2026-09-19T16:44:12Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/783652022-01-13T07:54:01Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Rahul Sarpeshkar.
Woo, Sung Sik, Ph. D. Massachusetts Institute of Technology
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2013-04-12T15:14:24Z
2013-04-12T15:14:24Z
2012
2012
http://hdl.handle.net/1721.1/78365
834095267
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).
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.
by Sung Sik Woo.
S.M.
102 p.
eng
Massachusetts Institute of Technology
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.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Bio-inspired collective analog computation
Thesis
application/pdf
false
Publication
unknown
unknown
<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="27f290fd-b08f-421c-8fb9-0680a4c70bab">
<Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type>
<Language>eng</Language>
<Title>Bio-inspired collective analog computation</Title>
<PublishedIn>
<Publication>
</Publication>
</PublishedIn>
<PublicationDate>2012</PublicationDate>
<Authors>
<Author>
<DisplayName>Woo, Sung Sik, Ph. D. Massachusetts Institute of Technology</DisplayName>
<Affiliation>
<OrgUnit>
</OrgUnit>
</Affiliation>
</Author>
</Authors>
<Editors>
</Editors>
<Publishers>
<Publisher>
<DisplayName>Massachusetts Institute of Technology</DisplayName>
<OrgUnit />
</Publisher>
</Publishers>
<License>http://dspace.mit.edu/handle/1721.1/7582</License>
<Keyword>Electrical Engineering and Computer Science.</Keyword>
<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.</Abstract>
<Access xmlns="http://purl.org/coar/access_right"
>
</Access>
</Publication>