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.
['Andrew W. Eckford', 'Kenneth A. Loparo', 'Peter J. Thomas']
Finite-state channel models for signal transduction in neural systems