Phill Rowcliffe

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In this paper, spiking neuronal models employing means, variances, and correlations for computation are introduced. We present two approaches in the design of spiking neuronal networks, both of which are applied to engineering tasks. In exploring the input-output relationship of integrate-and-fire (IF) neurons with Poisson inputs, we are able to define(More)
An algorithm is developed to produce self-organisation of a purely excitatory network of Integrate-and-Fire (IF) neurons, receiving input from a visual scene. The work expands on a clustering algorithm, previously developed for Biological Oscillators, which self-organises similar oscillators into groups and then clusters these groups together. Pixels from(More)
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