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Filters: Author is Conrad,Michael  [Clear All Filters]
1998
Conrad M. Towards high evolvability dynamics. In: Evolutionary Systems. Biological and Epistemological Perspectives on Selection and Self-Organization. Dordrecht: Kluwer; 1998. p. 33-43.
1995
Conrad M. Biomaterials for intelligent systems. In: Handbook of Brain Theory and Neural Networks. Cambridge, MA: MIT Press; 1995. p. 159-62.
Smalz R, Conrad M. Evolutionary credit apportionment and its application to time-dependent neural processing. BioSystems. 1995;34:161-72.
Conrad M. Multiscale synergy in biological information processing. Optical Computing and Neural Networks. 1995;4:89-98.
Conrad M. Scaling of efficiency in programmable and nonprogrammable systems. BioSystems. 1995;35:161-6.
1994
Conrad M. Amplification of superpositional effects through electronic-conformational interactions. Chaos, Solitons, and Fractals. 1994;4:423-38.
Smalz R, Conrad M. Combining evolution with credit apportionment: A new learning algorithm for neural nets. Neural Networks. 1994;7:341-51.
Jeffries JW, Conrad M. Face recognition as a task environment for the reference neuron model of memory. BioSystems. 1994;33:155-66.
Conrad M. From brain structure to vacuum and back again: The great chain of being model. Nanobiology. 1994;3:99-121.
Chen J-, Conrad M. A multilevel neuromolecular architecture that uses the extradimensional bypass principle to facilitate evolutionary learning. Physica. 1994;D 75:417-37.
1993
Conrad M. Biophysicalism. Applied Mathematics and Computation. 1993;56:103-9.
Conrad M. Emergent computation through self-assembly. Nanobiology. 1993;2:5-30.
Conrad M. The fluctuon model of force, life, and computation: A constructive analysis. Applied Mathematics and Computation. 1993;56:203-59.
Conrad M. Fluctuons I. Operational analysis. Chaos, Solitons and Fractals. 1993;3:411-24.
Conrad M. Fluctuons II. Electromagnetism. Chaos, Solitons and Fractals. 1993;3:563-73.
Conrad M. Harnessing quantum mechanical parallelism for the control of membrane electrochemistry. In: Electricity and Magnetism in Biology and Medicine. San Francisco: San Francisco Press; 1993. p. 181-3.
Chen J-, Conrad M. Learning synergy in a multilevel neuronal architecture. BioSystems. 1993;32:111-42.
1992
Conrad M. Molecular computing: The lock-key paradigm. Computer. 1992;25(11):11-20.
Conrad M. Quantum molecular computing: The self-assembly model. International Journal of Quantum Chemistry: Quantum Biology Symposia. 1992;19:125-43.
Conrad M. The seed germination model of enzyme catalysis. BioSystems. 1992;27:223-33.
O'Callaghan J, Conrad M. Symbiotic interactions in the EVOLVE III ecosystem model. BioSystems. 1992;26:199-209.
1991
Smalz R, Conrad M. A credit apportionment algorithms for evolutionary learning with neural networks. In: Neurocomputers and Attention II: Connectionism and Neurocomputers. Manchester: Manchester University Press; 1991. p. 663-73.
Conrad M. Electronic instabilities in biological information processing. In: Molecular Electronics. Dordrecht: Kluwer; 1991. p. 41-50.
Kirby K, Conrad M, Kampfner RR. Evolutionary learning in reaction-diffusion neurons. Applied Mathematics and Computation. 1991;44:223-63.
Conrad M. Neuromolecular computing: An overview. Proceedings of the 13th Annual IEEE-EMBS Conference. 1991;13(4):1781-2.