Signal Processing in Stochastic Biochemical Systems With Information Theory
Biochemical networks can respond to temporal characteristics of time-varying signals.To understand how reliably biochemical networks can transmit information we must consider how an input signal as a function of time-the input trajectory-can be mapped onto an output trajectory.Here we estimate the instantaneous mutual information between input and output trajectories using a Gaussian model.By calculating the mutual information for instantaneous measurements of biochemical systems for a Gaussian model,we quantify the in uence of the macroscopic elasticity of a transcriptional regulatory network on its ability to process environmental signals.we study the maximum mutual information between the input (chemical)signal and the output (genetic)response attainable by the network in the context of an analytic model of particle number uctuations.
CHEN Aimin WANG Junwei
Institute of Applied Mathematics,Henan University,Kaifeng 475004,Henan,P.R.China School of Mathemati School of Informatics,Guangdong University of Foreign Studies,Guangzhou 510006,P.R.China
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-5
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）