Stochastic computing & stochastic resonance in digital & analog neuromorphic systems.

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Abstract

Stochastic computing is an alternative method to standard deterministic methods. This thesis explores stochastic resonance in a spiking neuron, and leverages the effects it has to implement stochastic computing in an analog spiking neuron, and simple neuron network. In addition, a method for interfacing a Stochastic Artificial Neural Network implemented on a Field Programmable Gate Array with a computer running MATLAB is presented.

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Stochastic computing. Stochastic resonance. Artificial neural network.
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