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Hippocampus-Inspired Spiking Neural Network on FPGA

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Journal8th International Conference on Evolvable Systems
DatePublished - Sep 2008
Volume5216
Number of pages10
Pages (from-to)362-371
Original languageEnglish

Abstract

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.

    Research areas

  • Bio-inspired Hardware, Spiking Neural Network, FPGA, ROBOTS

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