Computational Models of Spike-Timing Dependent Plasticity

Computational Models of Spike-Timing Dependent Plasticity
ISBN-10
3838315278
ISBN-13
9783838315270
Category
Computational neuroscience
Pages
192
Language
English
Published
2009-11
Publisher
LAP Lambert Academic Publishing
Author
Quan Zou

Description

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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