NEURAL COMPUTATION 14:7
Terry Sejnowski
terry at salk.edu
Fri May 31 20:19:39 EDT 2002
Neural Computation - Contents - Volume 14, Number 7 - July 1, 2002
ARTICLE
A Monte Carlo EM Approach for Partially Observable Diffusion Processes:
Theory and Applications to Neural Networks
Javier R. Movellan, Paul Mineiro, R. J. Williams
NOTES
Are Visual Cortex Maps Optimized For Coverage?
Miguel A. Carreira-Perpinan and Geoffrey J. Goodhill
Kernel-Based Topographic Map Formation by Local Density Modeling
Marc M. Van Hulle
LETTERS
A Simple Model of Long-Term Spike Train Regularization
Relly Brandman and Mark E. Nelson
Spatiotemporal Spike Encoding of a Continuous External Signal
Naoki Masuda and Kazuyuki Aihara
Attractor Reliability Reveals Deterministic Structure in Neuronal Spike Trains
P.H.E. Tiesinga, J.-M. Fellous and Terrence J. Sejnowski
Traveling Waves of Excitation in Neural Field Models: Equivalence of Rate
Descriptions and Integrate-and-Fire Dynamics
Daniel Cremers and Andreas V.M. Herz
Attentional Recruitment of Inter-Areal Recurrent Networks for Selective
Gain Control
Richard H. R. Hahnloser, Rodney J. Douglas, and Klaus Hepp
CCCP Algorithms to Minimize the Bethe and Kikuchi Free Energies:
Convergent Alternatives to Belief Propagation
A. L. Yuille
Fast Curvature Matrix-Vector Products for Second-Order Gradient Descent
Nicol N. Schraudolph
Representation and Extrapolation in Multilayer Perceptrons
Antony Browne
Using Noise to Compute Error Surfaces in Connectionist Networks: A Novel
Means of Reducing Catastrophic Forgetting
Robert French and Nick Chater
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