Digital Mapping of a Realistic Spike Timing Plasticity Model for Real-time Neural Simulations
Digital Mapping of a Realistic Spike Timing Plasticity Model for Real-time Neural Simulations
复制标题
用于实时神经模拟的真实尖峰时序可塑性模型的数字映射
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
S. Renaud
中科院分区：
文献类型：
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作者：
B. Belhadj;J. Tomas;Y. Bornat;A. Daouzli;O. Malot;S. Renaud
我们开发的主要步骤映射到数字硬件架构的一个现实的尖峰时间依赖可塑性（STDP）模型。在FPGA器件上实现并测试了几种类型的映射。我们比较它们的适用性，以实时尖峰神经网络（SNN）模拟器运行在生物时间尺度。
We develop the major steps taken to map a realistic spike timing-dependent plasticity (STDP) model into digital hardware architecture. Several types of mappings are implemented and tested on FPGA device. We compare their applicability to a real-time spiking neural network (SNN) simulator running in biological time-scale.