Neural Networks, Volume 165

Volume 165, August 2023

Corrigendum

• 
  Qinbing Fu:
  Motion perception based on ON/OFF channels: A survey. 1-18

Learning Systems

• 
  Jit Yan Lim, Kian-Ming Lim, Chin-Poo Lee, Yong Xuan Tan:
  SCL: Self-supervised contrastive learning for few-shot image classification. 19-30

Engineering and Applications

• 
  Bin Deng, Yanrong Fan, Jiang Wang, Shuangming Yang:
  Auditory perception architecture with spiking neural network and implementation on FPGA. 31-42

Learning Systems

• 
  Yirui Zhou, Mengxiao Lu, Xiaowei Liu, Zhengping Che, Zhiyuan Xu, Jian Tang, Yangchun Zhang, Yan Peng, Yaxin Peng:
  Distributional generative adversarial imitation learning with reproducing kernel generalization. 43-59
• 
  Haomin Ni, Jianjun Zhang, Peipei Kang, Xiaozhao Fang, Weijun Sun, Shengli Xie, Na Han:
  Cross-modal hashing with missing labels. 60-76
• 
  Ebrahim Parcham, Mansoor Fateh:
  HybridBranchNet: A novel structure for branch hybrid convolutional neural networks architecture. 77-93

Mathematical and Computational Analysis

• 
  Qiujie Lv, Jun Zhou, Ziduo Yang, Haohuai He, Calvin Yu-Chian Chen:
  3D graph neural network with few-shot learning for predicting drug-drug interactions in scaffold-based cold start scenario. 94-105

Engineering and Applications

• 
  Xuelong Sun, Qinbing Fu, Jigen Peng, Shigang Yue:
  An insect-inspired model facilitating autonomous navigation by incorporating goal approaching and collision avoidance. 106-118

Learning Systems

• 
  Sheng Kuang, Henry C. Woodruff, Renee Granzier, Thiemo J. A. van Nijnatten, Marc B. I. Lobbes, Marjolein L. Smidt, Philippe Lambin, Siamak Mehrkanoon:
  MSCDA: Multi-level semantic-guided contrast improves unsupervised domain adaptation for breast MRI segmentation in small datasets. 119-134
• 
  Wenju Yang, Jiankang Liu, Peng Cao, Rongxin Zhu, Yang Wang, Jian K. Liu, Fei Wang, Xizhe Zhang:
  Attention guided learnable time-domain filterbanks for speech depression detection. 135-149
• 
  Chunmei Zhang, Ran Li, Quanxin Zhu, Qin Xu:
  Topology identification for stochastic multi-layer networks via graph-theoretic method. 150-163
• 
  Hui Zhang, Jian Cheng, Jun Zhang, Hongyi Liu, Zhihui Wei:
  A regularization perspective based theoretical analysis for adversarial robustness of deep spiking neural networks. 164-174

Mathematical and Computational Analysis

• 
  Yuan Le, Fan Zhou, Yang Bai:
  Reinforced mixture learning. 175-184
• 
  Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Nan Liu:
  Epicasting: An Ensemble Wavelet Neural Network for forecasting epidemics. 185-212

Engineering and Applications

• 
  Linqi Wang, Jianwei Xia, Ju H. Park, Guoliang Chen, Xiangpeng Xie:
  Reachable set estimation and stochastic sampled-data exponential synchronization of Markovian jump neural networks with time-varying delays. 213-227

Mathematical and Computational Analysis

• 
  Jun-Yi Li, Yang-Cheng Huang, Hong-Xia Rao, Yong Xu, Renquan Lu:
  Finite-time cluster synchronization for complex dynamical networks under FDI attack: A periodic control approach. 228-237

Learning Systems

• 
  Mohsen Heidari, Mohammad Hossein Moattar, Hamidreza Ghaffari:
  Forward propagation dropout in deep neural networks using Jensen-Shannon and random forest feature importance ranking. 238-247
• 
  Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz:
  VLAD: Task-agnostic VAE-based lifelong anomaly detection. 248-273

