Neural Computation

Volume 23 : Issue 1

Table of Contents

• Model-Based Decoding, Information Estimation, and Change-Point Detection Techniques for Multineuron Spike Trains 
  Jonathan W. Pillow, Yashar Ahmadian and Liam Paninski
  Page 1
• Efficient Markov Chain Monte Carlo Methods for Decoding Neural Spike Trains 
  Yashar Ahmadian, Jonathan W. Pillow and Liam Paninski
  Page 46
• Modeling Multivariate Time Series on Manifolds with Skew Radial Basis Functions 
  Arta A. Jamshidi and Michael J. Kirby
  Page 97
• The Mean Time to Express Synaptic Plasticity in Integrate-and-Express, Stochastic Models of Synaptic Plasticity Induction 
  Terry Elliott
  Page 124
• 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. Schlkopf
  Page 160
• A Framework for Simulating and Estimating the State and Functional Topology of Complex Dynamic Geometric Networks 
  Marius Buibas and Gabriel A. Silva
  Page 183
• A Multiscale Correlation of Wavelet Coefficients Approach to Spike Detection 
  Chenhui Yang, Byron Olson and Jennie Si
  Page 215
• Broken Symmetries in a Location-Invariant Word Recognition Network 
  Thomas Hannagan, Frdric Dandurand and Jonathan Grainger
  Page 251
• Least-Squares Independent Component Analysis 
  Taiji Suzuki and Masashi Sugiyama
  Page 284