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Neural Computation|June 13, 2006
When response variability increases neural network robustness to synaptic noiseGleb Basalyga, Emilio SalinasNeural Computation|June 13, 2006
Strongly improved stability and faster convergence of temporal sequence learning by using input correlations onlyBernd Porr, Florentin WörgötterNeural Computation|June 13, 2006
Analysis of cluttered scenes using an elastic matching approach for stereo imagesChristian Eckes, Jochen Triesch, Christoph von der MalsburgNeural Computation|June 13, 2006
How inhibitory oscillations can train neural networks and punish competitorsKenneth A Norman, Ehren Newman, Greg Detre, et al.Neural Computation|November 21, 2008
Bayesian filtering in spiking neural networks: noise, adaptation, and multisensory integrationOmer Bobrowski, Ron Meir, Yonina C EldarNeural Computation|June 25, 2009
A bound on modeling error in observable operator models and an associated learning algorithmMing-Jie Zhao, Herbert Jaeger, Michael ThonNeural Computation|February 5, 2009
Dynamical analysis of Bayesian inference models for the Eriksen taskYuan Sophie Liu, Angela Yu, Philip HolmesNeural Computation|February 5, 2009
Generation of spike trains with controlled auto- and cross-correlation functionsMichael Krumin, Shy ShohamNeural Computation|February 5, 2009
How does maintenance of network activity depend on endogenous dynamics of isolated neurons?Andrey V Olypher, Ronald L CalabreseNeural Computation|February 5, 2009
A first-order nonhomogeneous Markov model for the response of spiking neurons stimulated by small phase-continuous signalsJonathan Tapson, Craig Jin, André van Schaik, et al.Pageof 299