Hippocampus-Inspired Spiking Neural Network on FPGA

Authors:
Maizura Mokhtar;David M. Halliday;Andy M. Tyrrell
Affiliations:
Intelligence System Group, Department of Electronics, The University of York, Heslington, York, United Kingdom YO10 5DD;Intelligence System Group, Department of Electronics, The University of York, Heslington, York, United Kingdom YO10 5DD;Intelligence System Group, Department of Electronics, The University of York, Heslington, York, United Kingdom YO10 5DD
Venue:
ICES '08 Proceedings of the 8th international conference on Evolvable Systems: From Biology to Hardware
Year:
2008

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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 an 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 on an FPGA, in order to take advantage of these two characteristics as well as to achieve autonomy for a neuro-controller device.