Neural Networks, Volume 108

Volume 108, December 2018

• 
  Jesus L. Lobo, Ibai Laña, Javier Del Ser, Miren Nekane Bilbao, Nikola K. Kasabov:
  Evolving Spiking Neural Networks for online learning over drifting data streams. 1-19

Learning Systems

• 
  Maciej Kusy:
  Fuzzy c-means-based architecture reduction of a probabilistic neural network. 20-32
• 
  Claudio Gallicchio, Alessio Micheli, Luca Pedrelli:
  Design of deep echo state networks. 33-47

Reviews

• 
  Andrea Soltoggio, Kenneth O. Stanley, Sebastian Risi:
  Born to learn: The inspiration, progress, and future of evolved plastic artificial neural networks. 48-67

Mathematical and Computational Analysis

• 
  Sho Sonoda, Keita Nakamura, Yuki Kaneda, Hideitsu Hino, Shotaro Akaho, Noboru Murata, Eri Miyauchi, Masahiro Kawasaki:
  EEG dipole source localization with information criteria for multiple particle filters. 68-82

Learning Systems

• 
  Jie Wen, Xiaozhao Fang, Yong Xu, Chunwei Tian, Lunke Fei:
  Low-rank representation with adaptive graph regularization. 83-96

Engineering and Applications

• 
  Andres Schmidt, Whitney Creason, Beverly E. Law:
  Estimating regional effects of climate change and altered land use on biosphere carbon fluxes using distributed time delay neural networks with Bayesian regularized learning. 97-113

Learning Systems

• 
  Tianqi Wei, Barbara Webb:
  A model of operant learning based on chaotically varying synaptic strength. 114-127
• 
  Zhao Zhang, Lei Jia, Mingbo Zhao, Qiaolin Ye, Min Zhang, Meng Wang:
  Adaptive non-negative projective semi-supervised learning for inductive classification. 128-145

Mathematical and Computational Analysis

• 
  Fang Liu, Qiang Song, Guanghui Wen, Jinde Cao, Xinsong Yang:
  Bipartite synchronization in coupled delayed neural networks under pinning control. 146-154

Learning Systems

• 
  Linlin Zong, Xianchao Zhang, Xinyue Liu:
  Multi-view clustering on unmapped data via constrained non-negative matrix factorization. 155-171

Neuroscience

• 
  Taishi Iwasaki, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata:
  Estimation of neural connections from partially observed neural spikes. 172-191

Mathematical and Computational Analysis

• 
  Yiyan Han, Chuandong Li, Zhigang Zeng, Hongfei Li:
  Exponential consensus of discrete-time non-linear multi-agent systems via relative state-dependent impulsive protocols. 192-201

Learning Systems

• 
  Na Han, Jigang Wu, Yingyi Liang, Xiaozhao Fang, Wai Keung Wong, Shaohua Teng:
  Low-rank and sparse embedding for dimensionality reduction. 202-216
• 
  Qingtian Zhang, Huaqiang Wu, Peng Yao, Wenqiang Zhang, Bin Gao, Ning Deng, He Qian:
  Sign backpropagation: An on-chip learning algorithm for analog RRAM neuromorphic computing systems. 217-223

Engineering and Applications

• 
  Lars Keuninckx, Jan Danckaert, Guy van der Sande:
  Monostable multivibrators as novel artificial neurons. 224-239

Learning Systems

• 
  Peng Zhou, Jiaming Xu, Zhenyu Qi, Hongyun Bao, Zhineng Chen, Bo Xu:
  Distant supervision for relation extraction with hierarchical selective attention. 240-247

Mathematical and Computational Analysis

• 
  Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner:
  The Vapnik-Chervonenkis dimension of graph and recursive neural networks. 248-259
• 
  Zhenyuan Guo, Shuqing Gong, Shaofu Yang, Tingwen Huang:
  Global exponential synchronization of multiple coupled inertial memristive neural networks with time-varying delay via nonlinear coupling. 260-271

