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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Dr. Zou studies mathematical models of adapted learning theory.He obtained his PhD from the University of Paris VI withProfessor Alain Destexhe as adviser. He is a member of Societyfor Neuroscience, Society for Industrial and Applied Mathematics,and the American Mathematical Society. He also serves as reviewerfor various academic journals.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 192 pp. Englisch. Bestandsnummer des Verkäufers 9783838315270
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 . Bestandsnummer des Verkäufers 5412214
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9783838315270
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 192 pp. Englisch. Bestandsnummer des Verkäufers 9783838315270
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Taschenbuch. Zustand: Neu. Computational Models of Spike-Timing Dependent Plasticity: | Synapses, Neurons and Circuits | Quan Zou | Taschenbuch | 192 S. | Englisch | 2009 | LAP LAMBERT Academic Publishing | EAN 9783838315270 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 101444775
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