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Volume 31, Issue 3
March 2019
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Article

Gradient Descent with Identity Initialization Efficiently Learns Positive-Definite Linear Transformations by Deep Residual Networks
Peter L. Bartlett, David P. Helmbold, Philip M. Long
Neural Computation (2019) 31 (3): 477–502.
View articletitled, Gradient Descent with Identity Initialization Efficiently Learns Positive-Definite Linear Transformations by Deep Residual Networks
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Letters

Forgetting Memories and Their Attractiveness
Enzo Marinari
Neural Computation (2019) 31 (3): 503–516.
View articletitled, Forgetting Memories and Their Attractiveness
Supplementary data
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Scalable and Flexible Unsupervised Feature Selection
Haojie Hu, Rong Wang, Xiaojun Yang, Feiping Nie
Neural Computation (2019) 31 (3): 517–537.
View articletitled, Scalable and Flexible Unsupervised Feature Selection
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State-Space Representations of Deep Neural Networks
Michael Hauser, Sean Gunn, Samer Saab, Jr., Asok Ray
Neural Computation (2019) 31 (3): 538–554.
View articletitled, State-Space Representations of Deep Neural Networks
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Advancing System Performance with Redundancy: From Biological to Artificial Designs
Anh Tuan Nguyen, Jian Xu, Diu Khue Luu, Qi Zhao, Zhi Yang
Neural Computation (2019) 31 (3): 555–573.
View articletitled, Advancing System Performance with Redundancy: From Biological to Artificial Designs
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A Novel Optimization Framework to Improve the Computational Cost of Muscle Activation Prediction for a Neuromusculoskeletal System
Seyed Mohammad Ali Rahmati, Mostafa Rostami, Alireza Karimi
Neural Computation (2019) 31 (3): 574–595.
View articletitled, A Novel Optimization Framework to Improve the Computational Cost of Muscle Activation Prediction for a Neuromusculoskeletal System
Supplementary data
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The Information Bottleneck and Geometric Clustering
DJ Strouse, David J. Schwab
Neural Computation (2019) 31 (3): 596–612.
View articletitled, The Information Bottleneck and Geometric Clustering
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