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Link to original content: https://dblp.org/db/journals/nn/nn142.html

Neural Networks, Volume 142

Volume 142, October 2021

Learning Systems

• 
  Guillaume Salha, Romain Hennequin, Jean-Baptiste Remy, Manuel Moussallam, Michalis Vazirgiannis:
  FastGAE: Scalable graph autoencoders with stochastic subgraph decoding. 1-19
• 
  Chuang Liu, Jia Wu, Weiwei Liu, Wenbin Hu:
  Enhancing Graph Neural Networks by a High-quality Aggregation of Beneficial Information. 20-33

Mathematical and Computational Analysis

• 
  Xiaoyu Zhang, Chuandong Li, Zhilong He:
  Cluster synchronization of delayed coupled neural networks: Delay-dependent distributed impulsive control. 34-43

Neuroscience

• 
  Ana P. Millán, Joaquín J. Torres, Samuel Johnson, Joaquín Marro:
  Growth strategy determines the memory and structural properties of brain networks. 44-56

Mathematical and Computational Analysis

• 
  Pablo Morala, Jenny Alexandra Cifuentes, Rosa E. Lillo, Iñaki Ucar:
  Towards a mathematical framework to inform neural network modelling via polynomial regression. 57-72

Learning Systems

• 
  Chun-Na Li, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng:
  Generalized two-dimensional linear discriminant analysis with regularization. 73-91
• 
  Zhongheng Li, Qianyao Qiang, Bin Zhang, Fei Wang, Feiping Nie:
  Flexible multi-view semi-supervised learning with unified graph. 92-104
• 
  Fengzhen Tang, Haifeng Feng, Peter Tino, Bailu Si, Daxiong Ji:
  Probabilistic learning vector quantization on manifold of symmetric positive definite matrices. 105-118

Mathematical and Computational Analysis

• 
  Emel Arslan:
  Novel criteria for global robust stability of dynamical neural networks with multiple time delays. 119-127

Learning Systems

• 
  Suogui Dang, Yining Wu, Rui Yan, Huajin Tang:
  Why grid cells function as a metric for space. 128-137

Mathematical and Computational Analysis

• 
  Nicolas P. Couellan:
  Probabilistic robustness estimates for feed-forward neural networks. 138-147
• 
  Mahsa Taheri, Fang Xie, Johannes Lederer:
  Statistical guarantees for regularized neural networks. 148-161
• 
  Yuanchu Shen, Song Zhu, Xiaoyang Liu, Shiping Wen:
  Multistability and associative memory of neural networks with Morita-like activation functions. 162-170
• 
  Sebastian Stabinger, David Peer, Antonio Jose Rodríguez-Sánchez:
  Arguments for the unsuitability of convolutional neural networks for non-local tasks. 171-179

Learning Systems

• 
  Yadi Wang, Jun Wang, Hangjun Che:
  Two-timescale neurodynamic approaches to supervised feature selection based on alternative problem formulations. 180-191
• 
  Ozan Çatal, Tim Verbelen, Toon Van de Maele, Bart Dhoedt, Adam Safron:
  Robot navigation as hierarchical active inference. 192-204
• 
  Shiming Song, Chenxiang Ma, Wei Sun, Junhai Xu, Jianwu Dang, Qiang Yu:
  Efficient learning with augmented spikes: A case study with image classification. 205-212
• 
  Yanru Zhou, Limin Pan, Chongyou Bai, Senlin Luo, Zhouting Wu:
  Self-selective attention using correlation between instances for distant supervision relation extraction. 213-220
• 
  Huiling Xu, Wei Xia, Quanxue Gao, Jungong Han, Xinbo Gao:
  Graph embedding clustering: Graph attention auto-encoder with cluster-specificity distribution. 221-230
• 
  Yachun Yang, Zhengwen Tu, Liangwei Wang, Jinde Cao, Lei Shi, Wenhua Qian:
  H∞ synchronization of delayed neural networks via event-triggered dynamic output control. 231-237
• 
  Eric Guizzo, Tillman Weyde, Giacomo Tarroni:
  Anti-transfer learning for task invariance in convolutional neural networks for speech processing. 238-251

Engineering and Applications

• 
  Alberto Racca, Luca Magri:
  Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics. 252-268

Mathematical and Computational Analysis

• 
  Tomoki Tokuda, Okito Yamashita, Junichiro Yoshimoto:
  Multiple clustering for identifying subject clusters and brain sub-networks using functional connectivity matrices without vectorization. 269-287
• 
  Boqiang Cao, Xiaobing Nie:
  Event-triggered adaptive neural networks control for fractional-order nonstrict-feedback nonlinear systems with unmodeled dynamics and input saturation. 288-302

Learning Systems

• 
  Javier Iranzo-Sánchez, Javier Jorge, Pau Baquero-Arnal, Joan Albert Silvestre-Cerdà, Adrià Giménez, Jorge Civera, Albert Sanchís, Alfons Juan:
  Streaming cascade-based speech translation leveraged by a direct segmentation model. 303-315
• 
  Zikun Zhou, Nana Fan, Kai Yang, Hongpeng Wang, Zhenyu He:
  Adaptive ensemble perception tracking. 316-328

Engineering and Applications

• 
  Yanpei Shi, Qiang Huang, Thomas Hain:
  H-VECTORS: Improving the robustness in utterance-level speaker embeddings using a hierarchical attention model. 329-339

Learning Systems

• 
  Deng Jiang, Haopeng Ren, Yi Cai, Jingyun Xu, Yanxia Liu, Ho-fung Leung:
  Candidate region aware nested named entity recognition. 340-350

