適な神経実装の探索: 海馬のスパイクタイミング依存可塑性と位相応答曲線. [Internet] [Thesis]. Tokyo Institute of Technology / 東京工業大学; 2014. [cited 2019 Dec 05]. Available from: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100667348.

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

Council of Science Editors:

宮田 . 連想記憶に最適な神経実装の探索: 海馬のスパイクタイミング依存可塑性と位相応答曲線 : Optimal Design for Associative Memory: Hippocampal Spike-Timing-Dependent Plasticity and Phase Response Curve; 連想記憶に最適な神経実装の探索: 海馬のスパイクタイミング依存可塑性と位相応答曲線. [Thesis]. Tokyo Institute of Technology / 東京工業大学; 2014. Available from: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100667348

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


EPFL

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

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 December 05, 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. 05 Dec 2019.

Vancouver:

Zenke F. Memory formation and recall in recurrent spiking neural networks. [Internet] [Thesis]. EPFL; 2014. [cited 2019 Dec 05]. 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

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

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 December 05, 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. 05 Dec 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 Dec 05]. 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

24. Rahimi Azghadi, Seyed Mostafa. Neuromorphic VLSI designs for spike timing and rate-based synaptic plasticity with application in pattern classification.

Degree: 2014, University of Adelaide

 This thesis presents a versatile study on the design and Very Large Scale Integration(VLSI) implementation of various synaptic plasticity rules ranging from phenomenological rules, to… (more)

Subjects/Keywords: Neuromorphic Engineering; VLSI; neural systems; synapse; Neuron; Synaptic Plasticity; STDP; BCM; pattern classification

…Contents 6.3.1 6.3.2 Voltage-mode Triplet-based STDP Circuit Model… …139 6.3.3 6.4 Triplet-based STDP . . . . . . . . . . . . . . . . . . . . . . . . . . . 138… …Current-mode Triplet-based STDP Circuit Model . . . . . . . . . 140 Experimental Setup… …158 7.2 A Different Arrangement of Triplet-based STDP . . . . . . . . . . . . . . 159 7.3… …Page viii Contents Chapter 8. Compact Low Energy Neuromorphic Circuit for Triplet STDP 191… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA (6th Edition):

Rahimi Azghadi, S. M. (2014). Neuromorphic VLSI designs for spike timing and rate-based synaptic plasticity with application in pattern classification. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/84732

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):

Rahimi Azghadi, Seyed Mostafa. “Neuromorphic VLSI designs for spike timing and rate-based synaptic plasticity with application in pattern classification.” 2014. Thesis, University of Adelaide. Accessed December 05, 2019. http://hdl.handle.net/2440/84732.

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

MLA Handbook (7th Edition):

Rahimi Azghadi, Seyed Mostafa. “Neuromorphic VLSI designs for spike timing and rate-based synaptic plasticity with application in pattern classification.” 2014. Web. 05 Dec 2019.

Vancouver:

Rahimi Azghadi SM. Neuromorphic VLSI designs for spike timing and rate-based synaptic plasticity with application in pattern classification. [Internet] [Thesis]. University of Adelaide; 2014. [cited 2019 Dec 05]. Available from: http://hdl.handle.net/2440/84732.

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

Council of Science Editors:

Rahimi Azghadi SM. Neuromorphic VLSI designs for spike timing and rate-based synaptic plasticity with application in pattern classification. [Thesis]. University of Adelaide; 2014. Available from: http://hdl.handle.net/2440/84732

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

25. Vitanza, Alessandra. Methodologies and Tools for the Emergence of Cooperation in Biorobotics.

Degree: 2013, Università degli Studi di Catania

 One of the main purposes of the Ph.D. activities was the investigation of the swarm aspects in order to formulate new strategies for the emergence… (more)

Subjects/Keywords: Area 09 - Ingegneria industriale e dell'informazione; Swarm Intelligence,collaborative algorithms,labor division,swarm robotic applications,task partitioning,bio-robotics,spike-frequency adaptation,STDP learning,robotic framework,dynamic simulator

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APA (6th Edition):

Vitanza, A. (2013). Methodologies and Tools for the Emergence of Cooperation in Biorobotics. (Thesis). Università degli Studi di Catania. Retrieved from http://hdl.handle.net/10761/1310

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):

Vitanza, Alessandra. “Methodologies and Tools for the Emergence of Cooperation in Biorobotics.” 2013. Thesis, Università degli Studi di Catania. Accessed December 05, 2019. http://hdl.handle.net/10761/1310.

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

MLA Handbook (7th Edition):

Vitanza, Alessandra. “Methodologies and Tools for the Emergence of Cooperation in Biorobotics.” 2013. Web. 05 Dec 2019.

Vancouver:

Vitanza A. Methodologies and Tools for the Emergence of Cooperation in Biorobotics. [Internet] [Thesis]. Università degli Studi di Catania; 2013. [cited 2019 Dec 05]. Available from: http://hdl.handle.net/10761/1310.

