Neural Computation

Volume 13 : Issue 11

Table of Contents

• Predictability, Complexity, and Learning 
  William Bialek, William Bialek, William Bialek, Ilya Nemenman, Ilya Nemenman, Ilya Nemenman, Naftali Tishby, Naftali Tishby and Naftali Tishby
  Page 2409
• Dendritic Subunits Determined by Dendritic Morphology 
  K. A. Lindsay, K. A. Lindsay, K. A. Lindsay, J. M. Ogden, J. M. Ogden, J. M. Ogden, J. R. Rosenberg, J. R. Rosenberg and J. R. Rosenberg
  Page 2465
• Computing the Optimally Fitted Spike Train for a Synapse 
  Thomas Natschlger, Thomas Natschlger, Thomas Natschlger, Wolfgang Maass, Wolfgang Maass and Wolfgang Maass
  Page 2477
• Period Focusing Induced by Network Feedback in Populations of Noisy Integrate-and-Fire Neurons 
  Francisco B. Rodrguez, Francisco B. Rodrguez, Francisco B. Rodrguez, Alberto Surez, Alberto Surez, Alberto Surez, Vicente Lpez, Vicente Lpez and Vicente Lpez
  Page 2495
• A Variational Method for Learning Sparse and Overcomplete Representations 
  Mark Girolami, Mark Girolami and Mark Girolami
  Page 2517
• Random Embedding Machines for Pattern Recognition 
  Yoram Baram, Yoram Baram and Yoram Baram
  Page 2533
• Manifold Stochastic Dynamics for Bayesian Learning 
  Mark Zlochin, Mark Zlochin, Mark Zlochin, Yoram Baram, Yoram Baram and Yoram Baram
  Page 2549
• Resampling Method for Unsupervised Estimation of Cluster Validity 
  Erel Levine, Erel Levine, Erel Levine, Eytan Domany, Eytan Domany and Eytan Domany
  Page 2573
• The Whitney Reduction Network: A Method for Computing Autoassociative Graphs 
  D. S. Broomhead, D. S. Broomhead, D. S. Broomhead, M. J. Kirby, M. J. Kirby and M. J. Kirby
  Page 2595
• Enhanced 3D Shape Recovery Using the Neural-Based Hybrid Reflectance Model 
  Siu-Yeung Cho, Siu-Yeung Cho, Siu-Yeung Cho, Tommy W. S. Chow, Tommy W. S. Chow and Tommy W. S. Chow
  Page 2617