Neural Networks, Volume 144

Volume 144, December 2021

Learning Systems

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  Qihao Zhao, Wei Hu, Yangyu Huang, Fan Zhang:
  P-DIFF+: Improving learning classifier with noisy labels by Noisy Negative Learning loss. 1-10

Mathematical and Computational Analysis

• 
  Lingzhong Zhang, Jie Zhong, Jianquan Lu:
  Intermittent control for finite-time synchronization of fractional-order complex networks. 11-20

Learning Systems

• 
  Xinrui Jiang, Nannan Wang, Jingwei Xin, Xiaobo Xia, Xi Yang, Xinbo Gao:
  Learning lightweight super-resolution networks with weight pruning. 21-32
• 
  Taewon Park, Inchul Choi, Minho Lee:
  Distributed associative memory network with memory refreshing loss. 33-48
• 
  Yuyang Gao, Giorgio A. Ascoli, Liang Zhao:
  Schematic memory persistence and transience for efficient and robust continual learning. 49-60

Mathematical and Computational Analysis

• 
  Kai Yang, Haijun Zhang, Dongliang Zhou, Linlin Liu:
  TGAN: A simple model update strategy for visual tracking via template-guidance attention network. 61-74
• 
  Bo Liu, Zhaoying Liu, Ting Zhang, Tongtong Yuan:
  Non-differentiable saddle points and sub-optimal local minima exist for deep ReLU networks. 75-89
• 
  Wei Huang, Hongmei Yan, Kaiwen Cheng, Chong Wang, Jiyi Li, Yuting Wang, Chen Li, Chaorong Li, Yunhan Li, Zhentao Zuo, Huafu Chen:
  A neural decoding algorithm that generates language from visual activity evoked by natural images. 90-100

Learning Systems

• 
  Shunchao Zhang, Bo Zhao, Derong Liu, Yongwei Zhang:
  Observer-based event-triggered control for zero-sum games of input constrained multi-player nonlinear systems. 101-112
• 
  Tullio Mancini, Hector Calvo-Pardo, Jose Olmo:
  Extremely randomized neural networks for constructing prediction intervals. 113-128

Neuroscience

• 
  Yangsong Zhang, Huan Cai, Li Nie, Peng Xu, Sirui Zhao, Cuntai Guan:
  An end-to-end 3D convolutional neural network for decoding attentive mental state. 129-137

Learning Systems

• 
  Eiji Uchibe, Kenji Doya:
  Forward and inverse reinforcement learning sharing network weights and hyperparameters. 138-153
• 
  Zhiyuan Zhang, Ruixuan Luo, Xuancheng Ren, Qi Su, Liangyou Li, Xu Sun:
  Adversarial parameter defense by multi-step risk minimization. 154-163

Neuroscience

• 
  Zhaoyang Pang, Callum Biggs O'May, Bhavin Choksi, Rufin VanRullen:
  Predictive coding feedback results in perceived illusory contours in a recurrent neural network. 164-175

Learning Systems

• 
  Mingming Ha, Ding Wang, Derong Liu:
  Neural-network-based discounted optimal control via an integrated value iteration with accuracy guarantee. 176-186
• 
  Stanislav Frolov, Tobias Hinz, Federico Raue, Jörn Hees, Andreas Dengel:
  Adversarial text-to-image synthesis: A review. 187-209

Neuroscience

• 
  Michael Teichmann, René Larisch, Fred H. Hamker:
  Performance of biologically grounded models of the early visual system on standard object recognition tasks. 210-228

Learning Systems

• 
  Dimitrije Markovic, Hrvoje Stojic, Sarah Schwöbel, Stefan J. Kiebel:
  An empirical evaluation of active inference in multi-armed bandits. 229-246

Engineering and Applications

• 
  Tingkai Chen, Ning Wang, Rongfeng Wang, Hong Zhao, Guichen Zhang:
  One-stage CNN detector-based benthonic organisms detection with limited training dataset. 247-259

Learning Systems

• 
  Hongwei Yin, Wenjun Hu, Zhao Zhang, Jungang Lou, Minmin Miao:
  Incremental multi-view spectral clustering with sparse and connected graph learning. 260-270
• 
  Takashi Shinozaki:
  Biologically motivated learning method for deep neural networks using hierarchical competitive learning. 271-278

