## Neural networks for computing, Snowbird, UT, 1986 |

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Contents

Introduction ix | 1 |

Concepts in Connectionist Models | 17 |

Caging and Exhibiting Ultrametric Structures | 35 |

Copyright | |

25 other sections not shown

### Common terms and phrases

1986 American Institute activity algorithm amplifiers amplitude analog annealing array associative memory attractors axon basins of attraction behavior binary Boltzmann machine capacity cells chip circuit components connections convergence Copyright 1986 American correlation corresponding cortex decoding dendrite distribution dynamics eigenvalues eigenvectors elements encoding energy equation error example excitatory feature feedback Figure fixed points frequency function gradient descent Hamming distance Hebbian implementation inhibition inhibitory initial input pattern input vector Institute of Physics interaction iterations J. J. Hopfield layer linear Lyapunov function minimize neurons nodes noise nonlinear operation optical optimal outer product output parallel parameters pattern recognition performance permutation matrix pixel present problem Proc processor random requires resistors shown signal simulated annealing simulations solve space spin glass stable stimulus storage stored structure switching symmetric synaptic theory threshold tion tree ultrametric units update values vector voltage weights zero