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原文連結
論文資訊
- 類型：已發表論文
- 日期：2012-11-06
摘要
We study the interplay of topology and dynamics in a 神經 網絡 connected with spike-timing-dependent plasticity (STDP) synapses. Stimulated with periodic spike trains, the STDP-driven 網絡 undergoes a synaptic pruning process and evolves to a residual 網絡. We examine the variation of topological and dynamical properties of the residual 網絡 by varying two key parameters of STDP: synaptic delay and the ratio between potentiation and depression. Our extensive numerical simulations of the leaky integrate-and-fire model show that there exists two regions in the parameter space. The first corresponds to fixed-point configurations, where the distribution of peak synaptic conductances and the firing rate of neurons remain constant over time. The second corresponds to oscillating configurations, where both
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