Connectionists: NEURAL COMPUTATION - June, 2010

[Terry Sejnowski]

Neural Computation - Contents - Volume 22, Number 6 - June 1, 2010

ARTICLE

Reward-Modulated Hebbian Learning of Decision Making
Michael Pfeiffer, Bernhard Nessler, Rodney J. Douglas, and Wolfgang Maass

NOTES

General Poisson Exact Breakdown of the Mutual Information to Study the Role
of Correlations in Populations of Neurons
A. Scaglione, K. A. Moxon, and G. Foffani

Fast and Exact Simulation Methods Applied on a Broad Range of Neuron Models
Michiel D'Haene and Benjamin Schrauwen

LETTERS

Learning to Represent Spatial Transformations with Factored
Higher-Order Boltzmann Machines
Roland Memisevic and Geoffrey Hinton

Timescale-Invariant Pattern Recognition by Feedforward Inhibition and Parallel Signal Processing
Felix Creutzig, Jan Benda, Sandra Wohlgemuth, Andreas Stumpner,
Bernhard Ronacher and Andreas Herz

Hyperbolically Discounted Temporal Difference Learning
William H. Alexander and Joshua W. Brown

Response of Integrate-and-Fire Neurons to Noisy Inputs Filtered by Synapses with Arbitrary Timescales:
Firing Rate and Correlations
Ruben Moreno-Bote and Nestor Parga

Bayesian Inference Based on Stationary Fokker-Planck Sampling
Arturo Berrones

Efficient Continuous-Time Asymmetric Hopfield Networks for Memory Retrieval
Pengsheng Zheng, Wansheng Tang, and Jianxiong Zhang

Learning the Dynamical System Behind Sensory Data
Jaehyung Lee and Soo-Young Lee

Independent Vector Analysis for Source Separation using a Mixture of Gaussians Prior
Jiucang Hao, Intae Lee, Te-Won Lee and Terrence Sejnowski

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