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Computational Models of Spike-Timing Dependent Plasticity:: Synapses, Neurons and Circuits - Softcover
Inhaltsangabe
This thesis work consists in a theoretical and computational study of a recently-indentified type of synaptic plasticity, called "spike-timing dependent plasticity" (STDP). The thesis is articulated in three main parts. (1) A phenomenological model of STDP is introduced based on experimental data, and the biophysical plausibility of this model is analyzed. (2) This model is then implemented in an analog-neuron simulator, in which neurons are emulated by integrated circuits (ASICs). The behavior of elementary circuits of neurons interconnected with STDP synapses is analyzed and compared to the results of numerical simulations. (3) STDP is studied numerically at the cellular level in conditions of multiple and complex synaptic input. In conclusion, both numerical and analog simulations suggest that STDP is optimal to detect and process correlations among synaptic inputs.
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Reseña del editor
This thesis work consists in a theoretical and computational study of a recently-indentified type of synaptic plasticity, called "spike-timing dependent plasticity" (STDP). The thesis is articulated in three main parts. (1) A phenomenological model of STDP is introduced based on experimental data, and the biophysical plausibility of this model is analyzed. (2) This model is then implemented in an analog-neuron simulator, in which neurons are emulated by integrated circuits (ASICs). The behavior of elementary circuits of neurons interconnected with STDP synapses is analyzed and compared to the results of numerical simulations. (3) STDP is studied numerically at the cellular level in conditions of multiple and complex synaptic input. In conclusion, both numerical and analog simulations suggest that STDP is optimal to detect and process correlations among synaptic inputs.
Biografía del autor
Dr. Zou studies mathematical models of adapted learning theory. He obtained his PhD from the University of Paris VI with Professor Alain Destexhe as adviser. He is a member of Society for Neuroscience, Society for Industrial and Applied Mathematics, and the American Mathematical Society. He also serves as reviewer for various academic journals.
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- VerlagLAP LAMBERT Academic Publishing
- Erscheinungsdatum2009
- ISBN 10 3838315278
- ISBN 13 9783838315270
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten192
- Kontakt zum HerstellerNicht verfügbar
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Computational Models of Spike-Timing Dependent Plasticity:
Verlag:
LAP LAMBERT Academic Publishing Sep 2009, 2009
ISBN 10: 3838315278
ISBN 13: 9783838315270
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Taschenbuch. Zustand: Neu. Neuware -This thesis work consists in a theoretical and computational study of a recently-indentified type of synaptic plasticity, called ¿spike-timing dependent plasticity¿ (STDP). The thesis is articulated in three main parts. (1) A phenomenological model of STDP is introduced based on experimental data, and the biophysical plausibility of this model is analyzed. (2) This model is then implemented in an analog-neuron simulator, in which neurons are emulated by integrated circuits (ASICs). The behavior of elementary circuits of neurons interconnected with STDP synapses is analyzed and compared to the results of numerical simulations. (3) STDP is studied numerically at the cellular level in conditions of multiple and complex synaptic input. In conclusion, both numerical and analog simulations suggest that STDP is optimal to detect and process correlations among synaptic inputs.Books on Demand GmbH, Überseering 33, 22297 Hamburg 192 pp. Englisch. Artikel-Nr. 9783838315270
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