Neural Networks, Volume 150

Volume 150, June 2022

Learning Systems

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  Sihong Chen, Haojing Shen, Ran Wang, Xizhao Wang:
  Towards improving fast adversarial training in multi-exit network. 1-11
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  Jianping Gou, Xin He, Junyu Lu, Hongxing Ma, Weihua Ou, Yunhao Yuan:
  A class-specific mean vector-based weighted competitive and collaborative representation method for classification. 12-27

Engineering and Applications

• 
  Jingyong Hou, Lei Xie, Shilei Zhang:
  Two-stage streaming keyword detection and localization with multi-scale depthwise temporal convolution. 28-42

Mathematical and Computational Analysis

• 
  Yao Xu, Jingjing Liu, Wenxue Li:
  Quasi-synchronization of fractional-order multi-layer networks with mismatched parameters via delay-dependent impulsive feedback control. 43-57

Learning Systems

• 
  Lingguang Hao, Kuangrong Hao, Bing Wei, Xue-Song Tang:
  Boosting the transferability of adversarial examples via stochastic serial attack. 58-67

Engineering and Applications

• 
  Jiyoon Lee, Seoung Bum Kim:
  Uncertainty-aware hierarchical segment-channel attention mechanism for reliable and interpretable multichannel signal classification. 68-86

Learning Systems

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  Xiaoling Gong, Ling Yu, Jian Wang, Kai Zhang, Xiao Bai, Nikhil R. Pal:
  Unsupervised feature selection via adaptive autoencoder with redundancy control. 87-101
• 
  Nan Zhao, Jie Bu:
  Robust multi-view subspace clustering based on consensus representation and orthogonal diversity. 102-111
• 
  Yu Yun, Sen Wang, Mingzhen Hou, Quanxue Gao:
  Attributes learning network for generalized zero-shot learning. 112-118
• 
  Yasin Almalioglu, Mehmet Turan, Muhamad Risqi Utama Saputra, Pedro Porto Buarque de Gusmão, Andrew Markham, Niki Trigoni:
  SelfVIO: Self-supervised deep monocular Visual-Inertial Odometry and depth estimation. 119-136

Engineering and Applications

• 
  Gianluca Milano, Enrique Miranda, Carlo Ricciardi:
  Connectome of memristive nanowire networks through graph theory. 137-148

Learning Systems

• 
  Asmaa Rassil, Hiba Chougrad, Hamid Zouaki:
  Augmented Graph Neural Network with hierarchical global-based residual connections. 149-166
• 
  Krishnakumar Santhakumar, S. Hamidreza Kasaei:
  Lifelong 3D object recognition and grasp synthesis using dual memory recurrent self-organization networks. 167-180

Mathematical and Computational Analysis

• 
  Yufei Liu, Bo Shen, Ping Zhang:
  Synchronization and state estimation for discrete-time coupled delayed complex-valued neural networks with random system parameters. 181-193

Learning Systems

• 
  Xinying Pang, Jiang Zhao, Yitian Xu:
  A novel ramp loss-based multi-task twin support vector machine with multi-parameter safe acceleration. 194-212

Mathematical and Computational Analysis

• 
  Mingzhu Wang, Xiaodi Li, Peiyong Duan:
  Event-triggered delayed impulsive control for nonlinear systems with application to complex neural networks. 213-221

Learning Systems

• 
  Valerio Biscione, Jeffrey S. Bowers:
  Learning online visual invariances for novel objects via supervised and self-supervised training. 222-236

Neuroscience

• 
  Sergio Oscar Verduzco-Flores, William Dorrell, Erik De Schutter:
  A differential Hebbian framework for biologically-plausible motor control. 237-258

Mathematical and Computational Analysis

• 
  Gerrit Welper:
  Universality of gradient descent neural network training. 259-273

Learning Systems

• 
  Hongming Li, Ran Dou, Andreas Keil, José C. Príncipe:
  A self-learning cognitive architecture exploiting causality from rewards. 274-292
• 
  Tadahiro Taniguchi, Hiroshi Yamakawa, Takayuki Nagai, Kenji Doya, Masamichi Sakagami, Masahiro Suzuki, Tomoaki Nakamura, Akira Taniguchi:
  A whole brain probabilistic generative model: Toward realizing cognitive architectures for developmental robots. 293-312
• 
  Xiaonan Cui, Dinghan Hu, Peng Lin, Jiuwen Cao, Xiaoping Lai, Tianlei Wang, Tiejia Jiang, Feng Gao:
  Deep feature fusion based childhood epilepsy syndrome classification from electroencephalogram. 313-325
• 
  Gyoung S. Na:
  Efficient learning rate adaptation based on hierarchical optimization approach. 326-335

Mathematical and Computational Analysis

• 
  You Zhao, Xiaofeng Liao, Xing He:
  Novel projection neurodynamic approaches for constrained convex optimization. 336-349
• 
  Amirreza Nekooei, Saeed Safari:
  Compression of Deep Neural Networks based on quantized tensor decomposition to implement on reconfigurable hardware platforms. 350-363

Learning Systems

• 
  Pablo V. A. Barros, Alessandra Sciutti:
  All by Myself: Learning individualized competitive behavior with a contrastive reinforcement learning optimization. 364-376

Neuroscience

• 
  Tianshi Gao, Bin Deng, Jixuan Wang, Jiang Wang, Guosheng Yi:
  The passive properties of dendrites modulate the propagation of slowly-varying firing rate in feedforward networks. 377-391

Learning Systems

• 
  Puneet Kumar, Balasubramanian Raman:
  A BERT based dual-channel explainable text emotion recognition system. 392-407
• 
  Sam Blakeman, Denis Mareschal:
  Selective particle attention: Rapidly and flexibly selecting features for deep reinforcement learning. 408-421
• 
  Ngoc-Huynh Ho, Hyung-Jeong Yang, Jahae Kim, Duy-Phuong Dao, Hyuk-Ro Park, Sudarshan Pant:
  Predicting progression of Alzheimer's disease using forward-to-backward bi-directional network with integrative imputation. 422-439
• 
  Shan Liao, Shubin Li, Jiayong Liu, Haoen Huang, Xiuchun Xiao:
  A zeroing neural dynamics based acceleration optimization approach for optimizers in deep neural networks. 440-461