Neural Networks, Volume 143

Volume 143, November 2021

Learning Systems

• 
  Zhiqun Li, Qiong Chen, Qingfa Liu:
  Augmented semantic feature based generative network for generalized zero-shot learning. 1-11

Mathematical and Computational Analysis

• 
  Pierre Baldi, Roman Vershynin:
  A theory of capacity and sparse neural encoding. 12-27

Learning Systems

• 
  Xiang Wu, Juyang Weng:
  Learning to recognize while learning to speak: Self-supervision and developing a speaking motor. 28-41

Mathematical and Computational Analysis

• 
  Naoki Akai, Takatsugu Hirayama, Hiroshi Murase:
  Experimental stability analysis of neural networks in classification problems with confidence sets for persistence diagrams. 42-51
• 
  Xingnan Wen, Linhua Luan, Sitian Qin:
  A continuous-time neurodynamic approach and its discretization for distributed convex optimization over multi-agent systems. 52-65

Learning Systems

• 
  M. Reza Heydari, Saber Salehkaleybar, Kun Zhang:
  Adversarial orthogonal regression: Two non-linear regressions for causal inference. 66-73
• 
  Xiaohan Lin, Xiaolong Zou, Zilong Ji, Tiejun Huang, Si Wu, Yuanyuan Mi:
  A brain-inspired computational model for spatio-temporal information processing. 74-87
• 
  Zhong Ji, Qiang Wang, Biying Cui, Yanwei Pang, Xianbin Cao, Xuelong Li:
  A semi-supervised zero-shot image classification method based on soft-target. 88-96
• 
  Yang Xian, Yang Sun, Wenwu Wang, Syed Mohsen Naqvi:
  Convolutional fusion network for monaural speech enhancement. 97-107
• 
  Wenfeng Liu, Maoguo Gong, Zedong Tang, A. Kai Qin, Kai Sheng, Mingliang Xu:
  Locality preserving dense graph convolutional networks with graph context-aware node representations. 108-120
• 
  Ding Wang, Mingming Zhao, Mingming Ha, Jin Ren:
  Neural optimal tracking control of constrained nonaffine systems with a wastewater treatment application. 121-132

Mathematical and Computational Analysis

• 
  Yanying Liang, Wei Peng, Zhu-Jun Zheng, Olli Silvén, Guoying Zhao:
  A hybrid quantum-classical neural network with deep residual learning. 133-147

Neuroscience

• 
  Gwangsu Kim, Jaeson Jang, Se-Bum Paik:
  Periodic clustering of simple and complex cells in visual cortex. 148-160

Mathematical and Computational Analysis

• 
  Hao Zhang, Zhigang Zeng:
  Synchronization of recurrent neural networks with unbounded delays and time-varying coefficients via generalized differential inequalities. 161-170

Learning Systems

• 
  Hang Chen, Jun Du, Yu Hu, Li-Rong Dai, Bao-Cai Yin, Chin-Hui Lee:
  Correlating subword articulation with lip shapes for embedding aware audio-visual speech enhancement. 171-182

Neuroscience

• 
  Chih-Hsu Huang, Chou-Ching K. Lin:
  A novel density-based neural mass model for simulating neuronal network dynamics with conductance-based synapses and membrane current adaptation. 183-197

Mathematical and Computational Analysis

• 
  Shih-Gu Huang, Moo K. Chung, Anqi Qiu, Alzheimer's Disease Neuroimaging Initiative:
  Fast mesh data augmentation via Chebyshev polynomial of spectral filtering. 198-208

Neuroscience

• 
  Daehyun Ji, Dokwan Oh, Yoonsuk Hyun, Oh-Min Kwon, Myeong-Jin Park:
  How to handle noisy labels for robust learning from uncertainty. 209-217
• 
  Hiroyuki Ohta, Kuniaki Satori, Yu Takarada, Masashi Arake, Toshiaki Ishizuka, Yuji Morimoto, Tatsuji Takahashi:
  The asymmetric learning rates of murine exploratory behavior in sparse reward environments. 218-229

Mathematical and Computational Analysis

• 
  Zuowei Cai, Lihong Huang, Zengyun Wang, Xianmin Pan, Shukun Liu:
  Periodicity and multi-periodicity generated by impulses control in delayed Cohen-Grossberg-type neural networks with discontinuous activations. 230-245

