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Volume 31, Issue 8

August 2019

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Cover Image

Cover Image

ISSN 0899-7667

EISSN 1530-888X

In this Issue

Article
Letters

Article

On the Organization of Grid and Place Cells: Neural Denoising via Subspace Learning

David M. Schwartz, O. Ozan Koyluoglu

Neural Computation (2019) 31 (8): 1519–1550.

Abstract

View articletitled, On the Organization of Grid and Place Cells: Neural Denoising via Subspace Learning

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Letters

Approximating the Architecture of Visual Cortex in a Convolutional Network

Bryan Tripp

Neural Computation (2019) 31 (8): 1551–1591.

Abstract

View articletitled, Approximating the Architecture of Visual Cortex in a Convolutional Network

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On the Complexity of Logistic Regression Models

Nicola Bulso, Matteo Marsili, Yasser Roudi

Neural Computation (2019) 31 (8): 1592–1623.

Abstract

View articletitled, On the Complexity of Logistic Regression Models

Supplementary data

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When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time

David Miller, Yujia Wang, George Kesidis

Neural Computation (2019) 31 (8): 1624–1670.

Abstract

View articletitled, When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time

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Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins

Jérôme Tubiana, Simona Cocco, Rémi Monasson

Neural Computation (2019) 31 (8): 1671–1717.

Abstract

View articletitled, Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins

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Variable Selection for Nonparametric Learning with Power Series Kernels

Kota Matsui, Wataru Kumagai, Kenta Kanamori, Mitsuaki Nishikimi, Takafumi Kanamori

Neural Computation (2019) 31 (8): 1718–1750.

Abstract

View articletitled, Variable Selection for Nonparametric Learning with Power Series Kernels

Article

On the Organization of Grid and Place Cells: Neural Denoising via Subspace Learning

Letters

Approximating the Architecture of Visual Cortex in a Convolutional Network

On the Complexity of Logistic Regression Models

When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time

Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins

Variable Selection for Nonparametric Learning with Power Series Kernels

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Issues

Cover Image

Article

On the Organization of Grid and Place Cells: Neural Denoising via Subspace Learning

Letters

Approximating the Architecture of Visual Cortex in a Convolutional Network

On the Complexity of Logistic Regression Models

When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time

Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins

Variable Selection for Nonparametric Learning with Power Series Kernels

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