Mathematical and Computational Analysis

• 
  Yanlin Zhang, Liqiao Yang, Kit Ian Kou, Yang Liu:
  Fixed-time synchronization for quaternion-valued memristor-based neural networks with mixed delays. 274-289
• 
  Ruoxia Li, Jinde Cao, Ning Li:
  Stabilization of reaction-diffusion fractional-order memristive neural networks. 290-297

Learning Systems

• 
  Jing Dong, Kai Wu, Chang Liu, Xue Mei, Wenwu Wang:
  Discriminative analysis dictionary learning with adaptively ordinal locality preserving. 298-309

Corrigendum

• 
  Tariq Mahmood Khan, Syed Saud Naqvi, Antonio Robles-Kelly, Imran Razzak:
  Retinal vessel segmentation via a Multi-resolution Contextual Network and adversarial learning. 310-320

Learning Systems

• 
  Sayawu Yakubu Diaba, Theophilus Anafo, Lord Anertei Tetteh, Michael Alewo Oyibo, Andrew Adewale Alola, Miadreza Shafie-khah, Mohammed S. Elmusrati:
  SCADA securing system using deep learning to prevent cyber infiltration. 321-332
• 
  Chuan Tang, Kun Sun, Chang Tang, Xiao Zheng, Xinwang Liu, Jun-Jie Huang, Wei Zhang:
  Multi-view subspace clustering via adaptive graph learning and late fusion alignment. 333-343

Mathematical and Computational Analysis

• 
  Edoardo Manino, Iury Bessa, Lucas C. Cordeiro:
  Towards global neural network abstractions with locally-exact reconstruction. 344-357

Learning Systems

• 
  Zhengze Li, Xiaoyuan Yang, Kangqing Shen, Fazhen Jiang, Jin Jiang, Huwei Ren, Yixiao Li:
  Adversarial feature hybrid framework for steganography with shifted window local loss. 358-369
• 
  Shuang Liu, Mete Ozay:
  Task guided representation learning using compositional models for zero-shot domain adaptation. 370-380
• 
  Bo Gong, Jiang Wang, Meili Lu, Gong Meng, Kai Sun, Siyuan Chang, Zhen Zhang, Xile Wei:
  BrainS: Customized multi-core embedded multiple scale neuromorphic system. 381-392
• 
  Takuya Konishi, Yoshinobu Kawahara:
  Stable invariant models via Koopman spectra. 393-405
• 
  Ming Yang, Jiang Wang, Shanshan Li, Kuanchuan Wang, Wei Yue, Chen Liu:
  Adaptive closed-loop paradigm of electrophysiology for neuron models. 406-419
• 
  Will Serrano:
  The Deep Learning Generative Adversarial Random Neural Network in data marketplaces: The digital creative. 420-434

Engineering and Applications

• 
  Wenqi Wu, Yunong Zhang:
  Novel adaptive zeroing neural dynamics schemes for temporally-varying linear equation handling applied to arm path following and target motion positioning. 435-450

Neuroscience

• 
  Dongxue Zhang, Huiying Li, Jingmeng Xie:
  MI-CAT: A transformer-based domain adaptation network for motor imagery classification. 451-462

Learning Systems

• 
  Xinxin Shan, Tai Ma, Ying Wen:
  Prediction of common labels for universal domain adaptation. 463-471

Mathematical and Computational Analysis

• 
  Zhen Zhang, Shaofu Yang, Wenying Xu:
  Decentralized ADMM with compressed and event-triggered communication. 472-482
• 
  Huimin Guan, Yang Liu, Kit Ian Kou, Jinde Cao, Leszek Rutkowski:
  Collaborative neurodynamic optimization for solving nonlinear equations. 483-490

Corrigendum

• 
  Yanbu Guo, Dongming Zhou, Xiaoli Ruan, Jinde Cao:
  Variational gated autoencoder-based feature extraction model for inferring disease-miRNA associations based on multiview features. 491-505

Learning Systems

• 
  Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas:
  Modeling limit order trading with a continuous action policy for deep reinforcement learning. 506-515
• 
  Haoran Gao, Hua Zhang, Xin Zhang, Wenmin Li, Jiahui Wang, Fei Gao:
  Enhanced covertness class discriminative universal adversarial perturbations. 516-526

