The Implementation of Feedforward Network on Field Programmable Gate Array

被引:0
|
作者
Deng, Bin [1 ]
Zhang, Maohua [1 ]
Su, Fei [1 ]
Wang, Jiang [1 ]
Wei, Xile [1 ]
Shan, Bonan [1 ]
机构
[1] Tianjin Univ, Sch Elect Engn & Automat, Tianjin 300072, Peoples R China
来源
2014 7TH INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS (BMEI 2014) | 2014年
关键词
Field programmable gate array (FPGA); feedforward network (FFN); leaky integrate and fire (LIF) neuron model; synapses model; SYNCHRONOUS SPIKING; PROPAGATION;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Multilayer feedforward networks are related to functional groups of neurons where information is transmitted from one group to the next. It is a generic framework to characterize the properties of spiking activities in propagation. In this paper, we designed a novelty structure of feedforward network on FPGA to propagate the synchronous spiking activities. The experiment results demonstrate that the hardware implemented feedforward network can achieve the same synchronized states as the results of software simulation and show the high performance of FPGA implementation. The implementation of the feedforward network using one of the Altera Stratix III series FPGA boards is presented.
引用
收藏
页码:483 / 487
页数:5
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