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Issues

Volume 24, Issue 6
June 2012
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Note

A Proof of Convergence of the Concave-Convex Procedure Using Zangwill's Theory
Bharath K. Sriperumbudur, Gert R. G. Lanckriet
Neural Computation (2012) 24 (6): 1391–1407.
View articletitled, A Proof of Convergence of the Concave-Convex Procedure Using Zangwill's Theory
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Letters

On the Relation Between Encoding and Decoding of Neuronal Spikes
Shinsuke Koyama
Neural Computation (2012) 24 (6): 1408–1425.
View articletitled, On the Relation Between Encoding and Decoding of Neuronal Spikes
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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, Alain Destexhe
Neural Computation (2012) 24 (6): 1426–1461.
View articletitled, Analytical Integrate-and-Fire Neuron Models with Conductance-Based Dynamics and Realistic Postsynaptic Potential Time Course for Event-Driven Simulation Strategies
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Markov Chain Monte Carlo Methods for State-Space Models with Point Process Observations
Ke Yuan, Mark Girolami, Mahesan Niranjan
Neural Computation (2012) 24 (6): 1462–1486.
View articletitled, Markov Chain Monte Carlo Methods for State-Space Models with Point Process Observations
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Adaptive Optimal Control Without Weight Transport
Lakshminarayan V. Chinta, Douglas B. Tweed
Neural Computation (2012) 24 (6): 1487–1518.
View articletitled, Adaptive Optimal Control Without Weight Transport
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The Neural Representation of Time: An Information-Theoretic Perspective
Joachim Hass, J. Michael Herrmann
Neural Computation (2012) 24 (6): 1519–1552.
View articletitled, The Neural Representation of Time: An Information-Theoretic Perspective
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The Successor Representation and Temporal Context
Samuel J. Gershman, Christopher D. Moore, Michael T. Todd, Kenneth A. Norman, Per B. Sederberg
Neural Computation (2012) 24 (6): 1553–1568.
View articletitled, The Successor Representation and Temporal Context
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Learning Coefficient of Generalization Error in Bayesian Estimation and Vandermonde Matrix-Type Singularity
Miki Aoyagi, Kenji Nagata
Neural Computation (2012) 24 (6): 1569–1610.
View articletitled, Learning Coefficient of Generalization Error in Bayesian Estimation and Vandermonde Matrix-Type Singularity
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