Neural Computation

Volume 24 : Issue 6

Table of Contents

• A Proof of Convergence of the Concave-Convex Procedure Using Zangwill's Theory 
  Bharath K. Sriperumbudur and Gert R. G. Lanckriet
  Page 1391
• On the Relation Between Encoding and Decoding of Neuronal Spikes 
  Shinsuke Koyama
  Page 1408
• Analytical Integrate-and-Fire Neuron Models with Conductance-Based Dynamics and Realistic Postsynaptic Potential Time Course for Event-Driven Simulation Strategies 
  Michelle Rudolph-Lilith, Mathieu Dubois and Alain Destexhe
  Page 1426
• Markov Chain Monte Carlo Methods for State-Space Models with Point Process Observations 
  Ke Yuan, Mark Girolami and Mahesan Niranjan
  Page 1462
• Adaptive Optimal Control Without Weight Transport 
  Lakshminarayan V. Chinta and Douglas B. Tweed
  Page 1487
• The Neural Representation of Time: An Information-Theoretic Perspective 
  Joachim Hass and J. Michael Herrmann
  Page 1519
• The Successor Representation and Temporal Context 
  Samuel J. Gershman, Christopher D. Moore, Michael T. Todd, Kenneth A. Norman and Per B. Sederberg
  Page 1553
• Learning Coefficient of Generalization Error in Bayesian Estimation and Vandermonde Matrix-Type Singularity 
  Miki Aoyagi and Kenji Nagata
  Page 1569