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

Council of Science Editors:

Vitanza A. Methodologies and Tools for the Emergence of Cooperation in Biorobotics. [Thesis]. Università degli Studi di Catania; 2013. Available from: http://hdl.handle.net/10761/1310

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

26. Davies, Sergio. Learning in Spiking Neural Networks.

Degree: 2013, University of Manchester

 Artificial neural network simulators are a research field which attracts the interest of researchers from various fields, from biology to computer science. The final objectives… (more)

Subjects/Keywords: Learning; Spiking neural networks; Neural network simulators; Neuromimetic hardware; Neuromorphic hardware; SpiNNaker; Population-based routing; STDP; TTS; Real-time software; Asyncronous software execution

…6.7 6.8 6.9 6.10 6.11 6.12 6.13 S ERGIO DAVIES STDP curve. The horizontal axis… …Implementation of the standard STDP learning rule. . . . . . . . . . . Example of computation of the… …for STDP with TTS forecast - −66mV ≤ L ≤ −63mV . Set 1 has synaptic weights in the interval… …Scatter plots for STDP with TTS forecast - −70mV ≤ L ≤ −67mV . Set 1 has synaptic weights in the… …Scatter plots for STDP with TTS forecast - −66mV ≤ L ≤ −63mV . Set 3 has synaptic weights in the… 

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

APA (6th Edition):

Davies, S. (2013). Learning in Spiking Neural Networks. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:186210

Chicago Manual of Style (16th Edition):

Davies, Sergio. “Learning in Spiking Neural Networks.” 2013. Doctoral Dissertation, University of Manchester. Accessed December 05, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:186210.

MLA Handbook (7th Edition):

Davies, Sergio. “Learning in Spiking Neural Networks.” 2013. Web. 05 Dec 2019.

Vancouver:

Davies S. Learning in Spiking Neural Networks. [Internet] [Doctoral dissertation]. University of Manchester; 2013. [cited 2019 Dec 05]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:186210.

Council of Science Editors:

Davies S. Learning in Spiking Neural Networks. [Doctoral Dissertation]. University of Manchester; 2013. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:186210


University of Plymouth

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

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 December 05, 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. 05 Dec 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 Dec 05]. 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


University of Manchester

28. Davies, Sergio. Learning in spiking neural networks.

Degree: PhD, 2013, University of Manchester

 Artificial neural network simulators are a research field which attracts the interest of researchers from various fields, from biology to computer science. The final objectives… (more)

Subjects/Keywords: 006.3; Learning; Spiking neural networks; Neural network simulators; Neuromimetic hardware; Neuromorphic hardware; SpiNNaker; Population-based routing; STDP; TTS; Real-time software; Asyncronous software execution

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

APA (6th Edition):

Davies, S. (2013). Learning in spiking neural networks. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/learning-in-spiking-neural-networks(2d2be0d7-9557-481e-b9f1-3889a5ca2447).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.568611

Chicago Manual of Style (16th Edition):

Davies, Sergio. “Learning in spiking neural networks.” 2013. Doctoral Dissertation, University of Manchester. Accessed December 05, 2019. https://www.research.manchester.ac.uk/portal/en/theses/learning-in-spiking-neural-networks(2d2be0d7-9557-481e-b9f1-3889a5ca2447).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.568611.

MLA Handbook (7th Edition):

Davies, Sergio. “Learning in spiking neural networks.” 2013. Web. 05 Dec 2019.

Vancouver:

Davies S. Learning in spiking neural networks. [Internet] [Doctoral dissertation]. University of Manchester; 2013. [cited 2019 Dec 05]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/learning-in-spiking-neural-networks(2d2be0d7-9557-481e-b9f1-3889a5ca2447).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.568611.

Council of Science Editors:

Davies S. Learning in spiking neural networks. [Doctoral Dissertation]. University of Manchester; 2013. Available from: https://www.research.manchester.ac.uk/portal/en/theses/learning-in-spiking-neural-networks(2d2be0d7-9557-481e-b9f1-3889a5ca2447).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.568611

29. 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 December 05, 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. 05 Dec 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 Dec 05]. 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

30. Arizumi, Nana. Emergence and stability of complex structures from stochastic neuronal networks.

Degree: PhD, 0112, 2012, University of Illinois – Urbana-Champaign

 A single neuron’s connectivity is the key to understanding the network of neurons in the brain. However, it is already a complicated system and many… (more)

Subjects/Keywords: computational neuroscience; spike-timing- dependent plasticity (STDP); neuronal network

…Hebbian plasticity (b) STDP plastiticity Figure 1.2: Window function The plasticity… …to a temporally asymmetric spike-timingdependent plasticity (STDP) model. The… …main difference between Hebb’s learning and the STDP is the time-plasticity window function… …presynaptic spikes happen after a postsynaptic spike, the STDP window function returns a negative… …synaptic weight as shown in Fig. 1.2b. The STDP window function is different for each neuron and… 

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

APA (6th Edition):

Arizumi, N. (2012). Emergence and stability of complex structures from stochastic neuronal networks. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/30961

Chicago Manual of Style (16th Edition):

Arizumi, Nana. “Emergence and stability of complex structures from stochastic neuronal networks.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 05, 2019. http://hdl.handle.net/2142/30961.

MLA Handbook (7th Edition):

Arizumi, Nana. “Emergence and stability of complex structures from stochastic neuronal networks.” 2012. Web. 05 Dec 2019.

Vancouver:

Arizumi N. Emergence and stability of complex structures from stochastic neuronal networks. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Dec 05]. Available from: http://hdl.handle.net/2142/30961.

Council of Science Editors:

Arizumi N. Emergence and stability of complex structures from stochastic neuronal networks. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/30961

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