A VHDL-AMS based spiking neuron model

L. Țigăeru
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Abstract

Nowadays trends in the electronic system design look beyond the conventional computing architectures towards biologically inspired solutions to find new circuit ideas to advance the computational power of the future computational structures. The present paper introduces a VHDL-AMS based spiking neuron model, which exhibits realistic behavior. This approach is suitable to integrate hybrid neuro-eletronic circuits into a compact model used to perform the functional verification of the electronic system, which precedes its VLSI implementation.
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基于VHDL-AMS的峰值神经元模型
如今,电子系统设计的趋势超越了传统的计算架构,转向生物启发的解决方案,以寻找新的电路思想,以提高未来计算结构的计算能力。本文介绍了一种基于VHDL-AMS的峰值神经元模型,该模型具有逼真的行为。这种方法适用于将混合神经电子电路集成到一个紧凑的模型中,用于在其VLSI实现之前对电子系统进行功能验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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