DocumentCode
2079514
Title
High-speed simulation for neuron system base on FPGA
Author
Zhang Ronghua ; Wang Jiang ; Li Shuangshuang ; Che Yanqiu
Author_Institution
Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
fYear
2010
fDate
29-31 July 2010
Firstpage
5500
Lastpage
5504
Abstract
Method for neuromorphic hardware implementing base on FPGA is researched. The concept of pipeline operator and pipeline model, which can supply a mathematical deduction for realizing the single-core multi-model, is defined. A realization of Morris-Lecar neural model with 12 stages pipeline is accomplished, and the code is embedded into the “Digital Neuromorphic Hardware Platform”. Error analysis for the result has been done in this paper.
Keywords
error analysis; field programmable gate arrays; neural chips; FPGA; Morris-Lecar neural model; digital neuromorphic hardware platform; error analysis; field programmable gate array; high-speed simulation; mathematical deduction; neuron system; pipeline model; pipeline operator; Computational modeling; Digital signal processing; Field programmable gate arrays; Hardware; Mathematical model; Neurons; Pipelines; FPGA; Neuron; Pipeline;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2010 29th Chinese
Conference_Location
Beijing
Print_ISBN
978-1-4244-6263-6
Type
conf
Filename
5572365
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