Neural Networks, Volume 122

Volume 122, February 2020

Learning Systems

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  Qian Wang, Ke Chen:
  Multi-label zero-shot human action recognition via joint latent ranking embedding. 1-23
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  Guoqiang Wu, Ruobing Zheng, Yingjie Tian, Dalian Liu:
  Joint Ranking SVM and Binary Relevance with robust Low-rank learning for multi-label classification. 24-39

Engineering and Applications

• 
  You Zhao, Xing He, Tingwen Huang, Junjian Huang, Peng Li:
  A smoothing neural network for minimization l1-lp in sparse signal reconstruction with measurement noises. 40-53

Mathematical and Computational Analysis

• 
  Fidelis Zanetti de Castro, Marcos Eduardo Valle:
  A broad class of discrete-time hypercomplex-valued Hopfield neural networks. 54-67

Learning Systems

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  Robert A. Baxter, William B. Levy:
  Constructing multilayered neural networks with sparse, data-driven connectivity using biologically-inspired, complementary, homeostatic mechanisms. 68-93
• 
  Peng-Bo Zhang, Zhi-Xin Yang:
  A new learning paradigm for random vector functional-link network: RVFL+. 94-105

Mathematical and Computational Analysis

• 
  Rakesh Kumar, Subir Das, Yang Cao:
  Effects of infinite occurrence of hybrid impulses with quasi-synchronization of parameter mismatched neural networks. 106-116

Learning Systems

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  Jie Yang, Jiuwen Cao, Tianlei Wang, Anke Xue, Badong Chen:
  Regularized correntropy criterion based semi-supervised ELM. 117-129

Neuroscience

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  Carlos Daniel Virgilio-González, Juan Humberto Sossa Azuela, Javier Mauricio Antelis, Luis Eduardo Falcón:
  Spiking Neural Networks applied to the classification of motor tasks in EEG signals. 130-143

Mathematical and Computational Analysis

• 
  Yan Zhao, Qingshan Liu:
  A consensus algorithm based on collective neurodynamic system for distributed optimization with linear and bound constraints. 144-151
• 
  Shunyuan Xiao, Yijun Zhang, Baoyong Zhang:
  ℓ1-gain filter design of discrete-time positive neural networks with mixed delays. 152-162

Engineering and Applications

• 
  Kai Zhang, Xiaoyan Li, Lin He, Chong Guo, Yahan Yang, Zhou Dong, Haoqing Yang, Yi Zhu, Chuan Chen, Xiaojing Zhou, Wangting Li, Zhenzhen Liu, Xiaohang Wu, Xiyang Liu, Haotian Lin:
  A human-in-the-loop deep learning paradigm for synergic visual evaluation in children. 163-173
• 
  Youxiang Zhu, Ruochen Li, Yin Yang, Ning Ye:
  Learning Cascade Attention for fine-grained image classification. 174-182
• 
  Lenka Pitonakova, Seth Bullock:
  The robustness-fidelity trade-off in Grow When Required neural networks performing continuous novelty detection. 183-195

Mathematical and Computational Analysis

• 
  Sergio Valadez-Godínez, Humberto Sossa, Raúl Santiago-Montero:
  On the accuracy and computational cost of spiking neuron implementation. 196-217

Neuroscience

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  Sam Blakeman, Denis Mareschal:
  A complementary learning systems approach to temporal difference learning. 218-230
• 
  Peng Wan, Dihua Sun, Min Zhao, Li Wan, Shuang Jin:
  Multistability and attraction basins of discrete-time neural networks with nonmonotonic piecewise linear activation functions. 231-238

Mathematical and Computational Analysis

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  Zhenyuan Guo, Shiqin Ou, Jun Wang:
  Multistability of switched neural networks with sigmoidal activation functions under state-dependent switching. 239-252

Learning Systems

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  Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Georgina Cosma, Liam P. Maguire, T. Martin McGinnity:
  A review of learning in biologically plausible spiking neural networks. 253-272
• 
  Francisco Silva, Mikel Sanz, João Seixas, Enrique Solano, Yasser Omar:
  Perceptrons from memristors. 273-278
• 
  Zhao Kang, Xinjia Zhao, Chong Peng, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng, Wenyu Chen, Zenglin Xu:
  Partition level multiview subspace clustering. 279-288
• 
  Xinmin Tao, Qing Li, Chao Ren, Wenjie Guo, Qing He, Rui Liu, Junrong Zou:
  Affinity and class probability-based fuzzy support vector machine for imbalanced data sets. 289-307

Mathematical and Computational Analysis

• 
  Ying Yu, Yuqing Hao, Qingyun Wang:
  Model-based optimized phase-deviation deep brain stimulation for Parkinson 's disease. 308-319
• 
  Jianying Xiao, Shiping Wen, Xujun Yang, Shouming Zhong:
  New approach to global Mittag-Leffler synchronization problem of fractional-order quaternion-valued BAM neural networks based on a new inequality. 320-337

Learning Systems

• 
  Pablo Lanillos, Daniel Oliva, Anja Philippsen, Yuichi Yamashita, Yukie Nagai, Gordon Cheng:
  A review on neural network models of schizophrenia and autism spectrum disorder. 338-363
• 
  Maoguo Gong, Huimin Zeng, Yu Xie, Hao Li, Zedong Tang:
  Local distinguishability aggrandizing network for human anomaly detection. 364-373
• 
  Jinxuan Sun, Guoqiang Zhong, Yang Chen, Yongbin Liu, Tao Li, Kaizhu Huang:
  Generative adversarial networks with mixture of t-distributions noise for diverse image generation. 374-381

Mathematical and Computational Analysis

• 
  Xingxing You, Qiankun Song, Zhenjiang Zhao:
  Global Mittag-Leffler stability and synchronization of discrete-time fractional-order complex-valued neural networks with time delay. 382-394

Learning Systems

• 
  Yue Li, Yijie Zeng, Tianchi Liu, Xiaofan Jia, Guang-Bin Huang:
  Simultaneously learning affinity matrix and data representations for machine fault diagnosis. 395-406

Neuroscience

• 
  Saiyed Umer, Alamgir Sardar, Bibhas Chandra Dhara, Ranjeet Kumar Rout, Hari Mohan Pandey:
  Person identification using fusion of iris and periocular deep features. 407-419

Learning Systems

• 
  Damien Depannemaecker, Luiz Eduardo Canton Santos, Antônio Márcio Rodrigues, Carla Alessandra Scorza, Fulvio Alexandre Scorza, Antônio-Carlos Guimarães de Almeida:
  Realistic spiking neural network: Non-synaptic mechanisms improve convergence in cell assembly. 420-433