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Volume 22, Issue 1
January 2010
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Article

How to Modify a Neural Network Gradually Without Changing Its Input-Output Functionality
Christopher DiMattina, Kechen Zhang
Neural Computation (2010) 22 (1): 1–47.
View articletitled, How to Modify a Neural Network Gradually Without Changing Its Input-Output Functionality
Supplementary data
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Note

Current Source Density Reconstruction from Incomplete Data
Daniel K. Wójcik, Szymon Łęski
Neural Computation (2010) 22 (1): 48–60.
View articletitled, Current Source Density Reconstruction from Incomplete Data
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Letters

Spiking Neuron Model for Temporal Sequence Recognition
Sean Byrnes, Anthony N. Burkitt, David B. Grayden, Hamish Meffin
Neural Computation (2010) 22 (1): 61–93.
View articletitled, Spiking Neuron Model for Temporal Sequence Recognition
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Mean, Variance, and Autocorrelation of Subthreshold Potential Fluctuations Driven by Filtered Conductance Shot Noise
Lars Wolff, Benjamin Lindner
Neural Computation (2010) 22 (1): 94–120.
View articletitled, Mean, Variance, and Autocorrelation of Subthreshold Potential Fluctuations Driven by Filtered Conductance Shot Noise
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The Computational Structure of Spike Trains
Robert Haslinger, Kristina Lisa Klinkner, Cosma Rohilla Shalizi
Neural Computation (2010) 22 (1): 121–157.
View articletitled, The Computational Structure of Spike Trains
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On the Use of Dynamic Bayesian Networks in Reconstructing Functional Neuronal Networks from Spike Train Ensembles
Seif Eldawlatly, Yang Zhou, Rong Jin, Karim G. Oweiss
Neural Computation (2010) 22 (1): 158–189.
View articletitled, On the Use of Dynamic Bayesian Networks in Reconstructing Functional Neuronal Networks from Spike Train Ensembles
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Visuotactile Representation of Peripersonal Space: A Neural Network Study
Elisa Magosso, Melissa Zavaglia, Andrea Serino, Giuseppe di Pellegrino, Mauro Ursino
Neural Computation (2010) 22 (1): 190–243.
View articletitled, Visuotactile Representation of Peripersonal Space: A Neural Network Study
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Discrete States of Synaptic Strength in a Stochastic Model of Spike-Timing-Dependent Plasticity
Terry Elliott
Neural Computation (2010) 22 (1): 244–272.
View articletitled, Discrete States of Synaptic Strength in a Stochastic Model of Spike-Timing-Dependent Plasticity
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Hebbian Self-Organizing Integrate-and-Fire Networks for Data Clustering
Florian Landis, Thomas Ott, Ruedi Stoop
Neural Computation (2010) 22 (1): 273–288.
View articletitled, Hebbian Self-Organizing Integrate-and-Fire Networks for Data Clustering
Supplementary data
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