Engineering and Applications

• 
  Ying Ying Zhang, Hongjuan Wang, Xiaodong Lv, Ping Zhang:
  Capturing the grouping and compactness of high-level semantic feature for saliency detection. 351-362

Neuroscience

• 
  Christian Goelz, Karin Mora, Julian Rudisch, Roman Gaidai, Eva-Maria Reuter, Ben Godde, Claus Reinsberger, Claudia Voelcker-Rehage, Solveig Vieluf:
  Classification of visuomotor tasks based on electroencephalographic data depends on age-related differences in brain activity patterns. 363-374

Learning Systems

• 
  Weiying Xie, Jiaqing Zhang, Jie Lei, Yunsong Li, Xiuping Jia:
  Self-spectral learning with GAN based spectral-spatial target detection for hyperspectral image. 375-387
• 
  Xiaotong Zhang, Han Liu, Xiao-Ming Wu, Xianchao Zhang, Xinyue Liu:
  Spectral embedding network for attributed graph clustering. 388-396

Engineering and Applications

• 
  Jihyeon Roh, Sungjin Park, Bo-Kyeong Kim, Sang-Hoon Oh, Soo-Young Lee:
  Unsupervised multi-sense language models for natural language processing tasks. 397-409
• 
  Tao Sun, Zhendong Dai, Poramate Manoonpong:
  Distributed-force-feedback-based reflex with online learning for adaptive quadruped motor control. 410-427

Learning Systems

• 
  Yongjian Zhong, Bo Du, Chang Xu:
  Learning to reweight examples in multi-label classification. 428-436
• 
  Husheng Guo, Shuai Zhang, Wenjian Wang:
  Selective ensemble-based online adaptive deep neural networks for streaming data with concept drift. 437-456
• 
  Chao Yuan, Liming Yang:
  Capped L2, p-norm metric based robust least squares twin support vector machine for pattern classification. 457-478
• 
  Faisal Khan, Shahid Hussain, Shubhajit Basak, Joseph Lemley, Peter Corcoran:
  An efficient encoder-decoder model for portrait depth estimation from single images trained on pixel-accurate synthetic data. 479-491

Mathematical and Computational Analysis

• 
  Chuan Chen, Ling Mi, Zhongqiang Liu, Baolin Qiu, Hui Zhao, Lijuan Xu:
  Predefined-time synchronization of competitive neural networks. 492-499
• 
  Hongyun Yan, Yuanhua Qiao, Lijuan Duan, Jun Miao:
  Novel methods to global Mittag-Leffler stability of delayed fractional-order quaternion-valued neural networks. 500-508

Learning Systems

• 
  Min Yuan, Yitian Xu, Renxiu Feng, Zongmin Liu:
  Instance elimination strategy for non-convex multiple-instance learning using sparse positive bags. 509-521
• 
  Junzhong Ji, Ye Liang, Minglong Lei:
  Deep attributed graph clustering with self-separation regularization and parameter-free cluster estimation. 522-533

Cognitive Science

• 
  Oliver Maith, Alex Schwarz, Fred H. Hamker:
  Optimal attention tuning in a neuro-computational model of the visual cortex-basal ganglia-prefrontal cortex loop. 534-547

Neuroscience

• 
  Nima Salimi-Nezhad, Mohammad Hasanlou, Mahmood Amiri, Georgios A. Keliris:
  A neuromimetic realization of hippocampal CA1 for theta wave generation. 548-563

Learning Systems

• 
  Ruiping Yang, Xianyu Zha, Kun Liu, Shaohua Xu:
  A CNN model embedded with local feature knowledge and its application to time-varying signal classification. 564-572

Engineering and Applications

• 
  Wei Yu, Tao Chang, Xiaoting Guo, Mengzhu Wang, Xiaodong Wang:
  An interaction-modeling mechanism for context-dependent Text-to-SQL translation based on heterogeneous graph aggregation. 573-582

Neuroscience

• 
  Lucas Rebelo Dal'Bello, Jun Izawa:
  Task-relevant and task-irrelevant variability causally shape error-based motor learning. 583-596
• 
  Longfei Yang, Kaiqi Fu, Jinsong Zhang, Takahiro Shinozaki:
  Non-native acoustic modeling for mispronunciation verification based on language adversarial representation learning. 597-607
• 
  Alexandros Goulas, Fabrizio Damicelli, Claus C. Hilgetag:
  Bio-instantiated recurrent neural networks: Integrating neurobiology-based network topology in artificial networks. 608-618

Mathematical and Computational Analysis

• 
  Dinh Dung, Van Kien Nguyen:
  Deep ReLU neural networks in high-dimensional approximation. 619-635

Neuroscience

• 
  Ankit Roy, Rishikesh Narayanan:
  Spatial information transfer in hippocampal place cells depends on trial-to-trial variability, symmetry of place-field firing, and biophysical heterogeneities. 636-660

Learning Systems

• 
  Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens:
  Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints. 661-679

Engineering and Applications

• 
  Mahboubeh Ahmadipour, Mojtaba Barkhordari Yazdi, Saeid Reza Seydnejad:
  Subspace-based predictive control of Parkinson's disease: A model-based study. 680-689

Mathematical and Computational Analysis

• 
  Xiaobing Nie, Pingping Liu, Jinling Liang, Jinde Cao:
  Exact coexistence and locally asymptotic stability of multiple equilibria for fractional-order delayed Hopfield neural networks with Gaussian activation function. 690-700