Connectionists: NEURAL COMPUTATION - February, 2009

[Terry Sejnowski]

Neural Computation - Contents - Volume 21, Number 2 - February 1, 2009

ARTICLE
A Spiking Neural Network Model of an Actor-critic Learning Agent
Wiebke Potjans, Abigail Morrison, and Markus Diesmann

NOTE
A Gradient Learning Rule for the Tempotron
Robert Urbanczik and Walter Senn

LETTERS
Simplicity and Efficiency of Integrate-and-Fire Neuron Models
Hans Plesser and Markus Diesmann

Spike Train Statistics and Dynamics with Synaptic Input from any
Renewal Process: A Population Density Approach
Cheng Ly and Dan Tranchina

Generating Spike Trains with Specified Correlation Coefficients
Jakob Macke, Philipp Berens, Alexander Ecker, Andreas Tolias and Matthias Bethge

A Reproducing Kernel Hilbert Space Framework for Spike Trains
Antonio Paiva, Il Park and Jose Principe

Identifying Functional Connectivity in Large Scale Neural Ensemble Recordings:
A Multiscale Data Mining Approach
Karim Oweiss, Seif Eldawlatly and Rong Jin

State Dependent Computation Using Coupled Recurrent Networks
Ueli Rutishauser and Rodney Douglas

The Problem of Rapid Variable Creation
Robert Hadley

Nonparametric Conditional Density Estimation Using Piecewise-Linear Solution
Path of Kernel Quantile Regression
Ichiro Takeuchi, Kaname Nomura, and Takafumi Kanamori

Arbitrary Norm Support Vector Machines
Kaizu Huang, Danian Zheng, Irwin King, and Michael Lyu

Sequential Triangle Strip Generator Based on Hopfield Networks
Jiri Simaand Radim Lnenicka

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ON-LINE - http://neco.mitpress.org/

SUBSCRIPTIONS - 2009 - VOLUME 21 - 12 ISSUES

               USA/Canada      Others    Electronic only
Student/Retired   $60           $123         $54
Individual       $110           $173         $99
Institution      $849           $912        $756

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