Neural Networks, Volume 154

Volume 154, October 2022

Learning Systems

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  Lina Xia, Qing Li, Ruizhuo Song, Shuzhi Sam Ge:
  Distributed optimized dynamic event-triggered control for unknown heterogeneous nonlinear MASs with input-constrained. 1-12

Engineering and Applications

• 
  Yating Huang, Yunzhe Hao, Jiaming Xu, Bo Xu:
  Compressing speaker extraction model with ultra-low precision quantization and knowledge distillation. 13-21

Learning Systems

• 
  Amir Amirinezhad, Saber Salehkaleybar, Matin Hashemi:
  Active learning of causal structures with deep reinforcement learning. 22-30

Neuroscience

• 
  Huawei Xu, Ming Liu, Delong Zhang:
  How does the brain represent the semantic content of an image? 31-42

Learning Systems

• 
  Fanghua Tang, Ben Niu, Guangdeng Zong, Xudong Zhao, Ning Xu:
  Periodic event-triggered adaptive tracking control design for nonlinear discrete-time systems via reinforcement learning. 43-55

Neuroscience

• 
  Xusheng Zhao, Jia Wu, Hao Peng, Amin Beheshti, Jessica J. M. Monaghan, David McAlpine, Heivet Hernandez-Perez, Mark Dras, Qiong Dai, Yangyang Li, Philip S. Yu, Lifang He:
  Deep reinforcement learning guided graph neural networks for brain network analysis. 56-67

Learning Systems

• 
  Dongcheng Zhao, Yi Zeng, Yang Li:
  BackEISNN: A deep spiking neural network with adaptive self-feedback and balanced excitatory-inhibitory neurons. 68-77
• 
  Qing Wan, Yoonsuck Choe:
  AdjointBackMap: Reconstructing effective decision hypersurfaces from CNN layers using adjoint operators. 78-98

Mathematical and Computational Analysis

• 
  Qingxia Liu, Bang Wang:
  Neural extraction of multiscale essential structure for network dismantling. 99-108

Cognitive Science

• 
  Yihao Wu, Masahiko Morita, Jun Izawa:
  Reward prediction errors, not sensory prediction errors, play a major role in model selection in human reinforcement learning. 109-121

Engineering and Applications

• 
  R. K. Daniels, Joshua B. Mallinson, Zachary Heywood, Philip Bones, Matthew D. Arnold, Simon A. Brown:
  Reservoir computing with 3D nanowire networks. 122-130

Learning Systems

• 
  Ding Wang, Huiling Zhao, Mingming Zhao, Jin Ren:
  Novel optimal trajectory tracking for nonlinear affine systems with an advanced critic learning structure. 131-140

Cognitive Science

• 
  Wenming Cao, Shuangshuang Li, Jianqi Zhong:
  QMEDNet: A quaternion-based multi-order differential encoder-decoder model for 3D human motion prediction. 141-151

Mathematical and Computational Analysis

• 
  Sean Hon, Haizhao Yang:
  Simultaneous neural network approximation for smooth functions. 152-164

Learning Systems

• 
  Qiangqiang Ren, Chao Yuan, Yifeng Zhao, Liming Yang:
  A multi-birth metric learning framework based on binary constraints. 165-178

Engineering and Applications

• 
  Jianyuan Sun, Hongchuan Yu, Jian J. Zhang, Junyu Dong, Hui Yu, Guoqiang Zhong:
  Face image-sketch synthesis via generative adversarial fusion. 179-189

Learning Systems

• 
  Yuhu Wang, Chunxia Zhang, Shiming Xiang, Chunhong Pan:
  Subgraph-aware graph structure revision for spatial-temporal graph modeling. 190-202
• 
  Siyuan Peng, Zhijing Yang, Feiping Nie, Badong Chen, Zhiping Lin:
  Correntropy based semi-supervised concept factorization with adaptive neighbors for clustering. 203-217
• 
  Alex Lamb, Vikas Verma, Kenji Kawaguchi, Alexander Matyasko, Savya Khosla, Juho Kannala, Yoshua Bengio:
  Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy. 218-233
• 
  Guoquan Dai, Xizhao Wang, Xiaoying Zou, Chao Liu, Si Cen:
  MRGAT: Multi-Relational Graph Attention Network for knowledge graph completion. 234-245
• 
  Ionela Georgiana Mocanu, Zhenxu Yang, Vaishak Belle:
  Breaking CAPTCHA with Capsule Networks. 246-254

Engineering and Applications

• 
  Hangjun Che, Jun Wang, Andrzej Cichocki:
  Sparse signal reconstruction via collaborative neurodynamic optimization. 255-269

