Applications of Emergent Phenomena - Systematic Design for Emergence in Cellular Nonlinear Networks - page 157

63. Draganescu M, Kafatos M Community and social factors for integrative science,

available from http://www.racai.ro/~dragam

64. Varela F, Maturana H, Uribe R (1974) Autopoiesis: the organization of living systems,

its characterization and a model, Biosystems 5: 187

65. Y. Lu (1995) Machine printed character segmentation - an overview. Pattern Recogni-

tion 28(1): 67-80.

66. Dascalu M, Franti E (2000) Implementation of totalistic cellular automata, in

Proceedings CAS 2000: 273-276.

67. Gutowitz HA (1993) Cryptography with dynamical systems, Cellular Automata and

Cooperative Phenomena (E. Goles at al. eds.). Kluwer, Dordecht.

68. Junshui Ma, Yi Zhao, and Stanley Ahalt, OSU SVM Classifier Matlab Toolbox (ver

3.00), available from http://www.ece.osu.edu/~maj/osu_svm/

69. Dogaru R, Glesner M (2004) SORT: a fast and compact neural classifier based on a

sorting preprocessor, in Proceedings of Second International IEEE Conference Intelli-
gent Systems, vol. 1, pp. 71-75.

70. Dogaru R, Julian P, Chua LO, Glesner M (2002) The simplicial neural cell and its

mixed-signal circuit implementation: an efficient neural-network architecture for
intelligent signal processing in portable multimedia applications, IEEE Trans. Neural
Netw. 13(4): 995-1008.

71. Martinez GJ, McIntosh HV, Seck Tuoh Mora JC (2003) Production of gliders by

collisions in rule 110, in ECAL 2003, LNAI 2801, pp. 175-182.

72. Tomassini M, Perrenoud M (2000) Stream Cyphers with one- and two-dimensional

cellular automata, in Proceedings of the Sixth International Conference on Parallel
Problem Solving from Nature: 722-731.

73. Wuensche A (1998) Classifying cellular automata automatically, Complexity 4 (3):

47-66.

74. Bilotta E, Lafusa A, Pantano P (2002) Is self-replication an embedded characteristic of

artificial/living matter?, in Artificial Life VIII, Standish, Abbas, Bedau (eds), MIT
Press, Cambridge, MA, pp. 38-48.

75. Lafusa A, Bossomaier T (2005) Hyperplane localisation of self-replicating and other

complex cellular automata rules, in Proceedings of IEEE Congress on Evolutionary
Computation, 2-5 Sept. 2005, vol. 1, pp. 844-849.

76. Chua LO, Sbitnev VI, Yoon S (2004) A nonlinear dynamics perspective of Wolfram's

new kind of science. Part III: Predicting the unpredictable, Int. J. Bifur. Chaos, 14,
3689-3820.

77. Chua LO, Sbitnev VI, Yoon S (2005) A nonlinear dynamics perspective of Wolfram's

new kind of science. Part IV: From Bernoulli shift to 1/f spectrum. Int. J. Bifur. Chaos
15(4): 1045-1183.

78. Langton CG (1984) Self-reproduction in cellular automata. Physica D 10: 135-144.

79. Jaeger H, Haas H (2004) Harnessing nonlinearity: predicting chaotic systems and

saving energy in wireless communication, Science 304, pp.78-80.

80. Maass W, Natschläger T, Markram H, (2004) Computational models for generic

cortical microcircuits, in Computational Neuroscience: A Comprehensive Approach,
Ch 18, pp. 575-605.

81. Legenstein R, Maas W (2005) What makes a dynamical system computationally

powerfull?”, in Haykin, Principe Sejnowsky and McWhirter (Eds.), New Directions in
Statistical Signal Processing: From Systems to Brain, MIT Press, Cambridge, MA.