FPGA-based Training and Recalling System for Memristor Synapses

被引：0

作者：

Son Ngoc Truong ^{[1
]}

Khoa Van Pham ^{[1
]}

Yang, Wonsun ^{[1
]}

Song, Jaesang ^{[1
]}

Mo, Hyun-Sun ^{[1
]}

Min, Kyeong-Sik ^{[1
]}

机构：

[1] Kookmin Univ, Sch Elect Engn, Seoul, South Korea

来源：

2016 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATIONS (ICEIC) | 2016年

关键词：

Memristors; memristor synapses; pulse modulation schemes; memristor training; memrisror programming;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Nanoscale memristors can be used as synapses in brain-mimicking neuromorphic systems. To act as synapses, memristors should be programmed or trained for the target synaptic weight values by applying a sequence of voltage pulses. In this paper, we show an implementation of FPGA-based training and recalling system of memristor synapses. Using the implemented FPGA-based training and recalling system of memristor synapses, we compare various pule modulation schemes which can be used in training and recalling memristor synapses. This comparison tells us that the pulse amplitude modulation is more suitable to train memristor synapses precisely than the others.

引用

页数：4

共 32 条

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