Neural Computation

Volume 20 : Issue 11

Table of Contents

• Latent Features in Similarity Judgments: A Nonparametric Bayesian Approach 
  Daniel J. Navarro and Thomas L. Griffiths
  Page 2597
• Deep, Narrow Sigmoid Belief Networks Are Universal Approximators 
  Ilya Sutskever and Geoffrey E. Hinton
  Page 2629
• Exact Solutions for Rate and Synchrony in Recurrent Networks of Coincidence Detectors 
  Shawn Mikula and Ernst Niebur
  Page 2637
• Mutual Information Expansion for Studying the Role of Correlations in Population Codes: How Important Are Autocorrelations 
  A. Scaglione, G. Foffani, G. Scannella, S. Cerutti and K. A. Moxon
  Page 2662
• Parameters of the Diffusion Leaky Integrate-and-Fire Neuronal Model for a Slowly Fluctuating Signal 
  Umberto Picchini, Susanne Ditlevsen, Andrea De Gaetano and Petr Lansky
  Page 2696
• Faithful Representation of Stimuli with a Population of Integrate-and-Fire Neurons 
  Aurel A. Lazar and Eftychios A. Pnevmatikakis
  Page 2715
• Just-in-Time Connectivity for Large Spiking Networks 
  William W. Lytton, Ahmet Omurtag, Samuel A. Neymotin and Michael L. Hines
  Page 2745
• Simultaneous Approximations of Polynomials and Derivatives and Their Applications to Neural Networks 
  Yoshifusa Ito
  Page 2757
• Boosting Method for Local Learning in Statistical Pattern Recognition 
  Masanori Kawakita and Shinto Eguchi
  Page 2792
• A Scalable Kernel-Based Semisupervised Metric Learning Algorithm with Out-of-Sample Generalization Ability 
  Dit-Yan Yeung, Hong Chang and Guang Dai
  Page 2839