Koziol, Scott M.2021-01-282021-01-282020-122020-11-17December 2https://hdl.handle.net/2104/11209Stochastic 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.application/pdfenStochastic computing. Stochastic resonance. Artificial neural network.Stochastic computing & stochastic resonance in digital & analog neuromorphic systems.ThesisNo access – contact librarywebmaster@baylor.edu2021-01-28