High-speed simulation for neuron system base on FPGA

Ronghua Zhang, Jiang Wang, Shuangshuang Li, Yanqiu Che

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings of the 29th Chinese Control Conference, CCC'10
Pages5500-5504
Number of pages5
StatePublished - Dec 22 2010
Event29th Chinese Control Conference, CCC'10 - Beijing, China
Duration: Jul 29 2010Jul 31 2010

Other

Other29th Chinese Control Conference, CCC'10
CountryChina
CityBeijing
Period7/29/107/31/10

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

Fingerprint Dive into the research topics of 'High-speed simulation for neuron system base on FPGA'. Together they form a unique fingerprint.

  • Cite this

    Zhang, R., Wang, J., Li, S., & Che, Y. (2010). High-speed simulation for neuron system base on FPGA. In Proceedings of the 29th Chinese Control Conference, CCC'10 (pp. 5500-5504). [5572365]