• 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