Connectionists: NEURAL NETWORKS, Oct. 2021

[Wang, Deliang]

Neural Networks - Volume 142,  October 2021
https://www.journals.elsevier.com/neural-networks


H_infinity synchronization of delayed neural networks via event-triggered dynamic output control
Yachun Yang, Zhengwen Tu, Liangwei Wang, Jinde Cao, ... Wenhua Qian

Non-native acoustic modeling for mispronunciation verification based on language adversarial representation learning
Longfei Yang, Kaiqi Fu, Jinsong Zhang, Takahiro Shinozaki

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

Growth strategy determines the memory and structural properties of brain networks
Ana P. Millan, Joaquin J. Torres, Samuel Johnson, J. Marro

Classification of visuomotor tasks based on electroencephalographic data depends on age-related differences in brain activity patterns
C. Goelz, K. Mora, J. Rudisch, R. Gaidai, ... S. Vieluf

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

Task-relevant and task-irrelevant variability causally shape error-based motor learning
Lucas Rebelo Dal'Bello, Jun Izawa

Bio-instantiated recurrent neural networks: Integrating neurobiology-based network topology in artificial networks
Alexandros Goulas, Fabrizio Damicelli, Claus C. Hilgetag

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

FastGAE: Scalable graph autoencoders with stochastic subgraph decoding
Guillaume Salha, Romain Hennequin, Jean-Baptiste Remy, Manuel Moussallam, Michalis Vazirgiannis

Enhancing Graph Neural Networks by a High-quality Aggregation of Beneficial Information
Chuang Liu, Jia Wu, Weiwei Liu, Wenbin Hu

Generalized two-dimensional linear discriminant analysis with regularization
Chun-Na Li, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng

Flexible multi-view semi-supervised learning with unified graph
Zhongheng Li, Qianyao Qiang, Bin Zhang, Fei Wang, Feiping Nie

Probabilistic learning vector quantization on manifold of symmetric positive definite matrices
Fengzhen Tang, Haifeng Feng, Peter Tino, Bailu Si, Daxiong Ji

Why grid cells function as a metric for space
Suogui Dang, Yining Wu, Rui Yan, Huajin Tang

Two-timescale neurodynamic approaches to supervised feature selection based on alternative problem formulations
Yadi Wang, Jun Wang, Hangjun Che

Robot navigation as hierarchical active inference
Ozan Çatal, Tim Verbelen, Toon Van de Maele, Bart Dhoedt, Adam Safron

Efficient learning with augmented spikes: A case study with image classification
Shiming Song, Chenxiang Ma, Wei Sun, Junhai Xu, ... Qiang Yu

Self-selective attention using correlation between instances for distant supervision relation extraction
Yanru Zhou, Limin Pan, Chongyou Bai, Senlin Luo, Zhouting Wu

Graph embedding clustering: Graph attention auto-encoder with cluster-specificity distribution
Huiling Xu, Wei Xia, Quanxue Gao, Jungong Han, Xinbo Gao

Anti-transfer learning for task invariance in convolutional neural networks for speech processing
Eric Guizzo, Tillman Weyde, Giacomo Tarroni

Streaming cascade-based speech translation leveraged by a direct segmentation model
Javier Iranzo-Sanchez, Javier Jorge, Pau Baquero-Arnal, Joan Albert Silvestre-Cerda, ... Alfons Juan

Adaptive ensemble perception tracking
Zikun Zhou, Nana Fan, Kai Yang, Hongpeng Wang, Zhenyu He

Candidate region aware nested named entity recognition
Deng Jiang, Haopeng Ren, Yi Cai, Jingyun Xu, ... Ho-fung Leung

Self-spectral learning with GAN based spectral–spatial target detection for hyperspectral image
Weiying Xie, Jiaqing Zhang, Jie Lei, Yunsong Li, Xiuping Jia

Spectral embedding network for attributed graph clustering
Xiaotong Zhang, Han Liu, Xiao-Ming Wu, Xianchao Zhang, Xinyue Liu

Learning to reweight examples in multi-label classification
Yongjian Zhong, Bo Du, Chang Xu

Selective ensemble-based online adaptive deep neural networks for streaming data with concept drift
Husheng Guo, Shuai Zhang, Wenjian Wang

Capped L2,p-norm metric based robust least squares twin support vector machine for pattern classification
Chao Yuan, Liming Yang

An efficient encoder–decoder model for portrait depth estimation from single images trained on pixel-accurate synthetic data
Faisal Khan, Shahid Hussain, Shubhajit Basak, Joseph Lemley, Peter Corcoran

Instance elimination strategy for non-convex multiple-instance learning using sparse positive bags
Min Yuan, Yitian Xu, Renxiu Feng, Zongmin Liu

Deep attributed graph clustering with self-separation regularization and parameter-free cluster estimation
Junzhong Ji, Ye Liang, Minglong Lei

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

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

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

Towards a mathematical framework to inform neural network modelling via polynomial regression
Pablo Morala, Jenny Alexandra Cifuentes, Rosa E. Lillo, Inaki Ucar

Novel criteria for global robust stability of dynamical neural networks with multiple time delays
Emel Arslan

Probabilistic robustness estimates for feed-forward neural networks
Nicolas Couellan

Statistical guarantees for regularized neural networks
Mahsa Taheri, Fang Xie, Johannes Lederer

Multistability and associative memory of neural networks with Morita-like activation functions
Yuanchu Shen, Song Zhu, Xiaoyang Liu, Shiping Wen

Arguments for the unsuitability of convolutional neural networks for non-local tasks
Sebastian Stabinger, David Peer, Antonio Rodriguez-Sanchez

Multiple clustering for identifying subject clusters and brain sub-networks using functional connectivity matrices without vectorization
Tomoki Tokuda, Okito Yamashita, Junichiro Yoshimoto

Event-triggered adaptive neural networks control for fractional-order nonstrict-feedback nonlinear systems with unmodeled dynamics and input saturation
Boqiang Cao, Xiaobing Nie

Predefined-time synchronization of competitive neural networks
Chuan Chen, Ling Mi, Zhongqiang Liu, Baolin Qiu, ... Lijuan Xu

Novel methods to global Mittag-Leffler stability of delayed fractional-order quaternion-valued neural networks
Hongyun Yan, Yuanhua Qiao, Lijuan Duan, Jun Miao

Deep ReLU neural networks in high-dimensional approximation
Dinh Dũng, Van Kien Nguyen

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

Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics
Alberto Racca, Luca Magri

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

Capturing the grouping and compactness of high-level semantic feature for saliency detection
Ying Ying Zhang, HongJuan Wang, XiaoDong Lv, Ping Zhang

Unsupervised multi-sense language models for natural language processing tasks
Jihyeon Roh, Sungjin Park, Bo-Kyeong Kim, Sang-Hoon Oh, Soo-Young Lee

Distributed-force-feedback-based reflex with online learning for adaptive quadruped motor control
Tao Sun, Zhendong Dai, Poramate Manoonpong

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

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

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