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A Hybrid Bio-inspired System: Hardware Spiking Neural Network Incorporating Hebbian Learning with Microprocessor Based Evolutionary Control Algorithm

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3 Author(s)
D. Allen ; Institute of Sound and Vibration, University of Southampton, Southampton, SO17 1BJ ; D. M. Halliday ; A. M. Tyrrell

The objective of the work reported in this paper was the development of an application that combined evolution and learning on a hardware platform. This was achieved on two different platforms: a COTS FPGA and a new device specifically designed for bio-inspired implementations, termed the POEtic chip. The learning process is based around a spiking neural network with Hebbian learning.

Published in:

2006 IEEE International Conference on Evolutionary Computation

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