Learning Systems

• 
  Weiying Xie, Yunsong Li, Jing Hu, Duan-Yu Chen:
  Trainable spectral difference learning with spatial starting for hyperspectral image denoising. 272-286
• 
  Fuzhen Zhuang, Jing Zheng, Jingwu Chen, Xiangliang Zhang, Chuan Shi, Qing He:
  Transfer collaborative filtering from multiple sources via consensus regularization. 287-295

Mathematical and Computational Analysis

• 
  Philipp Petersen, Felix Voigtländer:
  Optimal approximation of piecewise smooth functions using deep ReLU neural networks. 296-330

Learning Systems

• 
  Francesco Beritelli, Giacomo Capizzi, Grazia Lo Sciuto, Christian Napoli, Marcin Wozniak:
  A novel training method to preserve generalization of RBPNN classifiers applied to ECG signals diagnosis. 331-338
• 
  Nivethitha Somu, M. R. Gauthama Raman, V. Kalpana, Kirthivasan Kannan, V. S. Shankar Sriram:
  An improved robust heteroscedastic probabilistic neural network based trust prediction approach for cloud service selection. 339-354

Mathematical and Computational Analysis

• 
  Jiahui Li, Hongli Dong, Zidong Wang, Weidong Zhang:
  Protocol-based state estimation for delayed Markovian jumping neural networks. 355-364

Learning Systems

• 
  Zhengzhong Liang, David M. Schwartz, Gregory Ditzler, Onur Ozan Koyluoglu:
  The impact of encoding-decoding schemes and weight normalization in spiking neural networks. 365-378
• 
  Timothée Lesort, Natalia Díaz Rodríguez, Jean-François Goudou, David Filliat:
  State representation learning for control: An overview. 379-392

Mathematical and Computational Analysis

• 
  Yang Liu, Zidong Wang, Donghua Zhou:
  UKF-based remote state estimation for discrete artificial neural networks with communication bandwidth constraints. 393-398

Learning Systems

• 
  Lin Ning, Randall Pittman, Xipeng Shen:
  LCD: A Fast Contrastive Divergence Based Algorithm for Restricted Boltzmann Machine. 399-410
• 
  Guoqiang Wu, Yingjie Tian, Dalian Liu:
  Cost-sensitive multi-label learning with positive and negative label pairwise correlations. 411-423

Neuroscience

• 
  Omid Rezai, Pinar Boyraz Jentsch, Bryan P. Tripp:
  A video-driven model of response statistics in the primate middle temporal area. 424-444

Mathematical and Computational Analysis

• 
  Zeynep Orman:
  An improved stability result for delayed Takagi-Sugeno fuzzy Cohen-Grossberg neural networks. 445-451
• 
  Pingping Liu, Xiaobing Nie, Jinling Liang, Jinde Cao:
  Multiple Mittag-Leffler stability of fractional-order competitive neural networks with Gaussian activation functions. 452-465

Cognitive Science

• 
  Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
  Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection. 466-478

Mathematical and Computational Analysis

• 
  Pierre Baldi, Peter J. Sadowski:
  Learning in the machine: Recirculation is random backpropagation. 479-494
• 
  Lyudmila Grigoryeva, Juan-Pablo Ortega:
  Echo state networks are universal. 495-508

Learning Systems

• 
  Mahmoud Ismail, Mina Attari, Saeid R. Habibi, Samir Ziada:
  Estimation theory and Neural Networks revisited: REKF and RSVSF as optimization techniques for Deep-Learning. 509-526

Mathematical and Computational Analysis

• 
  Wen-Juan Lin, Yong He, Min Wu, Qingping Liu:
  Reachable set estimation for Markovian jump neural networks with time-varying delay. 527-532

Learning Systems

• 
  Anh Viet Phan, Minh Le Nguyen, Yen Lam Hoang Nguyen, Lam Thu Bui:
  DGCNN: A convolutional neural network over large-scale labeled graphs. 533-543