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In Vitro Transcriptional Circuits

Winfree, Erik (2001) In Vitro Transcriptional Circuits. In: Unconventional Models of Computation, UMC’2K. Discrete Mathematics and Theoretical Computer Science. Springer , London, pp. 121-122. ISBN 978-1-85233-415-4. https://resolver.caltech.edu/CaltechAUTHORS:20200812-123245128

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Abstract

The structural similarity of neural networks and genetic regulatory networks to digital circuits, and hence to each other, was noted from the very beginning of their study [7,5]. Generic properties of both types of network have been analyzed using the same class of abstract models [3]. The same rate equations proposed for recurrent neural networks [4] have been used, with a few embellishments, to model genetic regulatory circuits controlling development of Drosophila embryos [6]. However, whereas research in neural networks has a long history of both analytic approaches, aimed at understanding the brain, and synthetic approaches, aimed at creating intelligent machines, research in genetic regulatory networks has been entirely analytic prior to very recent work implementing small synthetic genetic regulatory networks in E. Coli [8, 1, 2]. Although genetic regulatory systems are not fast, they are small; E. coli is one cubic micron yet it contains thousands of regulated genes.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1007/978-1-4471-0313-4_10DOIArticle
https://rdcu.be/b6dWJPublisherFree ReadCube access
ORCID:
AuthorORCID
Winfree, Erik0000-0002-5899-7523
Additional Information:© 2001 Springer-Verlag London.
Subject Keywords:Intelligent Machine; Recurrent Neural Network; Digital Circuit; Ring Oscillator; Drosophila Embryo
Series Name:Discrete Mathematics and Theoretical Computer Science
DOI:10.1007/978-1-4471-0313-4_10
Record Number:CaltechAUTHORS:20200812-123245128
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20200812-123245128
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:104934
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:12 Aug 2020 20:54
Last Modified:16 Nov 2021 18:37

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