Hippocampus-Inspired Spiking Neural Network on FPGA

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There is now a great interest in exploiting the capabilities of hardware devices; especially the reconfigurable properties of FPGA to implement and study the dynamics of neural networks, specifically a biological inspired neural network. FPGA has a much greater appeal than other modes of implementation because ail FPGA implementation offers the flexibility of simple software (re-)configuration in comparison to other digital ASICs. In this paper a hippocampus-inspired spiking neural network is implemented oil all FPGA, in order to take advantage of these two characteristics as well as to achieve autonomy for a neuro-controller device.

Original languageEnglish
Pages (from-to)362-371
Number of pages10
Journal8th International Conference on Evolvable Systems
Publication statusPublished - Sept 2008


  • Bio-inspired Hardware
  • Spiking Neural Network
  • FPGA

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