Evolutionary dynamics optimization and FPGA based implementation of digital spike map

DOI IR (HANDLE)

Bibliographic Information

Other Title
  • デジタルスパイクマップの進化的動作最適化とFPGA実装

Description

In this thesis, we consider optimization and FPGA based implementation of digital spike maps. First, the dynamics of spike-trains is visualized by a digital spike map. The map is defined on a set of points and is represented by a characteristic vector of integers. Second, we introduce a simple evolutionary algorithm for optimization of digital spike maps. We use autocorrelation function as a cost function. Third, in order to implement the digital spike map, we introduce a digital spiking neuron. Repeating integrate-and-fire behavior between a periodic base signal and constant threshold, the neuron can out put various periodic spike-trains. The digital spike maps are implemented in an FPGA board and typical spike-trains are confirmed experimentally.

Journal

Keywords

Details 詳細情報について

  • CRID
    1390011540582402432
  • DOI
    10.15002/00025347
  • HANDLE
    10114/00025347
  • ISSN
    24368083
  • Text Lang
    ja
  • Article Type
    departmental bulletin paper
  • Data Source
    • JaLC
    • IRDB
  • Abstract License Flag
    Allowed

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