Neural Networks, Volume 123

Volume 123, March 2020

Neuroscience

• 
  Peng Wan, Dihua Sun, Min Zhao:
  Finite-time and fixed-time anti-synchronization of Markovian neural networks with stochastic disturbances via switching control. 1-11

Learning Systems

• 
  Alison O'Shea, Gordon Lightbody, Geraldine B. Boylan, Andriy Temko:
  Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture. 12-25
• 
  Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du, Yangming Zhou:
  Multiple Partial Empirical Kernel Learning with Instance Weighting and Boundary Fitting. 26-37

Neuroscience

• 
  Vladimir Kornijcuk, Dohun Kim, Guhyun Kim, Doo Seok Jeong:
  Simplified calcium signaling cascade for synaptic plasticity. 38-51
• 
  Julio A. Peraza-Goicolea, Eduardo Martínez-Montes, Eduardo Aubert, Pedro A. Valdés-Hernández, Roberto Mulet:
  Modeling functional resting-state brain networks through neural message passing on the human connectome. 52-69

Mathematical and Computational Analysis

• 
  Yanyi Cao, Yuting Cao, Zhenyuan Guo, Tingwen Huang, Shiping Wen:
  Global exponential synchronization of delayed memristive neural networks with reaction-diffusion terms. 70-81

Learning Systems

• 
  Zhifan Gao, Xin Wang, Shanhui Sun, Dan Wu, Junjie Bai, Youbing Yin, Xin Liu, Heye Zhang, Victor Hugo C. de Albuquerque:
  Learning physical properties in complex visual scenes: An intelligent machine for perceiving blood flow dynamics from static CT angiography imaging. 82-93
• 
  Zheng Zhang, Qi Zhu, Guo-Sen Xie, Yi Chen, Zhengming Li, Shuihua Wang:
  Discriminative margin-sensitive autoencoder for collective multi-view disease analysis. 94-107
• 
  Mirto Musci, Giacomo Parigi, Virginio Cantoni, Marco Piastra:
  A scalable multi-signal approach for the parallelization of self-organizing neural networks. 108-117
• 
  Jesus L. Lobo, Izaskun Oregi, Albert Bifet, Javier Del Ser:
  Exploiting the stimuli encoding scheme of evolving Spiking Neural Networks for stream learning. 118-133

Engineering and Applications

• 
  Liangjian Wen, Xuanyang Zhang, Haoli Bai, Zenglin Xu:
  Structured pruning of recurrent neural networks through neuron selection. 134-141

Mathematical and Computational Analysis

• 
  Hrushikesh N. Mhaskar:
  Dimension independent bounds for general shallow networks. 142-152

Learning Systems

• 
  Sebastian Herzog, Christian Tetzlaff, Florentin Wörgötter:
  Evolving artificial neural networks with feedback. 153-162
• 
  Zhengya Sun, Cheng-Lin Liu, Jinghao Niu, Wensheng Zhang:
  Discriminative structure learning of sum-product networks for data stream classification. 163-175

Engineering and Applications

• 
  Cosimo Ieracitano, Nadia Mammone, Amir Hussain, Francesco Carlo Morabito:
  A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia. 176-190
• 
  Chandan Gautam, Pratik K. Mishra, Aruna Tiwari, Bharat Richhariya, Hari Mohan Pandey, Shuihua Wang, Muhammad Tanveer:
  Minimum variance-embedded deep kernel regularized least squares method for one-class classification and its applications to biomedical data. 191-216

Mathematical and Computational Analysis

• 
  Jianxin Cao, Shujun Liu, Hongqing Liu, Hongwei Lu:
  CS-MRI reconstruction based on analysis dictionary learning and manifold structure regularization. 217-233
• 
  Steffen Goebbels:
  A counterexample regarding "New study on neural networks: The essential order of approximation". 234-235
• 
  Jing He, Yan Liang, Feisheng Yang, Feng Yang:
  New H∞ state estimation criteria of delayed static neural networks via the Lyapunov-Krasovskii functional with negative definite terms. 236-247
• 
  Xingxing You, Qiankun Song, Zhenjiang Zhao:
  Existence and finite-time stability of discrete fractional-order complex-valued neural networks with time delays. 248-260

Learning Systems

• 
  Jun Wan, Jing Li, Zhihui Lai, Bo Du, Lefei Zhang:
  Robust face alignment by cascaded regression and de-occlusion. 261-272
• 
  Udaya Bhaskar Rongala, Alberto Mazzoni, Anton Spanne, Henrik Jörntell, Calogero M. Oddo:
  Cuneate spiking neural network learning to classify naturalistic texture stimuli under varying sensing conditions. 273-287
• 
  Peter Sussner, Israel Campiotti:
  Extreme learning machine for a new hybrid morphological/linear perceptron. 288-298

Engineering and Applications

• 
  Zhenjie Yao, Jiangong Li, Zhaoyu Guan, Yancheng Ye, Yixin Chen:
  Liver disease screening based on densely connected deep neural networks. 299-304

Learning Systems

• 
  Jing Jiang, Fei Han, Qinghua Ling, Jie Wang, Tiange Li, Henry Han:
  Efficient network architecture search via multiobjective particle swarm optimization based on decomposition. 305-316

Mathematical and Computational Analysis

• 
  Xiaona Song, Jingtao Man, Shuai Song, Zhen Wang:
  Finite-time nonfragile time-varying proportional retarded synchronization for Markovian Inertial Memristive NNs with reaction-diffusion items. 317-330

Learning Systems

• 
  Yijie Zeng, Yue Li, Jichao Chen, Xiaofan Jia, Guang-Bin Huang:
  ELM embedded discriminative dictionary learning for image classification. 331-342

Mathematical and Computational Analysis

• 
  Satoshi Hayakawa, Taiji Suzuki:
  On the minimax optimality and superiority of deep neural network learning over sparse parameter spaces. 343-361
• 
  Shiqin Wang, Zhenyuan Guo, Shiping Wen, Tingwen Huang:
  Global synchronization of coupled delayed memristive reaction-diffusion neural networks. 362-371
• 
  Malik S. A., Ajaz Hussain Mir:
  Synchronization of Hindmarsh Rose Neurons. 372-380

Neuroscience

• 
  Chen Liu, Changsong Zhou, Jiang Wang, Chris Fietkiewicz, Kenneth A. Loparo:
  The role of coupling connections in a model of the cortico-basal ganglia-thalamocortical neural loop for the generation of beta oscillations. 381-392

Learning Systems

• 
  Abbas Siddiqui, Dionysios Georgiadis:
  Global collaboration through local interaction in competitive learning. 393-400
• 
  Manuel Dorado-Moreno, Nicolò Navarin, Pedro Antonio Gutiérrez, Luis Prieto, Alessandro Sperduti, Sancho Salcedo-Sanz, César Hervás-Martínez:
  Multi-task learning for the prediction of wind power ramp events with deep neural networks. 401-411
• 
  Chuan Chen, Lixiang Li, Haipeng Peng, Yixian Yang, Ling Mi, Hui Zhao:
  A new fixed-time stability theorem and its application to the fixed-time synchronization of neural networks. 412-419
• 
  Shuang Xu, Chunxia Zhang, Jiangshe Zhang:
  Bayesian deep matrix factorization network for multiple images denoising. 420-428

Mathematical and Computational Analysis

• 
  Binglong Lu, Haijun Jiang, Cheng Hu, Abdujelil Abdurahman:
  Spacial sampled-data control for H∞ output synchronization of directed coupled reaction-diffusion neural networks with mixed delays. 429-440