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High-speed simulation for neuron system base on FPGA

机译:基于FPGA的神经元系统高速仿真

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摘要

Method for neuromorphic hardware implementing base on FPGA is researched. The concept of pipeline operator and pipeline model, which can supply a mathematical deduction for realizing the single-core multi-model, is defined. A realization of Morris-Lecar neural model with 12 stages pipeline is accomplished, and the code is embedded into the “Digital Neuromorphic Hardware Platform”. Error analysis for the result has been done in this paper.
机译:研究了基于FPGA的神经形态硬件实现方法。定义了流水线算子和流水线模型的概念,可以为实现单核多模型提供数学推论。完成了具有12级流水线的Morris-Lecar神经模型的实现,并将代码嵌入到“数字神经形态硬件平台”中。本文已经对结果进行了误差分析。

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