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Volume 32, Issue 2

February 2020

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ISSN 0899-7667

EISSN 1530-888X

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Article
Letters

Article

Face Representations via Tensorfaces of Various Complexities

Sidney R. Lehky, Anh Huy Phan, Andrzej Cichocki, Keiji Tanaka

Neural Computation (2020) 32 (2): 281–329.

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Letters

Transition Scale-Spaces: A Computational Theory for the Discretized Entorhinal Cortex

Nicolai Waniek

Neural Computation (2020) 32 (2): 330–394.

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From Synaptic Interactions to Collective Dynamics in Random Neuronal Networks Models: Critical Role of Eigenvectors and Transient Behavior

E. Gudowska-Nowak, M. A. Nowak, D. R. Chialvo, J. K. Ochab, W. Tarnowski

Neural Computation (2020) 32 (2): 395–423.

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Synaptic Scaling Improves the Stability of Neural Mass Models Capable of Simulating Brain Plasticity

Jure Demšar, Rob Forsyth

Neural Computation (2020) 32 (2): 424–446.

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Scaled Coupled Norms and Coupled Higher-Order Tensor Completion

Kishan Wimalawarne, Makoto Yamada, Hiroshi Mamitsuka

Neural Computation (2020) 32 (2): 447–484.

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Improving Generalization via Attribute Selection on Out-of-the-Box Data

Xiaofeng Xu, Ivor W. Tsang, Chuancai Liu

Neural Computation (2020) 32 (2): 485–514.

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Article

Face Representations via Tensorfaces of Various Complexities

Letters

Transition Scale-Spaces: A Computational Theory for the Discretized Entorhinal Cortex

From Synaptic Interactions to Collective Dynamics in Random Neuronal Networks Models: Critical Role of Eigenvectors and Transient Behavior

Synaptic Scaling Improves the Stability of Neural Mass Models Capable of Simulating Brain Plasticity

Scaled Coupled Norms and Coupled Higher-Order Tensor Completion

Improving Generalization via Attribute Selection on Out-of-the-Box Data

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Issues

Cover Image

Article

Face Representations via Tensorfaces of Various Complexities

Letters

Transition Scale-Spaces: A Computational Theory for the Discretized Entorhinal Cortex

From Synaptic Interactions to Collective Dynamics in Random Neuronal Networks Models: Critical Role of Eigenvectors and Transient Behavior

Synaptic Scaling Improves the Stability of Neural Mass Models Capable of Simulating Brain Plasticity

Scaled Coupled Norms and Coupled Higher-Order Tensor Completion

Improving Generalization via Attribute Selection on Out-of-the-Box Data

Product(s) added to cart

Email alerts

RSS Feeds

A product of The MIT Press

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