Neural Networks Letters

• 
  Tianping Chen, Wenlian Lu, Xiwei Liu:
  Finite time convergence of pinning synchronization with a single nonlinear controller. 246-249

Engineering and Applications

• 
  Xiaochun An, Frank K. Soong, Shan Yang, Lei Xie:
  Effective and direct control of neural TTS prosody by removing interactions between different attributes. 250-260

Learning Systems

• 
  Ting Ma, Shangwen Lv, Longtao Huang, Songlin Hu:
  HiAM: A Hierarchical Attention based Model for knowledge graph multi-hop reasoning. 261-270

Neuroscience

• 
  Jinling Wang, Haijun Jiang, Cheng Hu, Tianlong Ma:
  Exponential passivity of discrete-time switched neural networks with transmission delays via an event-triggered sliding mode control. 271-282

Mathematical and Computational Analysis

• 
  Yongchao Liu, Qidan Zhu:
  Adaptive neural network asymptotic tracking control for nonstrict feedback stochastic nonlinear systems. 283-290

Learning Systems

• 
  Hikaru Sasaki, Takamitsu Matsubara:
  Variational policy search using sparse Gaussian process priors for learning multimodal optimal actions. 291-302
• 
  Yuanyuan Qing, Yijie Zeng, Guang-Bin Huang:
  Label propagation via local geometry preserving for deep semi-supervised image recognition. 303-313

Mathematical and Computational Analysis

• 
  Francesca Elisa Leonelli, Elena Agliari, Linda Albanese, Adriano Barra:
  On the effective initialisation for restricted Boltzmann machines via duality with Hopfield model. 314-326

Learning Systems

• 
  Jingjing Tang, Jiahui Li, Weiqi Xu, Yingjie Tian, Xuchan Ju, Jie Zhang:
  Robust cost-sensitive kernel method with Blinex loss and its applications in credit risk evaluation. 327-344
• 
  Yang Li, Wei Zhao, Erik Cambria, Suhang Wang, Steffen Eger:
  Graph routing between capsules. 345-354
• 
  Jiyao An, Liang Guo, Wei Liu, Zhiqiang Fu, Ping Ren, Xinzhi Liu, Tao Li:
  IGAGCN: Information geometry and attention-based spatiotemporal graph convolutional networks for traffic flow prediction. 355-367

Mathematical and Computational Analysis

• 
  Heng Lian, Jiamin Liu, Zengyan Fan:
  Distributed learning for sketched kernel regression. 368-376

Engineering and Applications

• 
  Kangkang Sun, Jianbin Qiu, Hamid Reza Karimi:
  Neural adaptive fault-tolerant finite-time control for nonstrict feedback systems: An event-triggered mechanism. 377-385

Learning Systems

• 
  Huaqing Zhang, Yi-Fei Pu, Xuetao Xie, Bingran Zhang, Jian Wang, Tingwen Huang:
  A global neural network learning machine: Coupled integer and fractional calculus operator with an adaptive learning scheme. 386-399
• 
  Jiaming Wang, Zhenfeng Shao, Xiao Huang, Tao Lu, Ruiqian Zhang, Jiayi Ma:
  Enhanced image prior for unsupervised remoting sensing super-resolution. 400-412

Mathematical and Computational Analysis

• 
  Palanisamy Selvaraj, O. M. Kwon, Seung-Hoon Lee, R. Sakthivel:
  Equivalent-input-disturbance estimator-based event-triggered control design for master-slave neural networks. 413-424

Learning Systems

• 
  Harikrishnan N. B., Nithin Nagaraj:
  When Noise meets Chaos: Stochastic Resonance in Neurochaos Learning. 425-435
• 
  Katsunari Shibata, Takuya Ejima, Yuki Tokumaru, Toshitaka Matsuki:
  Sensitivity - Local index to control chaoticity or gradient globally -. 436-451

Neuroscience

• 
  Bilal Orkan Olcay, Murat Özgören, Bilge Karaçali:
  On the characterization of cognitive tasks using activity-specific short-lived synchronization between electroencephalography channels. 452-474

Engineering and Applications

• 
  Christos Chatzikonstantinou, Dimitrios Konstantinidis, Kosmas Dimitropoulos, Petros Daras:
  Recurrent neural network pruning using dynamical systems and iterative fine-tuning. 475-488
• 
  Amin Jalali, Swathi Kavuri, Minho Lee:
  Low-shot transfer with attention for highly imbalanced cursive character recognition. 489-499

