Noise-aided computation within a synthetic gene network through morphable and robust logic gates.

  title={Noise-aided computation within a synthetic gene network through morphable and robust logic gates.},
  author={Anna Dari and Behnam Kia and Xiao Wang and Adi R. Bulsara and William L. Ditto},
  journal={Physical review. E, Statistical, nonlinear, and soft matter physics},
  volume={83 4 Pt 1},
  • A. DariBehnam Kia W. Ditto
  • Published 11 April 2011
  • Engineering
  • Physical review. E, Statistical, nonlinear, and soft matter physics
An important goal for synthetic biology is to build robust and tunable genetic regulatory networks that are capable of performing assigned operations, usually in the presence of noise. In this work, a synthetic gene network derived from the bacteriophage λ underpins a reconfigurable logic gate wherein we exploit noise and nonlinearity through the application of the logical stochastic resonance paradigm. This biological logic gate can emulate or "morph" the AND and OR operations through varying… 

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It is shown how the input-output correspondence can be controlled by an external exponentially correlated dichotomous noise optimizing the logical response which exhibits a maximum at an intermediate value of correlation time.



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