Logic signal processing method based on gene regulation network

Abstract

The invention discloses a logic signal processing method based on a gene regulation network. The method comprises the following steps that: step one, a periodic signal is added into an inputted logical combination signal (D1, D2) to obtain an input signal I: I=I1+I2+Asin(omegat), wherein the I1 and I2 are level values corresponding to the D1 and D2 respectively, the Asin(omegat) expresses the periodic signal, the A and omega express a signal amplitude and a frequency respectively; step two, the input signal is transmitted to a gene regulation network and the threshold of the gene regulationnetwork is set to be 0.75; step three, a delay index tau is introduced into a synthesis process of the gene regulation network and a formula I is obtained: x.=F(x)+I+Delta(t), wherein the F(x) is expressed by a formula II, the Delta(t) expresses the background noise of the gene regulation network, the gamma expresses a bias index of the gene regulation network, the x express the repressor concentration, the parameter m expresses the plasmid number in a single cell, the lambda is in direct proportion to the protein decay rate and is regulation parameter of the gene regulation network, and the sigma1, sigma2, and sigma are parameters. The logic signal processing method designed based on the gene regulation network can be applied to the gene chip design field; and the noise working range canbe effectively expanded by adding the periodic signal and nonlinear delay.

Description

technical field [0001] The invention belongs to the field of nonlinear systems, relates to the field of logic stochastic resonance, in particular to a method for constructing stochastic resonance logic gates by using a gene regulation network. Background technique [0002] In the past two decades, one of the most important discoveries in the nonlinear field is the stochastic resonance theory: when the signal-to-noise ratio and mutual information are used as measurements, the quality of the output signal of the nonlinear system can increase with the increase of the noise intensity under certain conditions. , first increases and then decreases non-monotonically. Foreign researchers have confirmed through a large number of theoretical and experimental studies that stochastic resonance phenomenon widely exists in various nonlinear circuits. [0003] The theory of logical stochastic resonance is one of the hot research topics in the field of stochastic resonance in recent years....

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Problems solved by technology

[0005] The logic stochastic resonance theory shows that for a certain nonlinear system, the accuracy of the system's analog logic varies non-monotonically with the noise intensity, that is, under weak or strong noise conditions, the system cannot output reliable logic results

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