Finite-State Channel Models for Signal Transduction in Neural Systems

Research paper by Andrew W. Eckford, Kenneth A. Loparo, Peter J. Thomas

Indexed on: 18 Sep '16Published on: 18 Sep '16Published in: arXiv - Quantitative Biology - Quantitative Methods

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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.

Finite-State Channel Models for Signal Transduction in Neural Systems

Abstract

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Finite-State Channel Models for Signal Transduction in Neural Systems

Abstract

More like this:

The torso pathway in Drosophila: lessons on receptor tyrosine kinase signaling and pattern formation.

Transmembrane communication: general principles and lessons from the structure and function of the M2 proton channel, K⁺ channels, and integrin receptors.

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