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Link to original content: https://dblp.org/db/journals/nn/nn126.html

Neural Networks, Volume 126

Volume 126, June 2020

Mathematical and Computational Analysis

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  Yuanhua Qiao, Hongyun Yan, Lijuan Duan, Jun Miao:
  Finite-time synchronization of fractional-order gene regulatory networks with time delay. 1-10
• 
  Jichen Shi, Zhigang Zeng:
  Global exponential stabilization and lag synchronization control of inertial neural networks with time delays. 11-20

Neuroscience

• 
  Taiping Zeng, Fengzhen Tang, Daxiong Ji, Bailu Si:
  NeuroBayesSLAM: Neurobiologically inspired Bayesian integration of multisensory information for robot navigation. 21-35

Learning Systems

• 
  Divesh Pandey, C. Ravindranath Chowdary:
  Modeling coherence by ordering paragraphs using pointer networks. 36-41

Neuroscience

• 
  Yajing Zheng, Shanshan Jia, Zhaofei Yu, Tiejun Huang, Jian K. Liu, Yonghong Tian:
  Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation. 42-51

Engineering and Applications

• 
  Fan Zhou, Yuhua Mo, Goce Trajcevski, Kunpeng Zhang, Jin Wu, Ting Zhong:
  Recommendation via Collaborative Autoregressive Flows. 52-64

Learning Systems

• 
  Naoki Hayashi:
  Variational approximation error in non-negative matrix factorization. 65-75

Engineering and Applications

• 
  Maria G. Baldeon Calisto, Susana K. Lai-Yuen:
  AdaEn-Net: An ensemble of adaptive 2D-3D Fully Convolutional Networks for medical image segmentation. 76-94

Neuroscience

• 
  Minryung R. Song, Sang Wan Lee:
  Dynamic resource allocation during reinforcement learning accounts for ramping and phasic dopamine activity. 95-107
• 
  Ali Calim, Joaquín J. Torres, Mahmut Ozer, Muhammet Uzuntarla:
  Chimera states in hybrid coupled neuron populations. 108-117

Learning Systems

• 
  Jinhyeok Jang, Hyunjoong Cho, Jaehong Kim, Jaeyeon Lee, Seungjoon Yang:
  Deep neural networks with a set of node-wise varying activation functions. 118-131
• 
  Fei Shang, Huaxiang Zhang, Jiande Sun, Liqiang Nie, Li Liu:
  Cross-modal dual subspace learning with adversarial network. 132-142
• 
  Keke Huang, Shuo Li, Penglin Dai, Zhen Wang, Zhaofei Yu:
  SDARE: A stacked denoising autoencoder method for game dynamics network structure reconstruction. 143-152

Engineering and Applications

• 
  Yicheng Wu, Yong Xia, Yang Song, Yanning Zhang, Weidong Cai:
  NFN＋: A novel network followed network for retinal vessel segmentation. 153-162

Mathematical and Computational Analysis

• 
  Bo Sun, Shengbo Wang, Yuting Cao, Zhenyuan Guo, Tingwen Huang, Shiping Wen:
  Exponential synchronization of memristive neural networks with time-varying delays via quantized sliding-mode control. 163-169

Engineering and Applications

• 
  Bruno P. Roquette, Hitoshi Nagano, Ernesto C. Marujo, Alexandre C. Maiorano:
  Prediction of admission in pediatric emergency department with deep neural networks and triage textual data. 170-177

Mathematical and Computational Analysis

• 
  Cristian Daniel Alecsa, Titus Pinta, Imre Boros:
  New optimization algorithms for neural network training using operator splitting techniques. 178-190

Engineering and Applications

• 
  Pantelis-Rafail Vlachas, Jaideep Pathak, Brian R. Hunt, Themistoklis P. Sapsis, Michelle Girvan, Edward Ott, Petros Koumoutsakos:
  Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics. 191-217

Learning Systems

• 
  Hossein Shahamat, Mohammad Saniee Abadeh:
  Brain MRI analysis using a deep learning based evolutionary approach. 218-234
• 
  Jordan Ott, Erik Linstead, Nicholas LaHaye, Pierre Baldi:
  Learning in the machine: To share or not to share? 235-249
• 
  Yong Guo, Jian Chen, Qing Du, Anton van den Hengel, Qinfeng Shi, Mingkui Tan:
  Multi-way backpropagation for training compact deep neural networks. 250-261

Cognitive Science

• 
  Ben Lonnqvist, Alasdair D. F. Clarke, Ramakrishna Chakravarthi:
  Crowding in humans is unlike that in convolutional neural networks. 262-274

Learning Systems

• 
  Alessandro Betti, Marco Gori, Stefano Melacci:
  Learning visual features under motion invariance. 275-299

Mathematical and Computational Analysis

• 
  Pengyu Liu, Avraham A. Melkman, Tatsuya Akutsu:
  Extracting boolean and probabilistic rules from trained neural networks. 300-311
• 
  Jérémie Cabessa, Aubin Tchaptchet:
  Automata complete computation with Hodgkin-Huxley neural networks composed of synfire rings. 312-334
• 
  Quanxue Gao, Zhizhen Wan, Ying Liang, Qianqian Wang, Yang Liu, Ling Shao:
  Multi-view projected clustering with graph learning. 335-346

Learning Systems

• 
  Di Wang, Ping Wang, Yue Yuan, Pingping Wang, Jun-Zhi Shi:
  A fast conformal predictive system with regularized extreme learning machine. 347-361
• 
  Akifumi Okuno, Hidetoshi Shimodaira:
  Hyperlink regression via Bregman divergence. 362-383
• 
  Mohammad Azam Khan, Soonwook Kwon, Jaegul Choo, Seok Min Hong, Sung Hun Kang, Il-Ho Park, Sung Kyun Kim, Seok Jin Hong:
  Automatic detection of tympanic membrane and middle ear infection from oto-endoscopic images via convolutional neural networks. 384-394