Finite-State Channel Models for Signal Transduction in Neural Systems
  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, and Peter J. Thomas
q-bio.QM cs.IT math.IT q-bio.NC