Bio-inspired collective analog computation

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.

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2012

Author dc:creator

• Woo, Sung Sik, Ph. D. Massachusetts Institute of Technology

Advisor dc:contributor.advisor

• Rahul Sarpeshkar.

• Electrical Engineering and Computer Science.

Statement dc:rights

• M.I.T. theses 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. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/78365

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/78365