Engineering and Applications

• 
  Jiaming Zhang, Zhanfeng Li, Xinyuan Song, Hanwen Ning:
  Deep Tobit networks: A novel machine learning approach to microeconometrics. 279-296

Learning Systems

• 
  Haowei Jiang, Feiwei Qin, Jin Cao, Yong Peng, Yanli Shao:
  Recurrent neural network from adder's perspective: Carry-lookahead RNN. 297-306

Mathematical and Computational Analysis

• 
  Dongsheng Xu, Jiahuan Pang, Huan Su:
  Bipartite synchronization of signed networks via aperiodically intermittent control based on discrete-time state observations. 307-319

Learning Systems

• 
  Dingheng Wang, Guangshe Zhao, Hengnu Chen, Zhexian Liu, Lei Deng, Guoqi Li:
  Nonlinear tensor train format for deep neural network compression. 320-333

Engineering and Applications

• 
  Federico Landi, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara:
  Working Memory Connections for LSTM. 334-341
• 
  Weiwen Wu, Dianlin Hu, Chuang Niu, Lieza Vanden Broeke, Anthony P. H. Butler, Peng Cao, James Atlas, Alexander I. Chernoglazov, Varut Vardhanabhuti, Ge Wang:
  Deep learning based spectral CT imaging. 342-358
• 
  Priyabrata Saha, Saurabh Dash, Saibal Mukhopadhyay:
  Physics-incorporated convolutional recurrent neural networks for source identification and forecasting of dynamical systems. 359-371

Mathematical and Computational Analysis

• 
  Libiao Peng, Xifeng Li, Dongjie Bi, Xuan Xie, Yongle Xie:
  Pinning multisynchronization of delayed fractional-order memristor-based neural networks with nonlinear coupling and almost-periodic perturbations. 372-383

Learning Systems

• 
  Elisabeth J. Schiessler, Roland C. Aydin, Kevin Linka, Christian J. Cyron:
  Neural network surgery: Combining training with topology optimization. 384-393
• 
  Yuki Mae, Wataru Kumagai, Takafumi Kanamori:
  Uncertainty propagation for dropout-based Bayesian neural networks. 394-406
• 
  Jary Pomponi, Simone Scardapane, Aurelio Uncini:
  Structured Ensembles: An approach to reduce the memory footprint of ensemble methods. 407-418
• 
  Jesús García Fernández, Siamak Mehrkanoon:
  Broad-UNet: Multi-scale feature learning for nowcasting tasks. 419-427

Cognitive Science

• 
  Francesco Mannella, Federico Maggiore, Manuel Baltieri, Giovanni Pezzulo:
  Active inference through whiskers. 428-437

Mathematical and Computational Analysis

• 
  Robert Demb, David A. Sprecher:
  A note on computing with Kolmogorov Superpositions without iterations. 438-442

Learning Systems

• 
  Mao Li, Jiancheng Lv, Chenwei Tang, Jian Wang, Zhichen Lai, Youcheng Huang:
  Combination of certainty and uncertainty: Using FusionGAN to create abstract paintings. 443-454

Engineering and Applications

• 
  Zhongqiang Li, Zheng Li, Qing Chen, Alexandra Ramos, Jian Zhang, J. Philip Boudreaux, Ramcharan Thiagarajan, Yvette Bren-Mattison, Michael E. Dunham, Andrew J. McWhorter, Xin Li, Ji-Ming Feng, Yanping Li, Shaomian Yao, Jian Xu:
  Detection of pancreatic cancer by convolutional-neural-network-assisted spontaneous Raman spectroscopy with critical feature visualization. 455-464
• 
  Wei He, Meiqing Wu, Siew-Kei Lam:
  ACSL: Adaptive correlation-driven sparsity learning for deep neural network compression. 465-477
• 
  Hiroshi Yamakawa:
  The whole brain architecture approach: Accelerating the development of artificial general intelligence by referring to the brain. 478-495

