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Circuit models of stochastic genetic networks

Author(s)
Mandal, Soumyajit; Sarpeshkar, Rahul
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.

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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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Abstract
We use analogies between chemistry and subthreshold electronics to develop fast, scalable, digitally programmable hardware models of stochastic genetic networks. We also present experimental results from a prototype 0.18 à ¿m CMOS chip that was designed for rapid simulations of gene activation, transcription and translation.
Date issued
2009-12
URI
http://hdl.handle.net/1721.1/59964
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Research Laboratory of Electronics
Journal
IEEE Biomedical Circuits and Systems Conference, 2009. BioCAS 2009.
Publisher
Institute of Electrical and Electronics Engineers
Citation
Mandal, S., and R. Sarpeshkar. “Circuit models of stochastic genetic networks.” Biomedical Circuits and Systems Conference, 2009. BioCAS 2009. IEEE. 2009. 109-112. © Copyright 2010 IEEE
Version: Final published version
Other identifiers
INSPEC Accession Number: 11051023
ISBN
978-1-4244-4917-0

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