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Volume 31, Issue 11

November 2019

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ISSN 0899-7667

EISSN 1530-888X

In this Issue

Article
Letters

Article

A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and Recognition

Ahmadreza Ahmadi, Jun Tani

Neural Computation (2019) 31 (11): 2025–2074.

Abstract

View articletitled, A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and Recognition

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Letters

On Functions Computed on Trees

Roozbeh Farhoodi, Khashayar Filom, Ilenna Simone Jones, Konrad Paul Kording

Neural Computation (2019) 31 (11): 2075–2137.

Abstract

View articletitled, On Functions Computed on Trees

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Integrating Flexible Normalization into Midlevel Representations of Deep Convolutional Neural Networks

Luis Gonzalo Sánchez Giraldo, Odelia Schwartz

Neural Computation (2019) 31 (11): 2138–2176.

Abstract

View articletitled, Integrating Flexible Normalization into Midlevel Representations of Deep Convolutional Neural Networks

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Capturing the Forest but Missing the Trees: Microstates Inadequate for Characterizing Shorter-Scale EEG Dynamics

Saurabh Bhaskar Shaw, Kiret Dhindsa, James P. Reilly, Suzanna Becker

Neural Computation (2019) 31 (11): 2177–2211.

Abstract

View articletitled, Capturing the Forest but Missing the Trees: Microstates Inadequate for Characterizing Shorter-Scale EEG Dynamics

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Dynamic Integrative Synaptic Plasticity Explains the Spacing Effect in the Transition from Short- to Long-Term Memory

Terry Elliott

Neural Computation (2019) 31 (11): 2212–2251.

Abstract

View articletitled, Dynamic Integrative Synaptic Plasticity Explains the Spacing Effect in the Transition from Short- to Long-Term Memory

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Mutual Inhibition with Few Inhibitory Cells via Nonlinear Inhibitory Synaptic Interaction

Felix Weissenberger, Marcelo Matheus Gauy, Xun Zou, Angelika Steger

Neural Computation (2019) 31 (11): 2252–2265.

Abstract

View articletitled, Mutual Inhibition with Few Inhibitory Cells via Nonlinear Inhibitory Synaptic Interaction

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Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning

Xin Yao, Tianchi Huang, Chenglei Wu, Rui-Xiao Zhang, Lifeng Sun

Neural Computation (2019) 31 (11): 2266–2291.

Abstract

View articletitled, Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning

Article

A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and Recognition

Letters

On Functions Computed on Trees

Integrating Flexible Normalization into Midlevel Representations of Deep Convolutional Neural Networks

Capturing the Forest but Missing the Trees: Microstates Inadequate for Characterizing Shorter-Scale EEG Dynamics

Dynamic Integrative Synaptic Plasticity Explains the Spacing Effect in the Transition from Short- to Long-Term Memory

Mutual Inhibition with Few Inhibitory Cells via Nonlinear Inhibitory Synaptic Interaction

Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning

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Issues

Cover Image

Article

A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and Recognition

Letters

On Functions Computed on Trees

Integrating Flexible Normalization into Midlevel Representations of Deep Convolutional Neural Networks

Capturing the Forest but Missing the Trees: Microstates Inadequate for Characterizing Shorter-Scale EEG Dynamics

Dynamic Integrative Synaptic Plasticity Explains the Spacing Effect in the Transition from Short- to Long-Term Memory

Mutual Inhibition with Few Inhibitory Cells via Nonlinear Inhibitory Synaptic Interaction

Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning

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