基于兔迟缓持续神经节细胞组神经形态模型的低dc水平变异视网膜芯片

2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI:10.1109/CNNA.2010.5430269

Wen-Chia Yang, X. Hsu, Li-Ju Lin, Chung-Yu Wu

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引用次数: 0

摘要

本文提出了一种基于兔视网膜神经形态模型的视网膜芯片，称为“迟缓持续神经节细胞组”。该芯片包含一个32 × 32像素阵列，像素尺寸为101 × 100¿m2，填充系数为9.14%。通过采用线性变换器作为V-I变换器，实现了5%的像素间直流电平变化。实验结果与生物测量结果一致，验证了芯片的功能。其潜在的应用领域包括传感器系统、计算机视觉和视觉假肢。

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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A low DC-level variation retinal chip based on the neuromorphic model of on sluggish sustained ganglion cell set of rabbits

A retinal chip based on the neuromorphic model derived from the rabbit's retina called "on sluggish sustained ganglion cell set" is proposed in this paper. The proposed chip contains a 32 × 32 pixel array with 101 × 100 ¿m2 pixel size and the fill factor of 9.14%. Five percent inter-pixel DC level variation is achieved by adopting a linear transconductor as the V-I convertor. The function of the chip is verified by the experimental results which are consistent with biological measurement ones. The potential applications are sensor system, computer vision, and visual prosthesis.

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2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)

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