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Issues

Volume 32, Issue 11
November 2020
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Article

A Cerebellar Computational Mechanism for Delay Conditioning at Precise Time Intervals
Terence D. Sanger, Mitsuo Kawato
Neural Computation (2020) 32 (11): 2069–2084.
View articletitled, A Cerebellar Computational Mechanism for Delay Conditioning at Precise Time Intervals
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Letters

Reverse-Engineering Neural Networks to Characterize Their Cost Functions
Takuya Isomura, Karl Friston
Neural Computation (2020) 32 (11): 2085–2121.
View articletitled, Reverse-Engineering Neural Networks to Characterize Their Cost Functions
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Closed-Loop Deep Learning: Generating Forward Models With Backpropagation
Sama Daryanavard, Bernd Porr
Neural Computation (2020) 32 (11): 2122–2144.
View articletitled, Closed-Loop Deep Learning: Generating Forward Models With Backpropagation
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Assessing Goodness-of-Fit in Marked Point Process Models of Neural Population Coding via Time and Rate Rescaling
Ali Yousefi, Yalda Amidi, Behzad Nazari, Uri. T. Eden
Neural Computation (2020) 32 (11): 2145–2186.
View articletitled, Assessing Goodness-of-Fit in Marked Point Process Models of Neural Population Coding via Time and Rate Rescaling
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Inferring Neuronal Couplings From Spiking Data Using a Systematic Procedure With a Statistical Criterion
Yu Terada, Tomoyuki Obuchi, Takuya Isomura, Yoshiyuki Kabashima
Neural Computation (2020) 32 (11): 2187–2211.
View articletitled, Inferring Neuronal Couplings From Spiking Data Using a Systematic Procedure With a Statistical Criterion
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Repetitive Control for Multi-Joint Arm Movements Based on Virtual Trajectories
Yoji Uno, Takehiro Suzuki, Takahiro Kagawa
Neural Computation (2020) 32 (11): 2212–2236.
View articletitled, Repetitive Control for Multi-Joint Arm Movements Based on Virtual Trajectories
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Bicomplex Projection Rule for Complex-Valued Hopfield Neural Networks
Masaki Kobayashi
Neural Computation (2020) 32 (11): 2237–2248.
View articletitled, Bicomplex Projection Rule for Complex-Valued Hopfield Neural Networks
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ReLU Networks Are Universal Approximators via Piecewise Linear or Constant Functions
Changcun Huang
Neural Computation (2020) 32 (11): 2249–2278.
View articletitled, ReLU Networks Are Universal Approximators via Piecewise Linear or Constant Functions
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Effect of Top-Down Connections in Hierarchical Sparse Coding
Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent Perrinet
Neural Computation (2020) 32 (11): 2279–2309.
View articletitled, Effect of Top-Down Connections in Hierarchical Sparse Coding
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