Learning Systems

• 
  Sérgio F. Chevtchenko, Teresa Bernarda Ludermir:
  Combining STDP and binary networks for reinforcement learning from images and sparse rewards. 496-506

Neuroscience

• 
  Tom Macpherson, Masayuki Matsumoto, Hiroaki Gomi, Jun Morimoto, Eiji Uchibe, Takatoshi Hikida:
  Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control. 507-521

Learning Systems

• 
  Maryam Doborjeh, Zohreh Gholami Doborjeh, Alexander Merkin, Helena Bahrami, Alexander Sumich, Rita Krishnamurthi, Oleg N. Medvedev, Mark Crook-Rumsey, Catherine Morgan, Ian J. Kirk, Perminder S. Sachdev, Henry Brodaty, Kristan Kang, Wei Wen, Valery Feigin, Nikola K. Kasabov:
  Personalised predictive modelling with brain-inspired spiking neural networks of longitudinal MRI neuroimaging data and the case study of dementia. 522-539
• 
  Weizhao Li, Feng Ge, Yi Cai, Da Ren:
  A conversational model for eliciting new chatting topics in open-domain conversation. 540-552

Engineering and Applications

• 
  Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan:
  Disturbance-immune weight sharing for neural architecture search. 553-564

Mathematical and Computational Analysis

• 
  Jiadong Chen, Shiping Wen, Kaibo Shi, Yin Yang:
  Highly parallelized memristive binary neural network. 565-572

Learning Systems

• 
  Karl J. Friston, Rosalyn J. Moran, Yukie Nagai, Tadahiro Taniguchi, Hiroaki Gomi, Josh Tenenbaum:
  World model learning and inference. 573-590
• 
  Meejoung Kim:
  The generalized extreme learning machines: Tuning hyperparameters and limiting approach for the Moore-Penrose generalized inverse. 591-602

Neuroscience

• 
  Tom Macpherson, Anne Churchland, Terry Sejnowski, James DiCarlo, Yukiyasu Kamitani, Hidehiko Takahashi, Takatoshi Hikida:
  Natural and Artificial Intelligence: A brief introduction to the interplay between AI and neuroscience research. 603-613
• 
  Qingbei Guo, Xiaojun Wu, Josef Kittler, Zhiquan Feng:
  Weak sub-network pruning for strong and efficient neural networks. 614-626

Learning Systems

• 
  Lisa Graziani, Marco Gori, Stefano Melacci:
  A language modeling-like approach to sketching. 627-638

Neuroscience

• 
  Megan Boucher-Routhier, Bill Ling Feng Zhang, Jean-Philippe Thivierge:
  Extreme neural machines. 639-647

Learning Systems

• 
  Tom Landman, Nir Nissim:
  Deep-Hook: A trusted deep learning-based framework for unknown malware detection and classification in Linux cloud environments. 648-685

Engineering and Applications

• 
  Youngeun Kim, Priyadarshini Panda:
  Optimizing Deeper Spiking Neural Networks for Dynamic Vision Sensing. 686-698

Learning Systems

• 
  Malte Schilling, Andrew Melnik, Frank W. Ohl, Helge J. Ritter, Barbara Hammer:
  Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning. 699-725
• 
  Mohammadreza Salehi, Atrin Arya, Barbod Pajoum, Mohammad Otoofi, Amirreza Shaeiri, Mohammad Hossein Rohban, Hamid R. Rabiee:
  ARAE: Adversarially robust training of autoencoders improves novelty detection. 726-736
• 
  Catherine E. Davey, David B. Grayden, Anthony N. Burkitt:
  Impact of axonal delay on structure development in a multi-layered network. 737-754
• 
  Hailiang Ye, Yi Wang, Feilong Cao:
  A novel meta-learning framework: Multi-features adaptive aggregation method with information enhancer. 755-765
• 
  Xiaorui Qin, Yanghui Rao, Haoran Xie, Jiahai Wang, Fu Lee Wang:
  TACN: A Topical Adversarial Capsule Network for textual network embedding. 766-777

Mathematical and Computational Analysis

• 
  Tong Mao, Zhongjie Shi, Ding-Xuan Zhou:
  Theory of deep convolutional neural networks III: Approximating radial functions. 778-790