Thomas F. Clayton

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This paper compares three common evolutionary algorithms and our modified GA, a Distributed Adaptive Genetic Algorithm (DAGA). The optimal approach is sought to adapt, in near real-time, biological model behaviour to that of real biology within a laboratory. Near real-time adaptation is achieved with a Graphics Processing Unit (GPU). This, together with(More)
— Poisson distributed spike trains are often used as the input to VLSI implementations of spiking neural networks. However, it can be difficult to generate large truly random spike distributions which can be easily applied as input to a chip. This work presents results recorded from an avalanche photo diode which demonstrates that it can be used to create a(More)
This paper introduces a novel probabilistic spike-response model through the combination of avalanche diode-generated Poisson distributed noise, and a standard exponential decay-based spike-response curve. The noise source, which is derived from a 0.35-μm single-photon avalanche diode (kept in the dark), was tested experimentally to verify its(More)
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