Bio-inspired collective analog computation
Name
834095267-MIT.pdf
Description
Full printable version
Size
22.92 MB
Format
Adobe PDF
Checksum (MD5)
b121f9c198f95db2f7bb21beed08a3b1
Author(s)
Woo, Sung Sik, Ph. D. Massachusetts Institute of Technology
Advisor(s)
Rahul Sarpeshkar.
Date Issued
2012
Publisher
Massachusetts Institute of Technology
Abstract
In this thesis, I present electronic circuit systems that mimic collective analog com- putation found in biology. By combining the advantages of analog and digital computation, these systems can lead to highly complex, rapid, and energy-efficient systems such as an analog supercomputer that is capable of simulating a great number of bio- chemical reactions in cells. To this end, I first implement a neuron-inspired collective analog adder in a standard 0.5 [mu]m CMOS process. It serves as a prototype system that visualizes fundamental design ideas and techniques for building a collective analog computation system. Next, I build a cell-inspired analog circuit system which efficiently models bacterial genetic circuits in a cell, which can provide a powerful modeling and simulation tool for the design and analysis of circuits in synthetic and systems biology.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (p. 101-102).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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