1991 Lectures in Complex Systems: The Proceedings of the 1991 Complex Systems Summer School, Santa Fe, New Mexico, June 1991
Lynn Nadel, Daniel L. Stein, Santa Fe Institute (Santa Fe, N.M.)
Addison-Wesley, 1992 - Science - 475 pages
For four years the Complex Systems Summer School has contributed greatly to education and research into complex systems. 1991 Lectures in Complex Systems presents a wide array of topics in the field, including neural network models for pattern recognition, pattern formation in biological systems, artificial life, ordering condensed matter, fractal time dynamics, cellular automata, complex pattern recognition, and random boolean networks. This book is a compilation of many of the lectures and contributions of the 1991 Complex Systems Summer School, and compliments the previous volumes in this series, Lectures in the Sciences of Complexity edited by Daniel Stein, 1989 Lectures in Complex Systems edited by Erica Jen, and 1990 Lectures in Complex Systems edited by Lynn Nadel and Daniel Stein.
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Neural Network Models for Pattern Recognition
Impulse Activity and the Patterning of Connections During
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activity Addison-Wesley Aplysia Artificial asynchronous update attractors automaton axons behavior bifurcation biological Boolean functions cell cellular automata chaos chaotic Complex Systems components configuration context convergence cortex crystal cycles defects defined diffusion discussed distribution dynamics effect energy epistatic equations error evolution example field fitness landscape fractal ganglion gene genetic genotype global gradient GTYPE hyperbolic fixed point initial input interactions lattice learning length loop Lyapunov exponents magnetic mechanisms motor neurons Mpitsos neural network Neurosci NKC models nodes nonlinear occur order parameter order parameter space organisms oscillations output pattern formation Pleurobranchaea population possible problem produce propagating PTYPE random reaction-diffusion rules Santa Fe Institute Sciences of Complexity selection self-organizing signal simple simulations sorting networks specific stochastic layer string structure studies superconductors superfluid symmetry synaptic synchronous theory tion transition transmitters variables vector visual visual cortex waves