Neural Networks, Volume 151

Volume 151, July 2022

Engineering and Applications

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  Talha Ilyas, Zubaer Ibna Mannan, Abbas Khan, Sami Azam, Hyongsuk Kim, Friso De Boer:
  TSFD-Net: Tissue specific feature distillation network for nuclei segmentation and classification. 1-15

Reviews

• 
  Anthony Triche, Anthony S. Maida, Ashok Kumar:
  Exploration in neo-Hebbian reinforcement learning: Computational approaches to the exploration-exploitation balance with bio-inspired neural networks. 16-33

Engineering and Applications

• 
  Marko Vasic, Andrija Petrovic, Kaiyuan Wang, Mladen Nikolic, Rishabh Singh, Sarfraz Khurshid:
  MoËT: Mixture of Expert Trees and its application to verifiable reinforcement learning. 34-47

Learning Systems

• 
  Shen-Huan Lyu, Lu Wang, Zhi-Hua Zhou:
  Improving generalization of deep neural networks by leveraging margin distribution. 48-60

Mathematical and Computational Analysis

• 
  Yejiang Yang, Tao Wang, Jefferson P. Woolard, Weiming Xiang:
  Guaranteed approximation error estimation of neural networks and model modification. 61-69

Learning Systems

• 
  Wei Ju, Xiao Luo, Zeyu Ma, Junwei Yang, Minghua Deng, Ming Zhang:
  GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification. 70-79

Mathematical and Computational Analysis

• 
  Shao-Qun Zhang, Wei Gao, Zhi-Hua Zhou:
  Towards understanding theoretical advantages of complex-reaction networks. 80-93

Learning Systems

• 
  Rui Wang, Xiaojun Wu, Ziheng Chen, Tianyang Xu, Josef Kittler:
  Learning a discriminative SPD manifold neural network for image set classification. 94-110
• 
  Biao Sun, Zexu Wu, Yong Hu, Ting Li:
  Golden subject is everyone: A subject transfer neural network for motor imagery-based brain computer interfaces. 111-120

Engineering and Applications

• 
  Shiva Kamkar, Hamid Abrishami Moghaddam, Reza Lashgari, Wolfram Erlhagen:
  Brain-inspired multiple-target tracking using Dynamic Neural Fields. 121-131

Learning Systems

• 
  Yan Wang, Yongshun Zhang, Furao Shen, Jian Zhao:
  Dynamic Auxiliary Soft Labels for decoupled learning. 132-142

Mathematical and Computational Analysis

• 
  Yuting Cao, Linhao Zhao, Shiping Wen, Tingwen Huang:
  Lag H∞ synchronization of coupled neural networks with multiple state couplings and multiple delayed state couplings. 143-155

Engineering and Applications

• 
  Isaac Chairez, Olga G. Andrianova, Tatyana Poznyak, Alexander S. Poznyak:
  Adaptive modeling of nonnegative environmental systems based on projectional Differential Neural Networks observer. 156-167

Learning Systems

• 
  Liang Yao, Gui-Fu Lu:
  Double structure scaled simplex representation for multi-view subspace clustering. 168-177

Mathematical and Computational Analysis

• 
  Gurmail Singh:
  Think positive: An interpretable neural network for image recognition. 178-189

Cognitive Science

• 
  Maria Kon, Gregory Francis:
  Cortical circuits for top-down control of perceptual grouping. 190-210

Mathematical and Computational Analysis

• 
  Zhe Wei, Qingfa Li, Jiazhen Wei, Wei Bian:
  Neural network for a class of sparse optimization with L0-regularization. 211-221

Engineering and Applications

• 
  Issam Serraoui, Oualid Laiadi, Abdelmalik Ouamane, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
  Knowledge-based tensor subspace analysis system for kinship verification. 222-237
• 
  Mengzhu Wang, Paul Li, Li Shen, Ye Wang, Shanshan Wang, Wei Wang, Xiang Zhang, Junyang Chen, Zhigang Luo:
  Informative pairs mining based adaptive metric learning for adversarial domain adaptation. 238-249

Learning Systems

• 
  Nada Chaari, Mohammed Amine Gharsallaoui, Hatice Camgöz-Akdag, Islem Rekik:
  Multigraph classification using learnable integration network with application to gender fingerprinting. 250-263
• 
  Sayar Karmakar, Anirbit Mukherjee:
  Provable training of a ReLU gate with an iterative non-gradient algorithm. 264-275

Neuroscience

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  Matteo Filippini, Davide Borra, Mauro Ursino, Elisa Magosso, Patrizia Fattori:
  Decoding sensorimotor information from superior parietal lobule of macaque via Convolutional Neural Networks. 276-294
• 
  Théophile Champion, Lancelot Da Costa, Howard Bowman, Marek Grzes:
  Branching Time Active Inference: The theory and its generality. 295-316

Engineering and Applications

• 
  Akira Taniguchi, Ayako Fukawa, Hiroshi Yamakawa:
  Hippocampal formation-inspired probabilistic generative model. 317-335

Mathematical and Computational Analysis

• 
  Jiyao An, Wei Liu, Qingqin Liu, Liang Guo, Ping Ren, Tao Li:
  DGInet: Dynamic graph and interaction-aware convolutional network for vehicle trajectory prediction. 336-348

Neuroscience

• 
  Xiao Liu, Xiaolong Zou, Zilong Ji, Gengshuo Tian, Yuanyuan Mi, Tiejun Huang, K. Y. Michael Wong, Si Wu:
  Neural feedback facilitates rough-to-fine information retrieval. 349-364

Engineering and Applications

• 
  Eiichi Asakawa, Naoshi Kaneko, Dai Hasegawa, Shinichi Shirakawa:
  Evaluation of text-to-gesture generation model using convolutional neural network. 365-375

Learning Systems

• 
  Rui Zhang, Jian Wang, Nan Jiang, Hong Li, Zichen Wang:
  Quantum support vector machine based on regularized Newton method. 376-384

Mathematical and Computational Analysis

• 
  Xiaoxuan Wang, Shaofu Yang, Zhenyuan Guo, Tingwen Huang:
  Distributed k-winners-take-all via multiple neural networks with inertia. 385-397