Reconfigurable analogue hardware evolution of adaptive spiking neural network controllers
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Investigating the Suitability of FPAAs for Evolved Hardware Spiking Neural Networks
ICES '08 Proceedings of the 8th international conference on Evolvable Systems: From Biology to Hardware
Reconfigurable hardware evolution platform for a spiking neural network robotics controller
ARC'07 Proceedings of the 3rd international conference on Reconfigurable computing: architectures, tools and applications
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The goals of this research are to examine the possibility of intrinsically evolving analogue neural networks on a Field Programmable Analogue Array (FPAA). This paper discusses initial progress in this area by detailing the hardware implementation of three reconfigurable neuron models on an FPAA. Also discussed are possible techniques to allow dynamic reconfiguration of network connectivity and the plausibility of applying Evolutionary Algorithms to automate the discovery of neural network solutions.