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<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Neural Networks - Volume 151, July 2022<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><a href="https://www.journals.elsevier.com/neural-networks">https://www.journals.elsevier.com/neural-networks</a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Exploration in neo-Hebbian reinforcement learning: Computational approaches to the exploration–exploitation balance with bio-inspired neural networks<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Anthony Triche, Anthony S. Maida, Ashok Kumar<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Cortical circuits for top-down control of perceptual grouping<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Maria Kon, Gregory Francis<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Decoding sensorimotor information from superior parietal lobule of macaque via Convolutional Neural Networks<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Matteo Filippini, Davide Borra, Mauro Ursino, Elisa Magosso, Patrizia Fattori<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Branching Time Active Inference: The theory and its generality<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Theophile Champion, Lancelot Da Costa, Howard Bowman, Marek Grzes<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Neural feedback facilitates rough-to-fine information retrieval<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Xiao Liu, Xiaolong Zou, Zilong Ji, Gengshuo Tian, ... Si Wu<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Improving generalization of deep neural networks by leveraging margin distribution<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Shen-Huan Lyu, Lu Wang, Zhi-Hua Zhou<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Wei Ju, Xiao Luo, Zeyu Ma, Junwei Yang, ... Ming Zhang<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Learning a discriminative SPD manifold neural network for image set classification<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Rui Wang, Xiao-Jun Wu, Ziheng Chen, Tianyang Xu, Josef Kittler<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Golden subject is everyone: A subject transfer neural network for motor imagery-based brain computer interfaces<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Biao Sun, Zexu Wu, Yong Hu, Ting Li<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Dynamic Auxiliary Soft Labels for decoupled learning<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Yan Wang, Yongshun Zhang, Furao Shen, Jian Zhao<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Double structure scaled simplex representation for multi-view subspace clustering<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Liang Yao, Gui-Fu Lu<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Multigraph classification using learnable integration network with application to gender fingerprinting<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Nada Chaari, Mohammed Amine Gharsallaoui, Hatice Camgoz Akdag, Islem Rekik<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Provable training of a ReLU gate with an iterative non-gradient algorithm<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Sayar Karmakar, Anirbit Mukherjee<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Quantum support vector machine based on regularized Newton method<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Rui Zhang, Jian Wang, Nan Jiang, Hong Li, Zichen Wang<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Guaranteed approximation error estimation of neural networks and model modification<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Yejiang Yang, Tao Wang, Jefferson P. Woolard, Weiming Xiang<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Towards understanding theoretical advantages of complex-reaction networks<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Shao-Qun Zhang, Wei Gao, Zhi-Hua Zhou<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Pages 80-93<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Lag H_{infinity} synchronization of coupled neural networks with multiple state couplings and multiple delayed state couplings<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Yuting Cao, Linhao Zhao, Shiping Wen, Tingwen Huang<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Think positive: An interpretable neural network for image recognition<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Gurmail Singh<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Neural network for a class of sparse optimization with -regularization<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Zhe Wei, Qingfa Li, Jiazhen Wei, Wei Bian<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">DGInet: Dynamic graph and interaction-aware convolutional network for vehicle trajectory prediction<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Jiyao An, Wei Liu, Qingqin Liu, Liang Guo, ... Tao Li<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Distributed -winners-take-all via multiple neural networks with inertia<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Xiaoxuan Wang, Shaofu Yang, Zhenyuan Guo, Tingwen Huang<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">TSFD-Net: Tissue specific feature distillation network for nuclei segmentation and classification<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Talha Ilyas, Zubaer Ibna Mannan, Abbas Khan, Sami Azam, ... Friso De Boer<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">MoET: Mixture of Expert Trees and its application to verifiable reinforcement learning<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Marko Vasic, Andrija Petrovic, Kaiyuan Wang, Mladen Nikolic, ... Sarfraz Khurshid<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Brain-inspired multiple-target tracking using Dynamic Neural Fields<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Shiva Kamkar, Hamid Abrishami Moghaddam, Reza Lashgari, Wolfram Erlhagen<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Adaptive modeling of nonnegative environmental systems based on projectional Differential Neural Networks observer<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Isaac Chairez, Olga Andrianova, Tatyana Poznyak, Alexander Poznyak<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Knowledge-based tensor subspace analysis system for kinship verification<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">I. Serraoui, O. Laiadi, A. Ouamane, F. Dornaika, A. Taleb-Ahmed<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Informative pairs mining based adaptive metric learning for adversarial domain adaptation<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Mengzhu Wang, Paul Li, Li Shen, Ye Wang, ... Zhigang Luo<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Hippocampal formation-inspired probabilistic generative model<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Akira Taniguchi, Ayako Fukawa, Hiroshi Yamakawa<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Evaluation of text-to-gesture generation model using convolutional neural network<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D">Eiichi Asakawa, Naoshi Kaneko, Dai Hasegawa, Shinichi Shirakawa<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:#1F497D"><o:p> </o:p></span></p>
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