Finite-State Channel Models for Signal Transduction in Neural Systems
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 18 Sep 2016.
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