"Mixed-Signal Neural Network Implementation with Programmable Neuron" by Bahar Youssefi

Date of Award

2018

Publication Type

Doctoral Thesis

Degree Name

Ph.D.

Department

Electrical and Computer Engineering

Supervisor

Mirhassani, Mitra

Supervisor

Wu, Jonathan

Rights

info:eu-repo/semantics/openAccess

Abstract

This thesis introduces implementation of mixed-signal building blocks of an artificial neural network; namely the neuron and the synaptic multiplier. This thesis, also, investigates the nonlinear dynamic behavior of a single artificial neuron and presents a Distributed Arithmetic (DA)-based Finite Impulse Response (FIR) filter. All the introduced structures are designed and custom laid out.

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