Neural Computation

Volume 22 : Issue 5

Table of Contents

• Optimal Decision Making on the Basis of Evidence Represented in Spike Trains 
  Jiaxiang Zhang and Rafal Bogacz
  Page 1113
• Posterior Weighted Reinforcement Learning with State Uncertainty 
  Tobias Larsen, David S. Leslie, Edmund J. Collins and Rafal Bogacz
  Page 1149
• A Non-Markovian Random Walk Underlies a Stochastic Model of Spike-Timing-Dependent Plasticity 
  Terry Elliott
  Page 1180
• Nonconvergence in Logistic and Poisson Models for Neural Spiking 
  Mengyuan Zhao and Satish Iyengar
  Page 1231
• Decoding Poisson Spike Trains by Gaussian Filtering 
  Sidney R. Lehky
  Page 1245
• Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons 
  Lars Bsing, Benjamin Schrauwen and Robert Legenstein
  Page 1272
• Representation Sharpening Can Explain Perceptual Priming 
  Samat Moldakarimov, Maxim Bazhenov and Terrence J. Sejnowski
  Page 1312
• A Gaussian Attractor Network for Memory and Recognition with Experience-Dependent Learning 
  Xiaolin Hu and Bo Zhang
  Page 1333
• Alteration of Ambient GABA by Phasic and Tonic Neuronal Activation 
  Osamu Hoshino
  Page 1358
• Roles of Inhibitory Neurons in Rewiring-Induced Synchronization in Pulse-Coupled Neural Networks 
  Takashi Kanamaru and Kazuyuki Aihara
  Page 1383