Neural Networks, Volume 93

Volume 93, September 2017

Engineering and Applications

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  Naoya Oosugi, Keiichi Kitajo, Naomi Hasegawa, Yasuo Nagasaka, Kazuo Okanoya, Naotaka Fujii:
  A new method for quantifying the performance of EEG blind source separation algorithms by referencing a simultaneously recorded ECoG signal. 1-6

Learning Systems

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  Yan Xu, Jing Yang, Shuiming Zhong:
  An online supervised learning method based on gradient descent for spiking neurons. 7-20

Engineering and Applications

• 
  Yawei Wei, Ganesh Kumar Venayagamoorthy:
  Cellular computational generalized neuron network for frequency situational intelligence in a multi-machine power system. 21-35

Learning Systems

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  Jicong Fan, Tommy W. S. Chow:
  Sparse subspace clustering for data with missing entries and high-rank matrix completion. 36-44

Engineering and Applications

• 
  Marcin Wozniak, Dawid Polap:
  Hybrid neuro-heuristic methodology for simulation and control of dynamic systems over time interval. 45-56

Mathematical and Computational Analysis

• 
  Sang-Yoon Kim, Woochang Lim:
  Emergence of ultrafast sparsely synchronized rhythms and their responses to external stimuli in an inhomogeneous small-world complex neuronal network. 57-75

Learning Systems

• 
  Fengzhen Tang, Peter Tiño:
  Ordinal regression based on learning vector quantization. 76-88

Mathematical and Computational Analysis

• 
  Yin Sheng, Zhigang Zeng:
  Synchronization of stochastic reaction-diffusion neural networks with Dirichlet boundary conditions and unbounded delays. 89-98

Learning Systems

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  Babajide O. Ayinde, Jacek M. Zurada:
  Nonredundant sparse feature extraction using autoencoders with receptive fields clustering. 99-109

Mathematical and Computational Analysis

• 
  Wondimu Teka, Ranjit Kumar Upadhyay, Argha Mondal:
  Fractional-order leaky integrate-and-fire model with long-term memory and power law dynamics. 110-125

Engineering and Applications

• 
  Tiancai Wang, Xing He, Tingwen Huang, Chuandong Li, Wei Zhang:
  Collective neurodynamic optimization for economic emission dispatch problem considering valve point effect in microgrid. 126-136

Cognitive Science

• 
  Ken Takiyama:
  Bayesian geodesic path for human motor control. 137-142

Neuroscience

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  Zhanyu Yang, Biao Luo, Derong Liu, Yueheng Li:
  Pinning synchronization of memristor-based neural networks with time-varying delays. 143-151

Mathematical and Computational Analysis

• 
  Mauro Di Marco, Mauro Forti, Luca Pancioni:
  Memristor standard cellular neural networks computing in the flux-charge domain. 152-164
• 
  Xiaofan Li, Jian-An Fang, Huiyuan Li:
  Master-slave exponential synchronization of delayed complex-valued memristor-based neural networks via impulsive control. 165-175
• 
  Xianxiu Zhang, Chuandong Li, Tingwen Huang:
  Hybrid impulsive and switching Hopfield neural networks with state-dependent impulses. 176-184

Learning Systems

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  Yujian Li, Ting Zhang:
  Deep neural mapping support vector machines. 185-194

Engineering and Applications

• 
  Kasra Esfandiari, Farzaneh Abdollahi, Heidar Ali Talebi:
  Adaptive near-optimal neuro controller for continuous-time nonaffine nonlinear systems with constrained input. 195-204

Learning Systems

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  Chun-Na Li, Zeng-Rong Zheng, Ming-Zeng Liu, Yuan-Hai Shao, Wei-Jie Chen:
  Robust recursive absolute value inequalities discriminant analysis with sparseness. 205-218

Engineering and Applications

• 
  Linnan Wang, Yi Yang, Renqiang Min, Srimat T. Chakradhar:
  Accelerating deep neural network training with inconsistent stochastic gradient descent. 219-229

Neuroscience

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  Takumi Matsuzawa, László Zalányi, Tamás Kiss, Péter Érdi:
  Multi-scale modeling of altered synaptic plasticity related to Amyloid β effects. 230-239

Learning Systems

• 
  Xianchao Zhang, Han Liu, Xiaotong Zhang:
  Novel density-based and hierarchical density-based clustering algorithms for uncertain data. 240-255
• 
  Wei Lu, Korris Fu-Lai Chung, Kunfeng Lai, Liang Zhang:
  Recommender system based on scarce information mining. 256-266