Connectionists: NEURAL COMPUTATION - January, 2010

[Terry Sejnowski]

Neural Computation - Contents - Volume 22, Number 1 - January 1, 2010

ARTICLE
How to Modify a Neural Network Gradually Without Changing its Input-Output Functionality
Christopher DiMattina and Kechen Zhang

NOTE
Current Source Density Reconstruction from Incomplete Data
Daniel Wojcik and Szymonleski

LETTERS         
Spiking Neuron Model for Temporal Sequence Recognition
Sean Byrnes, Anthony N. Burkitt, David B. Grayden, and Hamish Meffin

Mean, Variance, and Autocorrelation of Subthreshold Potential Fluctuations
Driven by Filtered Conductance Shot Noise
Lars Wolff and Benjamin Lindner

The Computational Structure of Spike Trains
Robert Haslinger, Kristina Lisa Klinker, and Cosma Rohilla Shalizi

On The Use of Dynamic Bayesian Networks in Reconstructing
Functional Neuronal Networks from Spike Train Ensembles
Seif Eldawlatly, Yang Zhou, Rong Jin, and Karim G. Oweiss

Visuotactile Representation of Peripersonal Space: A Neural Network Study
Elisa Magosso, Melissa Zavaglia1, Andrea Serino, Giuseppe di Pellegrino, and Mauro Ursino

Discrete States of Synaptic Strength in a Stochastic Model of Spike-Timing-Dependent Plasticity
Terry Elliott

Hebbian Self-Organizing Integrate-and-Fire Networks for Data Clustering
Florian Landis, Thomas Ott, and Reudi Stoop

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