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

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    Date
    2020-11-17
    Author
    Boline, Jacob, 1992-
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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.
    URI
    https://hdl.handle.net/2104/11209
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    Copyright © Baylor® University All rights reserved. Legal Disclosures.
    Baylor University Waco, Texas 76798 1-800-BAYLOR-U
    Baylor University Libraries | One Bear Place #97148 | Waco, TX 76798-7148 | 254.710.2112 | Contact: libraryquestions@baylor.edu
    If you find any errors in content, please contact librarywebmaster@baylor.edu
    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
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    Atmire NV