Connectionists: NEURAL COMPUTATION - January, 2011

[Terry Sejnowski]

Neural Computation - Contents - Volume 23, Number 1 - January 1, 2011

ARTICLES

Model-Based Decoding, Information Estimation, and Change-Point Detection
Techniques for Multi-Neuron Spike Trains
Jonathan W. Pillow, Yashar Ahmadian, and Liam Paninski

Efficient Markov Chain Monte Carlo Methods for Decoding Neural Spike Trains
Yashar Ahmadian, Jonathan W. Pillow, and Liam Paninski

LETTERS

Modeling Multivariate Time Series on Manifolds with Skew Radial Basis Functions
Arta A. Jamshidi and Michael J. Kirby

The Mean Time to Express Synaptic Plasticity in Integrate-and-Express, Stochastic
Models of Synaptic Plasticity Induction

A Graphical Model Framework for Decoding in the Visual ERP-Based BCI Speller
S.M.M Martens, J.M. Mooij, N. J. Hill, J. Farquhar, and B. Schoelkopf

A Framework for Simulating and Estimating the State and Functional Topology of
Complex Dynamic Geometric Networks
Marius Buibas and Gabriel Silva

A Multiscale Correlation of Wavelet Coefficients Approach to Spike Detection
Chenhui Yang, Byron Olson, and Jennie Si

Broken Symmetries in a Location-Invariant Word Recognition Network
Thomas Hannagan, Frederic Dandurand, and Jonathan Grainger

Least-Squares Independent Component Analysis
Taiji Suzuki and Masashi Sugiyama

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