Learning Systems

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  Ning Ma, Jiajun Bu, Lixian Lu, Jun Wen, Sheng Zhou, Zhen Zhang, Jingjun Gu, Haifeng Li, Xifeng Yan:
  Context-guided entropy minimization for semi-supervised domain adaptation. 270-282

Cognitive Science

• 
  Federica Robertazzi, Matteo Vissani, Guido Schillaci, Egidio Falotico:
  Brain-inspired meta-reinforcement learning cognitive control in conflictual inhibition decision-making task for artificial agents. 283-302

Mathematical and Computational Analysis

• 
  Xinyi He, Xiaodi Li, Shiji Song:
  Finite-time stability of state-dependent delayed systems and application to coupled neural networks. 303-309

Learning Systems

• 
  Georg Brandmayr, Manfred Martin Hartmann, Franz Fürbass, Gerald Matz, Matthias Samwald, Tilmann Kluge, Georg Dorffner:
  Relational local electroencephalography representations for sleep scoring. 310-322

Mathematical and Computational Analysis

• 
  Youngkyu Lee, Jongho Park, Chang-Ock Lee:
  Two-level group convolution. 323-332

Engineering and Applications

• 
  Haakon Robinson, Suraj Pawar, Adil Rasheed, Omer San:
  Physics guided neural networks for modelling of non-linear dynamics. 333-345

Learning Systems

• 
  Lev V. Utkin, Andrei V. Konstantinov:
  Attention-based random forest and contamination model. 346-359

Engineering and Applications

• 
  Robert Stephany, Christopher J. Earls:
  PDE-READ: Human-readable partial differential equation discovery using deep learning. 360-382

Cognitive Science

• 
  Natalie Maus, Oliver W. Layton:
  Estimating heading from optic flow: Comparing deep learning network and human performance. 383-396

Learning Systems

• 
  Yongwon Hong, Martin Mundt, Sungho Park, Yungjung Uh, Hyeran Byun:
  Return of the normal distribution: Flexible deep continual learning with variational auto-encoders. 397-412

Engineering and Applications

• 
  Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu:
  Latent neighborhood-based heterogeneous graph representation. 413-424
• 
  S. Thompson, Filipe Teixeira-Dias, Mariana Paulino, A. Hamilton:
  Predictions on multi-class terminal ballistics datasets using conditional Generative Adversarial Networks. 425-440

Mathematical and Computational Analysis

• 
  Kunwoong Kim, Ilsang Ohn, Sara Kim, Yongdai Kim:
  SLIDE: A surrogate fairness constraint to ensure fairness consistency. 441-454

Learning Systems

• 
  Yi Shan Lee, Junghui Chen:
  Using source data to aid and build variational state-space autoencoders with sparse target data for process monitoring. 455-468

Mathematical and Computational Analysis

• 
  Xiaoyu Zhang, Chuandong Li, Hongfei Li, Zhengran Cao:
  Mean-square stabilization of impulsive neural networks with mixed delays by non-fragile feedback involving random uncertainties. 469-480

Learning Systems

• 
  Ziheng Duan, Haoyan Xu, Yueyang Wang, Yida Huang, Anni Ren, Zhongbin Xu, Yizhou Sun, Wei Wang:
  Multivariate time-series classification with hierarchical variational graph pooling. 481-490

Mathematical and Computational Analysis

• 
  Jianying Xiao, Xiao Guo, Yongtao Li, Shiping Wen, Kaibo Shi, Yiqian Tang:
  Extended analysis on the global Mittag-Leffler synchronization problem for fractional-order octonion-valued BAM neural networks. 491-507

Learning Systems

• 
  Shenfei Pei, Yuze Zhang, Rong Wang, Feiping Nie:
  A portable clustering algorithm based on compact neighbors for face tagging. 508-520

Engineering and Applications

• 
  Jing Zhao, Long Lan, Da Huang, Jing Ren, Wenjing Yang:
  Heterogeneous Pseudo-Supervised Learning for Few-shot Person Re-Identification. 521-537

Neural Networks Letters

• 
  Bhavin Choksi, Milad Mozafari, Rufin VanRullen, Leila Reddy:
  Multimodal neural networks better explain multivoxel patterns in the hippocampus. 538-542
• 
  Junfei Dong, Runhao Jiang, Rong Xiao, Rui Yan, Huajin Tang:
  Event stream learning using spatio-temporal event surface. 543-559

Learning Systems

• 
  Li Li, Duo Liu, Moming Duan, Yu Zhang, Ao Ren, Xianzhang Chen, Yujuan Tan, Chengliang Wang:
  Federated learning with workload-aware client scheduling in heterogeneous systems. 560-573