Connectionists: NEURAL COMPUTATION - April 1, 2017

[Terry Sejnowski]

Neural Computation - Volume 29, Number 4 - April 1, 2017

Available online for download now:
http://www.mitpressjournals.org/toc/neco/29/4

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Article

**Free**
Unifying Adversarial Training Algorithms With Flexible 
Deep Data Gradient Regularization
Alexander G Ororbia II, Daniel Kifer, and C. Lee Giles

Letters

Information Maximization Explains the Sparseness of 
Presynaptic Neural Response
Minjoon Kouh

On the Dynamical Interplay of Positive and Negative Affects
Jonathan Touboul, Alberto Romagnoni, and Robert M Schwartz

Evolving Network Model That Almost Regenerates Epileptic Data
G Manjunath

Multiway Array Decomposition of EEG Spectrum: Implications of 
Its Stability for the Exploration of Large-scale Brain Networks
Radek Marecek, Martin Lamos, Rene Labounek, Marek Barton, 
Tomas Slavicek, Michal Mikl, Ivan Rektor, Milan Brazdil

Maximum Pseudolikelihood Estimation for Model-Based Clustering 
of Time Series Data
Hien D Nguyen, Geoffrey J. McLachlan, Pierre Orban, 
Pierre Bellec, and Andrew L Janke

Anin Silico, Biomarker-based Method for the Evaluation of 
Virtual Neuropsychiatric Drug Effects
Peter Siekmeier

Semi-Supervised Multi-Label Multi-Instance Learning for Structured Data
Hossein Soleimani, David J Miller

Parameter Estimation of Nonlinear Systems by Dynamic Cuckoo Search
Shudao Zhou, Qixiang Liao, Hanqing Shi, and Weilai Shi

Avoiding Optimal Mean L21-norm Maximization Based Robust PCA 
for Reconstruction
Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, 
Alexander G. Hauptmann, and Qinghua Zheng

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