Neural Circuit Building Blocks For Showing Stochastic Resonance Using Custom Integrated Circuits

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dc.contributor.advisorKoziol, Scott
dc.contributor.authorBrown, Nathaniel
dc.contributor.departmentElectrical and Computer Engineering.en_US
dc.contributor.otherBaylor University.en_US
dc.contributor.schoolsHonors College - Honors Programen_US
dc.date.accessioned2021-05-20T16:43:34Z
dc.date.available2021-05-20T16:43:34Z
dc.date.copyright2021
dc.date.issued2021-05-20
dc.description.abstractResearch has been done on various neural circuits, and the next step in many cases is creating a physical implementation. Programmable technologies such as the Field Programmable Analog Array (FPAA) combined with helper tools can allow circuit construction at high or low levels of detail, partly bridging the gap between simulation and implementation. This thesis combines previous research on silicon neurons with generating stochastic random numbers, targeting how it may be applied to stochastic resonance and implemented on an FPAA. Particular focus is given to converting a noise amplifier into a form with adjustable variance. Documenting the process of designing circuits for a hardware realization on the FPAA will provide guidance for similar work in the future and make it easier to build up to testing the theory of stochastic resonance.en_US
dc.identifier.urihttps://hdl.handle.net/2104/11302
dc.language.isoen_USen_US
dc.rightsBaylor University projects are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact libraryquestions@baylor.edu for inquiries about permission.en_US
dc.rights.accessrightsWorldwide access.en_US
dc.rights.accessrightsAccess changed 9/21/23.
dc.subjectNeuromorphic computing.en_US
dc.subjectField Programmable Analog Array.en_US
dc.subjectFPAA.en_US
dc.subjectSilicon neurons.en_US
dc.subjectStochastic resonance.en_US
dc.titleNeural Circuit Building Blocks For Showing Stochastic Resonance Using Custom Integrated Circuitsen_US
dc.typeThesisen_US

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