Neural Computation 8:1

[Terry Sejnowski]

NEURAL COMPUTATION Vol 8, Issue 1, January 1996

Article:

Lower Bounds for the Computational Power of Networks of Spiking Neurons
   Wolfgang Maass

Note:

A Short Proof of the Posterior Probability Property of Classifier Neural
Networks
   Raul Rojas

Letters:

Coding of Time-Varying Signals in Spike Trains of Integrate-and-Fire Neurons
with Random Threshold
   Fabrizio Gabbiani and Christof Koch

A Simple Spike Train Decoder Inspired by the Sampling Theorem
   William B Levy and David A. August

A Model of Spatial Map Formation in the Hippocampus of the Rat
   Kenneth I. Blum and L. F. Abbott

A Neural Model of Olfactory Sensory Memory in the Honeybee's Antennal Lobe
   Christiane Linster and Claudine Masson

A Spherical Basis Function Neural Network for Modeling  Auditory Space
   Rick L. Jenison and Kate Fissell

On The Convergence Properties of the Em Algorithm for Gaussian Mixtures
   Lei Xu and Michael I. Jordan

A Comparison of Some Error Estimates for Neural Network Models
   Robert Tibshirani

Neural Networks for Optimal Approximation of Smooth and Analytic Functions
   H. N. Mhaskar

Equivalence of Boltzmann Chains and Hidden Markov Models
   David J. C. MacKay

Diagrammatic Derivation of Gradient Alforithms for Neural Network
   Eric A Wan and Francoise Beaufays

Does Extra Knowledge Necessarily Improve Generalization
   David Barber and David Saad

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