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A low-cost neuroprocessor board for emulating the SOFM neural model

In this paper, the design and implementation of a low-cost PC-board for emulating the self-organising map neural model is shown. This neuroprocessor, based on Xilinx's FPGAs, is built and tested, and its performance is analysed and compared to computer simulations. The resulting neuroboard is just a first step towards the development of a general purpose neuroemulator based on FPGAs, in which the reconfiguration properties of these programmable logic devices will be broadly exploited.