Connectionists: NEURAL NETWORKS, July 2022

[Wang, Deliang]

Neural Networks - Volume 151, July 2022
https://www.journals.elsevier.com/neural-networks


Exploration in neo-Hebbian reinforcement learning: Computational approaches to the exploration-exploitation balance with bio-inspired neural networks
Anthony Triche, Anthony S. Maida, Ashok Kumar

Cortical circuits for top-down control of perceptual grouping
Maria Kon, Gregory Francis

Decoding sensorimotor information from superior parietal lobule of macaque via Convolutional Neural Networks
Matteo Filippini, Davide Borra, Mauro Ursino, Elisa Magosso, Patrizia Fattori

Branching Time Active Inference: The theory and its generality
Theophile Champion, Lancelot Da Costa, Howard Bowman, Marek Grzes

Neural feedback facilitates rough-to-fine information retrieval
Xiao Liu, Xiaolong Zou, Zilong Ji, Gengshuo Tian, ... Si Wu

Improving generalization of deep neural networks by leveraging margin distribution
Shen-Huan Lyu, Lu Wang, Zhi-Hua Zhou

GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification
Wei Ju, Xiao Luo, Zeyu Ma, Junwei Yang, ... Ming Zhang

Learning a discriminative SPD manifold neural network for image set classification
Rui Wang, Xiao-Jun Wu, Ziheng Chen, Tianyang Xu, Josef Kittler

Golden subject is everyone: A subject transfer neural network for motor imagery-based brain computer interfaces
Biao Sun, Zexu Wu, Yong Hu, Ting Li

Dynamic Auxiliary Soft Labels for decoupled learning
Yan Wang, Yongshun Zhang, Furao Shen, Jian Zhao

Double structure scaled simplex representation for multi-view subspace clustering
Liang Yao, Gui-Fu Lu

Multigraph classification using learnable integration network with application to gender fingerprinting
Nada Chaari, Mohammed Amine Gharsallaoui, Hatice Camgoz Akdag, Islem Rekik

Provable training of a ReLU gate with an iterative non-gradient algorithm
Sayar Karmakar, Anirbit Mukherjee

Quantum support vector machine based on regularized Newton method
Rui Zhang, Jian Wang, Nan Jiang, Hong Li, Zichen Wang

Guaranteed approximation error estimation of neural networks and model modification
Yejiang Yang, Tao Wang, Jefferson P. Woolard, Weiming Xiang

Towards understanding theoretical advantages of complex-reaction networks
Shao-Qun Zhang, Wei Gao, Zhi-Hua Zhou
Pages 80-93

Lag H_{infinity} synchronization of coupled neural networks with multiple state couplings and multiple delayed state couplings
Yuting Cao, Linhao Zhao, Shiping Wen, Tingwen Huang

Think positive: An interpretable neural network for image recognition
Gurmail Singh

Neural network for a class of sparse optimization with -regularization
Zhe Wei, Qingfa Li, Jiazhen Wei, Wei Bian

DGInet: Dynamic graph and interaction-aware convolutional network for vehicle trajectory prediction
Jiyao An, Wei Liu, Qingqin Liu, Liang Guo, ... Tao Li

Distributed -winners-take-all via multiple neural networks with inertia
Xiaoxuan Wang, Shaofu Yang, Zhenyuan Guo, Tingwen Huang

TSFD-Net: Tissue specific feature distillation network for nuclei segmentation and classification
Talha Ilyas, Zubaer Ibna Mannan, Abbas Khan, Sami Azam, ... Friso De Boer

MoET: Mixture of Expert Trees and its application to verifiable reinforcement learning
Marko Vasic, Andrija Petrovic, Kaiyuan Wang, Mladen Nikolic, ... Sarfraz Khurshid

Brain-inspired multiple-target tracking using Dynamic Neural Fields
Shiva Kamkar, Hamid Abrishami Moghaddam, Reza Lashgari, Wolfram Erlhagen

Adaptive modeling of nonnegative environmental systems based on projectional Differential Neural Networks observer
Isaac Chairez, Olga Andrianova, Tatyana Poznyak, Alexander Poznyak

Knowledge-based tensor subspace analysis system for kinship verification
I. Serraoui, O. Laiadi, A. Ouamane, F. Dornaika, A. Taleb-Ahmed

Informative pairs mining based adaptive metric learning for adversarial domain adaptation
Mengzhu Wang, Paul Li, Li Shen, Ye Wang, ... Zhigang Luo

Hippocampal formation-inspired probabilistic generative model
Akira Taniguchi, Ayako Fukawa, Hiroshi Yamakawa

Evaluation of text-to-gesture generation model using convolutional neural network
Eiichi Asakawa, Naoshi Kaneko, Dai Hasegawa, Shinichi Shirakawa

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