Connectionists: NEURAL NETWORKS, June 2019

[DeLiang Wang]

Neural Networks - Volume 114, June 2019
http://www.journals.elsevier.com/neural-networks


Joint sparse graph and flexible embedding for graph-based 
semi-supervised learning
F. Dornaika, Y. El Traboulsi

Early Alzheimer’s disease diagnosis based on EEG spectral images using 
deep learning
Xiaojun Bi, Haibo Wang

Integrated information in the thermodynamic limit
Miguel Aguilera, Ezequiel A. Di Paolo

Contrastive Hebbian learning with random feedback weights
Georgios Detorakis, Travis Bartley, Emre Neftci

Attention Inspired Network: Steep learning curve in an invariant pattern 
recognition model
Luis Sa-Couto, Andreas Wichert

Robust capped L1-norm twin support vector machine
Chunyan Wang, Qiaolin Ye, Peng Luo, Ning Ye, Liyong Fu

Discriminative multi-source adaptation multi-feature co-regression for 
visual classification
Jianwen Tao, Wei Dai

Weighted contrastive divergence
Enrique Romero, Ferran Mazzanti, Jordi Delgado, David Buchaca

A collaborative neurodynamic approach to global and combinatorial 
optimization
Hangjun Che, Jun Wang

Improved result on state estimation for complex dynamical networks with 
time varying delays and stochastic sampling via sampled-data control
M. Syed Ali, M. Usha, Zeynep Orman, Sabri Arik

New stability results for Takagi–Sugeno fuzzy Cohen–Grossberg neural 
networks with multiple delays
Selcuk Sevgen

Exponential synchronization of time-varying delayed complex-valued 
neural networks under hybrid impulsive controllers
Yu Kan, Jianquan Lu, Jianlong Qiu, Juergen Kurths

Learning joint space–time–frequency features for EEG decoding on small 
labeled data
Dongye Zhao, Fengzhen Tang, Bailu Si, Xisheng Feng

Optimization of sampling intervals for tracking control of nonlinear 
systems: A game theoretic approach
Avimanyu Sahoo, Vignesh Narayanan