DocumentCode
1789633
Title
The implementation of feedforward network on field programmable gate array
Author
Bin Deng ; Maohua Zhang ; Fei Su ; Jiang Wang ; Xile Wei ; Bonan Shan
Author_Institution
Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
fYear
2014
fDate
14-16 Oct. 2014
Firstpage
483
Lastpage
487
Abstract
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.
Keywords
feedforward neural nets; field programmable gate arrays; Altera Stratix III series FPGA boards; field programmable gate array; hardware implemented feedforward network; multilayer feedforward networks; software simulation; synchronized states; synchronous spiking activities; Arrays; Biological system modeling; Computational modeling; Feedforward neural networks; Field programmable gate arrays; Neurons; Synchronization; Field programmable gate array (FPGA); feedforward network (FFN); leaky integrate and fire (LIF) neuron model; synapses model;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics (BMEI), 2014 7th International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4799-5837-5
Type
conf
DOI
10.1109/BMEI.2014.7002823
Filename
7002823
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