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The cell state transition rule re ects the nonlinearity of activator inhibitor interactions for subthreshold concentrations of the activator. Namely, for small concentration of the inhibitor and for threshold concentrations, the activator is suppressed by the inhibitor, while for critical concentrations of the inhibitor both inhibitor and activator dissociate producing the substrate. In exact words, M01 = A symbolizes the diffusion of activator A, M11 = I represents the suppression of activator A by the inhibitor I, and Mz2 = I (z = 0, , 5) can be interpreted as self-inhibition of the activator in particular concentrations. Mz3 = A (z = 0, . . . , 4) means a sustained excitation under particular concentrations of the activator. Mz0 = S (z = 1, . . . , 7) means that the inhibitor is dissociated in absence of the activator, and that the activator does not diffuse in subthreshold concentrations. And, nally, Mzp = I, p 4 is an upper-threshold self-inhibition. Among nontrivial localizations, see full catalog in the work by Adamatzky and Wuensche Study [8], found in the medium we selected eaters gliders G4 and G34 , mobile localizations with activator head and inhibitor tail, and eaters E6 , stationary localizations transforming gliders colliding into them, as components of the memory unit. The eater E6 can play the role of a six-bit ip- op memory device. The substrate sites (bit-down) between inhibitor sites (Fig. 5.11) can be switched to an inhibitor state (bit-up) by a colliding glider. An example of writing one bit of information in E6 is shown in Figure 5.12. Initially, E6 stores no information. We aim to write one bit in the substrate site between the northern and northwestern inhibitor sites (Fig. 5.12a). We

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2 Balaban AT, Tomescu I Algebraic expressions for the number of Kekul structure of e isoarithmic catacondensed benzenoid polycyclic hydrocarbons Match 1983;14:155 182 3 Balasubramanian K, Kaufman JJ, Koski WS, Balaban AT Graph theoretical characterisation and computer generation of certain carcinogenic benzenoid hydrocarbons and identi cation of bay regions J Comput Chem 1980;1:149 157 4 Bergan JL, Cyvin BN, Cyvin SJ The Fibonacci numbers and Kekul structures of some e corona-condensed benzenoids (corannulenes) Acta Chim Hung 1987;124:299 5 Bodroza O, Gutman I, Cyvin SJ, Tosic R Number of Kekul structures of hexagon-shaped e benzenoids J Math Chem 1988;2:287 298 6 Brinkmann G Isomorphism rejection in structure generation programs In: Hansen P, Fowler P, Zheng M, editors Discrete Mathematical Chemistry Providence, RI: American Mathematical Society; 2000 p 25 38 7 Brinkmann G, Caporossi G, Hansen P A constructive enumeration of fusenes and benzenoids J Algorithm 2002;45:155 166 8.

Brinkmann G, Caporossi G, Hansen P A survey and new results on computer enumeration of polyhex and fusene hydrocarbons J Chem Inform Comput Sci 2003;43:842 851 9 Brunvoll J, Cyvin BN, Cyvin SJ Benzenoid chemical isomers and their enumeration Topics in Current Chemistry Volume 162 Springer-Verlag; 1992 10 Brunvoll J, Cyvin SJ, Gutman I, Tosic R, Kovacevic M Enumeration and classi cation of coronoid hydrocarbons J Mol Struct (Theochem) 1989;184:165 177 11 Brunvoll J, Tosic R, Kovacevic M, Balaban AT, Gutman I, Cyvin SJ Enumeration of catacondensed benzenoid hydrocarbons and their numbers of Kekul structures Rev Roumaine e Chim 1990;35:85 12 Caporossi G, Hansen P Enumeration of polyhex hydrocarbons to h = 21 J Chem Inform Comput Sci 1998;38:610 619 13 Cvetkovic D, Doob M, Sachs H Spectra of Graphs, Theory and Applications New York: Academic Press; 1980 14 Cyvin BN, Brunvoll J, Cyvin SJ.

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