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arXiv · 1609.05517

Finite-State Channel Models for Signal Transduction in Neural Systems

Andrew W. Eckford·Kenneth A. Loparo·Peter J. Thomas
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Abstract

Information theory provides powerful tools for understanding communication systems. This analysis can be applied to intercellular signal transduction, which is a means of chemical communication among cells and microbes. We discuss how to apply information-theoretic analysis to ligand-receptor systems, which form the signal carrier and receiver in intercellular signal transduction channels. We also discuss the applications of these results to neuroscience.

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Andrew W. Eckford, Kenneth A. Loparo, Peter J. Thomas. 2016-09-18. Finite-State Channel Models for Signal Transduction in Neural Systems. https://doi.org/10.1109/icassp.2016.7472889

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