The characterization of biological systems in terms of communication performance is currently limited. In this paper, an iterative method is presented for evaluating mutual information in molecular communication systems composed of genetically engineered cells, based on an indirect non-parametric estimation of probability density functions. Results are presented based on the application of this method to proof-of-concept in-silico data generated via stochastic simulation.
An Iterative Approach for Estimating Information Exchange in Cell-to-cell Molecular Communication
RATTI, FRANCESCA;M. Magarini;
2019-01-01
Abstract
The characterization of biological systems in terms of communication performance is currently limited. In this paper, an iterative method is presented for evaluating mutual information in molecular communication systems composed of genetically engineered cells, based on an indirect non-parametric estimation of probability density functions. Results are presented based on the application of this method to proof-of-concept in-silico data generated via stochastic simulation.File in questo prodotto:
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