Mathematical and Computational Analysis

• 
  Zicong Xia, Yang Liu, Jiasen Wang, Jun Wang:
  Two-timescale recurrent neural networks for distributed minimax optimization. 527-539
• 
  Zekun Wang, Guangming Zhuang, Xiangpeng Xie, Jianwei Xia:
  H∞ master-slave synchronization for delayed impulsive implicit hybrid neural networks based on memory-state feedback control. 540-552

Learning Systems

• 
  Rayyan Azam Khan, Minghan Fu, Brent Burbridge, Yigang Luo, Fang-Xiang Wu:
  A multi-modal deep neural network for multi-class liver cancer diagnosis. 553-561
• 
  Jihye Moon, Hugo F. Posada-Quintero, Ki H. Chon:
  Genetic data visualization using literature text-based neural networks: Examples associated with myocardial infarction. 562-595
• 
  Ghazaleh Niknam, Soheila Molaei, Hadi Zare, Shirui Pan, Mahdi Jalili, Tingting Zhu, David A. Clifton:
  DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks. 596-610

Engineering and Applications

• 
  Ramalingam Sakthivel, Oh-Min Kwon, Seong-Gon Choi, Rathinasamy Sakthivel:
  Observer-based state estimation for discrete-time semi-Markovian jump neural networks with round-robin protocol against cyber attacks. 611-624

Mathematical and Computational Analysis

• 
  Xiyao Liu, Zhong Ji, Yanwei Pang, Zhi Han:
  Dual Distillation Discriminator Networks for Domain Adaptive Few-Shot Learning. 625-633

Engineering and Applications

• 
  Martin Waltz, Ostap Okhrin:
  Spatial-temporal recurrent reinforcement learning for autonomous ships. 634-653

Mathematical and Computational Analysis

• 
  Vera Kurková, Marcello Sanguineti:
  Approximation of classifiers by deep perceptron networks. 654-661

Engineering and Applications

• 
  Enrico Picco, Piotr Antonik, Serge Massar:
  High speed human action recognition using a photonic reservoir computer. 662-675

Corrigendum

• 
  Niceto R. Luque, Francisco Naveros, Ignacio Abadia, Eduardo Ros, Angelo Arleo:
  Corrigendum to "Electrical coupling regulated by GABAergic nucleo-olivary afferent fibres facilitates cerebellar sensory-motor adaptation" [Neural Netw. 155 (2022) 422-438]. 676

Learning Systems

• 
  Hanxiao Li, Biao Luo, Wei Song, Chunhua Yang:
  Predictive hierarchical reinforcement learning for path-efficient mapless navigation with moving target. 677-688
• 
  Ye Lin Tun, Minh N. H. Nguyen, Chu Myaet Thwal, Jinwoo Choi, Choong Seon Hong:
  Contrastive encoder pre-training-based clustered federated learning for heterogeneous data. 689-704

Engineering and Applications

• 
  Huayue Cai, Long Lan, Jing Zhang, Xiang Zhang, Zhigang Luo:
  SiamDF: Tracking training data-free siamese tracker. 705-720

Mathematical and Computational Analysis

• 
  Marcello Longo, Joost A. A. Opschoor, Nico Disch, Christoph Schwab, Jakob Zech:
  De Rham compatible Deep Neural Network FEM. 721-739
• 
  Hao Pu, Fengjun Li, Qingyun Wang, Pengzhen Li:
  Preassigned-time projective synchronization of delayed fully quaternion-valued discontinuous neural networks with parameter uncertainties. 740-754
• 
  Xin Wang, Jinde Cao, Xianghui Zhou, Ying Liu, Yaoxi Yan, Jiangtao Wang:
  A novel framework of prescribed time/fixed time/finite time stochastic synchronization control of neural networks and its application in image encryption. 755-773

Engineering and Applications

• 
  Yuandong Ma, Boyuan Wang, Hezheng Lin, Chun Liu, Mengjie Hu, Qing Song:
  A continuation method for image registration based on dynamic adaptive kernel. 774-785

Cognitive Science

• 
  Wenhao Lu, Zhengyuan Zhang, Feng Qin, Wenwen Zhang, Yuncheng Lu, Yue Liu, Yuanjin Zheng:
  Analysis on the inherent noise tolerance of feedforward network and one noise-resilient structure. 786-798