Learning Systems

• 
  Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara:
  Sparse random feature maps for the item-multiset kernel. 500-514

Mathematical and Computational Analysis

• 
  Xiaoxiao Lv, Jinde Cao, Leszek Rutkowski:
  Dynamical and static multisynchronization analysis for coupled multistable memristive neural networks with hybrid control. 515-524

Engineering and Applications

• 
  Xiaofeng Xiong, Poramate Manoonpong:
  Online sensorimotor learning and adaptation for inverse dynamics control. 525-536
• 
  Adnan Haider, Chao Zhang, Florian L. Kreyssig, Philip C. Woodland:
  A distributed optimisation framework combining natural gradient with Hessian-free for discriminative sequence training. 537-549

Learning Systems

• 
  Hiroto Tamura, Gouhei Tanaka:
  Transfer-RLS method and transfer-FORCE learning for simple and fast training of reservoir computing models. 550-563
• 
  Buse Melis Özyildirim, Mariam Kiran:
  Levenberg-Marquardt multi-classification using hinge loss function. 564-571

Cognitive Science

• 
  Giovanni Granato, Gianluca Baldassarre:
  Internal manipulation of perceptual representations in human flexible cognition: A computational model. 572-594

Learning Systems

• 
  Wenyu Hao, Shanmin Pang, Zhikai Chen:
  Multi-view spectral clustering via common structure maximization of local and global representations. 595-606
• 
  Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu:
  Continual learning for recurrent neural networks: An empirical evaluation. 607-627

Cognitive Science

• 
  Yakov B. Kazanovich, Roman Borisyuk:
  A computational model of familiarity detection for natural pictures, abstract images, and random patterns: Combination of deep learning and anti-Hebbian training. 628-637
• 
  Louis Annabi, Alexandre Pitti, Mathias Quoy:
  Bidirectional interaction between visual and motor generative models using Predictive Coding and Active Inference. 638-656

Learning Systems

• 
  Yong Guo, Yaofo Chen, Mingkui Tan, Kui Jia, Jian Chen, Jingdong Wang:
  Content-aware convolutional neural networks. 657-668
• 
  Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan:
  CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning. 669-677

Mathematical and Computational Analysis

• 
  Wenjing Li, Wei Bian:
  Smoothing neural network for L0 regularized optimization problem with general convex constraints. 678-689

Learning Systems

• 
  Zhihao Zhao, Samuel Cheng:
  Capsule networks with non-iterative cluster routing. 690-697
• 
  Cláudio A. Monteiro, Gustavo I. S. Filho, Matheus Hopper J. Costa, Fernando M. de Paula Neto, Wilson Rosa de Oliveira:
  Quantum neuron with real weights. 698-708
• 
  Rui Zhang, Qi Zhu, Xiangyu Xu, Daoqiang Zhang, Sheng-Jun Huang:
  Visual-guided attentive attributes embedding for zero-shot learning. 709-718
• 
  Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
  Hebbian semi-supervised learning in a sample efficiency setting. 719-731

Mathematical and Computational Analysis

• 
  Tim De Ryck, Samuel Lanthaler, Siddhartha Mishra:
  On the approximation of functions by tanh neural networks. 732-750

Learning Systems

• 
  Oleg Solopchuk, Alexandre Zenon:
  Active sensing with artificial neural networks. 751-758
• 
  Fen Liu, Chang Liu, Hong-Xia Rao, Yong Xu, Tingwen Huang:
  Reliable impulsive synchronization for fuzzy neural networks with mixed controllers. 759-766

Engineering and Applications

• 
  Libin Jiao, Lianzhi Huo, Changmiao Hu, Ping Tang:
  Refined UNet v3: Efficient end-to-end patch-wise network for cloud and shadow segmentation with multi-channel spectral features. 767-782

Learning Systems

• 
  Oleg Nikitin, Olga Lukyanova, Alex Kunin:
  Constrained plasticity reserve as a natural way to control frequency and weights in spiking neural networks. 783-797

Mathematical and Computational Analysis

• 
  Nancy A. Lynch, Frederik Mallmann-Trenn:
  Learning hierarchically-structured concepts. 798-817

Engineering and Applications

• 
  Leonardo Alves Dias, Augusto M. P. Damasceno, Elena I. Gaura, Marcelo A. C. Fernandes:
  A full-parallel implementation of Self-Organizing Maps on hardware. 818-827