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Volume 31, Issue 4

April 2019

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ISSN 0899-7667

EISSN 1530-888X

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Article

A Distributed Framework for the Construction of Transport Maps

Diego A. Mesa, Justin Tantiongloc, Marcela Mendoza, Sanggyun Kim, Todd P. Coleman

Neural Computation (2019) 31 (4): 613–652.

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Letters

Biologically Realistic Mean-Field Models of Conductance-Based Networks of Spiking Neurons with Adaptation

Matteo di Volo, Alberto Romagnoni, Cristiano Capone, Alain Destexhe

Neural Computation (2019) 31 (4): 653–680.

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Estimating Scale-Invariant Future in Continuous Time

Zoran Tiganj, Samuel J. Gershman, Per B. Sederberg, Marc W. Howard

Neural Computation (2019) 31 (4): 681–709.

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Deconstructing Odorant Identity via Primacy in Dual Networks

Daniel R. Kepple, Hamza Giaffar, Dmitry Rinberg, Alexei A. Koulakov

Neural Computation (2019) 31 (4): 710–737.

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Supplementary data

Filtering Compensation for Delays and Prediction Errors during Sensorimotor Control

F. Crevecoeur, M. Gevers

Neural Computation (2019) 31 (4): 738–764.

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Gated Orthogonal Recurrent Units: On Learning to Forget

Li Jing, Caglar Gulcehre, John Peurifoy, Yichen Shen, Max Tegmark ...

Neural Computation (2019) 31 (4): 765–783.

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Decreasing the Size of the Restricted Boltzmann Machine

Yohei Saito, Takuya Kato

Neural Computation (2019) 31 (4): 784–805.

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Multiclass Alpha Integration of Scores from Multiple Classifiers

Gonzalo Safont, Addisson Salazar, Luis Vergara

Neural Computation (2019) 31 (4): 806–825.

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Article

A Distributed Framework for the Construction of Transport Maps

Letters

Biologically Realistic Mean-Field Models of Conductance-Based Networks of Spiking Neurons with Adaptation

Estimating Scale-Invariant Future in Continuous Time

Deconstructing Odorant Identity via Primacy in Dual Networks

Filtering Compensation for Delays and Prediction Errors during Sensorimotor Control

Gated Orthogonal Recurrent Units: On Learning to Forget

Decreasing the Size of the Restricted Boltzmann Machine

Multiclass Alpha Integration of Scores from Multiple Classifiers

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