Learning Systems

• 
  Yiting Dong, Dongcheng Zhao, Yang Li, Yi Zeng:
  An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections. 799-808
• 
  Ponduri Vasanthi, Laavanya Mohan:
  A reliable anchor regenerative-based transformer model for x-small and dense objects recognition. 809-829

Mathematical and Computational Analysis

• 
  Yuqing Liang, Jinlan Liu, Dongpo Xu:
  Stochastic momentum methods for non-convex learning without bounded assumptions. 830-845

Engineering and Applications

• 
  Baoping Jiang, Hamid Reza Karimi, Xin Zhang, Zhengtian Wu:
  Adaptive neural-network-based sliding mode control of switching distributed delay systems with Markov jump parameters. 846-859
• 
  Hankyul Baek, Won Joon Yun, Soohyun Park, Joongheon Kim:
  Stereoscopic scalable quantum convolutional neural networks. 860-867

Learning Systems

• 
  Fanling Huang, Yangdong Deng:
  TCGAN: Convolutional Generative Adversarial Network for time series classification and clustering. 868-883

Mathematical and Computational Analysis

• 
  Rongpei Zhou, Yuqian Guo, Yuhao Wang, Zejun Sun, Xinzhi Liu:
  Safe control of logical control networks with random impulses. 884-895

Engineering and Applications

• 
  Zheng Chen, Yiwen Sun, Xiaojun Bi, Jianyu Yue:
  Lightweight image de-snowing: A better trade-off between network capacity and performance. 896-908

Learning Systems

• 
  Ruixiang Wang, Yuhu Wang, Chunxia Zhang, Shiming Xiang, Chunhong Pan:
  Graph convolutional network with tree-guided anisotropic message passing. 909-924

Engineering and Applications

• 
  Huanhuan Li, Wenbo Yu, He Huang:
  Strengthening transferability of adversarial examples by adaptive inertia and amplitude spectrum dropout. 925-937

Learning Systems

• 
  Jay Paul Morgan, Adeline Paiement, Christian Klinke:
  Domain-informed graph neural networks: A quantum chemistry case study. 938-952

Engineering and Applications

• 
  Li Shen, Yuning Wei, Yangzhu Wang:
  GBT: Two-stage transformer framework for non-stationary time series forecasting. 953-970

Mathematical and Computational Analysis

• 
  Xingxing Ju, Xinsong Yang, Gang Feng, Hangjun Che:
  Neurodynamic optimization approaches with finite/fixed-time convergence for absolute value equations. 971-981

Neural Networks Letters

• 
  Zhenpeng Feng, Hongbing Ji, Milos Dakovic, Mingzhe Zhu, Ljubisa Stankovic:
  Analytical interpretation of the gap of CNN's cognition between SAR and optical target recognition. 982-986

Reviews

• 
  Zongshen Mu, Siliang Tang, Yueting Zhuang, Dianhai Yu:
  Attribute-driven streaming edge partitioning with reconciliations for distributed graph neural network training. 987-998

Corrigendum

• 
  Pratik Mazumder, Pravendra Singh:
  Mitigate forgetting in few-shot class-incremental learning using different image views. 999-1009

Learning Systems

• 
  Xiaxia He, Boyue Wang, Ruikun Li, Junbin Gao, Yongli Hu, Guangyu Huo, Baocai Yin:
  Graph structure learning layer and its graph convolution clustering application. 1010-1020
• 
  Jingyi Liu, Weijun Li, Lina Yu, Min Wu, Linjun Sun, Wenqiang Li, Yanjie Li:
  SNR: Symbolic network-based rectifiable learning framework for symbolic regression. 1021-1034

Neuroscience

• 
  Shu Zhang, Enze Shi, Lin Wu, Ruoyang Wang, Sigang Yu, Zhengliang Liu, Shaochen Xu, Tianming Liu, Shijie Zhao:
  Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network. 1035-1049

Engineering and Applications

• 
  Raghav Singhal, Vivek Saraswat, Shreyas Deshmukh, Sreenivas Subramoney, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly:
  Enhanced regularization for on-chip training using analog and temporary memory weights. 1050-1057