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NEURON UNIT ARRAYS AND
NATURE/NURTURE ADAPTATION FOR
PHOTONIC MULTICHIP MODULES
by
Jaw-Chyng Lormen Lue
A Dissertation Presented to the
FACULTY OF THE GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALFORNIA
In Partial Fulfillment of the
Requirements for the Degree
DOCTOR OF PHILOSOPHY
(ELECTRICAL ENGINEERING)
December 2007
Copyright 2007 Jaw-Chyng Lormen Lue
Object Description
| Title | Neuron unit arrays and nature/nurture adaptation for photonic multichip modules |
| Author | Lue, Jaw-Chyng Lormen |
| Author email | lormen@gmail.com |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Electrical Engineering |
| School | Viterbi School of Engineering |
| Date defended/completed | 2007-10-25 |
| Date submitted | 2007 |
| Restricted until | Unrestricted |
| Date published | 2007-12-01 |
| Advisor (committee chair) | Tanguay, Armand R., Jr. |
| Advisor (committee member) |
Jenkins, B. Keith O'Brien, John D. Beiderman, Irving |
| Abstract | To implement a previously proposed 3-D hybrid electronic/photonic multichip module (PMCM) (mimicking a primate retina structure) capable of low-latency, high-throughput, parallel-processing computations, several critical hardware components are designed, fabricated, and tested. All components are made of MOSIS 1.5 mm n-well BiCMOS (bipolar complimentary metal oxide silicon) fabrication process.; A 12-by-12 dual-input, dual-output silicon neuron unit array chip has been fabricated, and characterized. A desired sigmoid-shape optical output from a vertical surface emitting laser (VCSEL) driven by this chip (with a linear-optical-input) was obtained. A logarithmic amplifier circuitry has been fabricated, and characterized. The dynamic range of its sensed brightness is multiple decades wide. This bipolar-based circuit's high sensitivity at low input signal range can improve the overall optical responsivity of the PMCM if it is integrated. A floating gate design is verified to be a good candidate for the long-term analog weight storage. The floating gate controlled channel resistance can represent the lateral weighted interconnection in the PMCM. A preliminary active pixel sensor design is also characterized, and evaluated for weight storage. Physical constraints, trade-offs, and relationships among the components for optimizing the performance of the PMCM are discussed.; Software-wise, an artificial neural learning algorithm (Nature/Nurture algorithm) is developed for modeling the PMCM. This algorithm describes the weight updating rules for both the vertical fixed (nature-like) and the lateral adaptive (nurture-like) weighted interconnections in the PMCM. The learning algorithm for the lateral weight adaptations is new, and derived based on the multi-layer error back-propagation (BP) supervised learning algorithm using gradient descent method. Results from a simple optical character recognition (OCR) simulation show: (1) A PMCM with only one hidden neuron layer is sufficient to perform the OCR. (2) The Nature/Nurture trained neural network can recognize well the new modified patterns (generated from the original patterns) after the lateral weight adaptations. (3) A neural network similar to the pathways of the PMCM with local connectivity (only 9 vertical and 8 lateral interconnections from each neuron) can also perform pattern recognition with acceptable recognition rate. |
| Keyword | back-propagation based Nature/Nurture algorithm; photonic multichip module; lateral weight adaptation; ASIC VLSI neuron unit; pattern recognition; artificial intelligence; interpenetrating neural |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Type | texts |
| Legacy record ID | usctheses-m960 |
| Rights | Lue, Jaw-Chyng Lormen |
| Repository name | Libraries, University of Southern California |
| Repository address | Los Angeles, California |
| Repository email | http://www.usc.edu/isd/libraries/services/ask_a_librarian/email/ |
| Filename | etd-Lue-20071201 |
| Archival file | uscthesesreloadpub_Volume40/etd-Lue-20071201.pdf |
Description
| Title | Page 1 |
| Full text | NEURON UNIT ARRAYS AND NATURE/NURTURE ADAPTATION FOR PHOTONIC MULTICHIP MODULES by Jaw-Chyng Lormen Lue A Dissertation Presented to the FACULTY OF THE GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (ELECTRICAL ENGINEERING) December 2007 Copyright 2007 Jaw-Chyng Lormen Lue |
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