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Issues

Volume 31, Issue 12
December 2019
Neural Computation Cover Image for Volume 31, Issue 12
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Article

Every Local Minimum Value Is the Global Minimum Value of Induced Model in Nonconvex Machine Learning
Kenji Kawaguchi, Jiaoyang Huang, Leslie Pack Kaelbling
Neural Computation (2019) 31 (12): 2293–2323.
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Letters

Can Grid Cell Ensembles Represent Multiple Spaces?
Davide Spalla, Alexis Dubreuil, Sophie Rosay, Remi Monasson, Alessandro Treves
Neural Computation (2019) 31 (12): 2324–2347.
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Replicating Neuroscience Observations on ML/MF and AM Face Patches by Deep Generative Model
Tian Han, Xianglei Xing, Jiawen Wu, Ying Nian Wu
Neural Computation (2019) 31 (12): 2348–2367.
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Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses
Mengwen Yuan, Xi Wu, Rui Yan, Huajin Tang
Neural Computation (2019) 31 (12): 2368–2389.
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Bayesian Filtering with Multiple Internal Models: Toward a Theory of Social Intelligence
Takuya Isomura, Thomas Parr, Karl Friston
Neural Computation (2019) 31 (12): 2390–2431.
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Safe Triplet Screening for Distance Metric Learning
Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama
Neural Computation (2019) 31 (12): 2432–2491.
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The Effect of Signaling Latencies and Node Refractory States on the Dynamics of Networks
Gabriel A. Silva
Neural Computation (2019) 31 (12): 2492–2522.
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Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal Circuits
Lili Su, Chia-Jung Chang, Nancy Lynch
Neural Computation (2019) 31 (12): 2523–2561.
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On the Effect of the Activation Function on the Distribution of Hidden Nodes in a Deep Network
Philip M. Long, Hanie Sedghi
Neural Computation (2019) 31 (12): 2562–2580.
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