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Volume 31, Issue 1

January 2019

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ISSN 0899-7667

EISSN 1530-888X

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Ten Simple Rules for Organizing and Running a Successful Intensive Two-Week Course

Gunnar Blohm, Paul Schrater, Konrad Körding

Neural Computation (2019) 31 (1): 1–7.

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Letters

First Passage Time Memory Lifetimes for Simple, Multistate Synapses: Beyond the Eigenvector Requirement

Terry Elliott

Neural Computation (2019) 31 (1): 8–67.

Abstract

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Decoding of Neural Data Using Cohomological Feature Extraction

Erik Rybakken, Nils Baas, Benjamin Dunn

Neural Computation (2019) 31 (1): 68–93.

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Supplementary data

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Fixed Points of Competitive Threshold-Linear Networks

Carina Curto, Jesse Geneson, Katherine Morrison

Neural Computation (2019) 31 (1): 94–155.

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Supervised Dimensionality Reduction on Grassmannian for Image Set Recognition

Tianci Liu, Zelin Shi, Yunpeng Liu

Neural Computation (2019) 31 (1): 156–175.

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The Exact VC Dimension of the WiSARD $n$ -Tuple Classifier

Hugo C. C. Carneiro, Carlos E. Pedreira, Felipe M. G. França, Priscila M. V. Lima

Neural Computation (2019) 31 (1): 176–207.

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Dual Neural Network Method for Solving Multiple Definite Integrals

Haibin Li, Yangtian Li, Shangjie Li

Neural Computation (2019) 31 (1): 208–232.

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Ten Simple Rules for Organizing and Running a Successful Intensive Two-Week Course

Letters

First Passage Time Memory Lifetimes for Simple, Multistate Synapses: Beyond the Eigenvector Requirement

Decoding of Neural Data Using Cohomological Feature Extraction

Fixed Points of Competitive Threshold-Linear Networks

Supervised Dimensionality Reduction on Grassmannian for Image Set Recognition

The Exact VC Dimension of the WiSARD $n$ -Tuple Classifier

Dual Neural Network Method for Solving Multiple Definite Integrals

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Ten Simple Rules for Organizing and Running a Successful Intensive Two-Week Course

Letters

First Passage Time Memory Lifetimes for Simple, Multistate Synapses: Beyond the Eigenvector Requirement

Decoding of Neural Data Using Cohomological Feature Extraction

Fixed Points of Competitive Threshold-Linear Networks

Supervised Dimensionality Reduction on Grassmannian for Image Set Recognition

The Exact VC Dimension of the WiSARD n-Tuple Classifier

Dual Neural Network Method for Solving Multiple Definite Integrals

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Email alerts

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A product of The MIT Press

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The Exact VC Dimension of the WiSARD $n$ -Tuple Classifier