Neural Computation

Volume 21 : Issue 5

Table of Contents

• Mean-Field Approximations for Coupled Populations of Generalized Linear Model Spiking Neurons with Markov Refractoriness 
  Taro Toyoizumi, Kamiar Rahnama Rad and Liam Paninski
  Page 1203
• A Rate and History-Preserving Resampling Algorithm for Neural Spike Trains 
  Matthew T. Harrison and Stuart Geman
  Page 1244
• Competitive STDP-Based Spike Pattern Learning 
  Timothe Masquelier, Rudy Guyonneau and Simon J. Thorpe
  Page 1259
• Bayesian Filtering in Spiking Neural Networks: Noise, Adaptation, and Multisensory Integration 
  Omer Bobrowski, Ron Meir and Yonina C. Eldar
  Page 1277
• Increasing Memory Capacity and Reducing Spurious States in Neural Networks by Introducing Coherent and Collective Firing 
  Yang Wei Koh and Kazuo Takatsuka
  Page 1321
• A Computational Model for Rhythmic and Discrete Movements in Uni- and Bimanual Coordination 
  Renaud Ronsse, Dagmar Sternad and Philippe Lefvre
  Page 1335
• Redundancy, Self-Motion, and Motor Control 
  V. Martin, J. P. Scholz and G. Schner
  Page 1371
• A Geometric Newton Method for Oja's Vector Field 
  P.-A. Absil, M. Ishteva, L. De Lathauwer and S. Van Huffel
  Page 1415
• Analysis of Complete Stability for Discrete-Time Cellular Neural Networks with Piecewise Linear Output Functions 
  Xuemei Li
  Page 1434
• Theory and Algorithm for Learning with Dissimilarity Functions 
  Liwei Wang, Masashi Sugiyama, Cheng Yang, Kohei Hatano and Jufu Feng
  Page 1459