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ORCIDNeural Networks, Volume 121
Volume 121, January 2020
- Yang Liu, Xinbo Gao
, Quanxue Gao, Jungong Han, Ling Shao:
Label-activating framework for zero-shot learning. 1-9 - Hailing Dong, Jiamu Zhou, Mingqing Xiao:
Centralized/decentralized event-triggered pinning synchronization of stochastic coupled networks with noise and incomplete transitional rate. 10-20
- Zhenshan Bing, Claus Meschede, Guang Chen, Alois C. Knoll, Kai Huang:
Indirect and direct training of spiking neural networks for end-to-end control of a lane-keeping vehicle. 21-36 - Tianyi Li, Angelo Arleo, Denis Sheynikhovich:
Modeling place cells and grid cells in multi-compartment environments: Entorhinal-hippocampal loop as a multisensory integration circuit. 37-51 - Yuriy V. Pershin, Massimiliano Di Ventra:
On the validity of memristor modeling in the neural network literature. 52-56
- Giansalvo Cirrincione, Gabriele Ciravegna, Pietro Barbiero, Vincenzo Randazzo, Eros Pasero:
The GH-EXIN neural network for hierarchical clustering. 57-73
- Nabil Ibtehaz, M. Sohel Rahman:
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation. 74-87 - Jesus L. Lobo, Javier Del Ser, Albert Bifet, Nikola K. Kasabov:
Spiking Neural Networks and online learning: An overview and perspectives. 88-100 - Viktor Varkarakis, Shabab Bazrafkan, Peter Corcoran:
Deep neural network and data augmentation methodology for off-axis iris segmentation in wearable headsets. 101-121
- Omid Rezai, Lucas Stoffl, Bryan P. Tripp:
How are response properties in the middle temporal area related to inference on visual motion patterns? 122-131
- Luka Gligic, Andrey Kormilitzin, Paul Goldberg, Alejo J. Nevado-Holgado:
Named entity recognition in electronic health records using transfer learning bootstrapped Neural Networks. 132-139 - Shiqin Wang, Yuting Cao, Tingwen Huang, Yiran Chen, Peng Li, Shiping Wen:
Sliding mode control of neural networks via continuous or periodic sampling event-triggering algorithm. 140-147 - Deboleena Roy, Priyadarshini Panda, Kaushik Roy:
Tree-CNN: A hierarchical Deep Convolutional Neural Network for incremental learning. 148-160 - Yi Yang, Baile Xu, Shaofeng Shen, Furao Shen, Jian Zhao:
Operation-aware Neural Networks for user response prediction. 161-168 - Kaushalya Kumarasinghe, Nikola K. Kasabov, Denise Taylor:
Deep learning and deep knowledge representation in Spiking Neural Networks for Brain-Computer Interfaces. 169-185
- Behzad Boloukian, Faramarz Safi-Esfahani:
Recognition of words from brain-generated signals of speech-impaired people: Application of autoencoders as a neural Turing machine controller in deep neural networks. 186-207
- Leonardo Enzo Brito da Silva, Islam Elnabarawy, Donald C. Wunsch II:
Distributed dual vigilance fuzzy adaptive resonance theory learns online, retrieves arbitrarily-shaped clusters, and mitigates order dependence. 208-228 - Hrushikesh N. Mhaskar, Tomaso A. Poggio:
An analysis of training and generalization errors in shallow and deep networks. 229-241
- Alexandre Pitti, Mathias Quoy, Catherine Lavandier, Sofiane Boucenna:
Gated spiking neural network using Iterative Free-Energy Optimization and rank-order coding for structure learning in memory sequences (INFERNO GATE). 242-258 - Shanrong Lin, Yanli Huang, Shun-Yan Ren:
Event-triggered passivity and synchronization of delayed multiple-weighted coupled reaction-diffusion neural networks with non-identical nodes. 259-275
- Yanmeng Li, Huaijiang Sun, Wenzhu Yan, Xiaoqian Zhang:
Multi-output parameter-insensitive kernel twin SVR model. 276-293
- Lei Deng, Yujie Wu, Xing Hu, Ling Liang, Yufei Ding, Guoqi Li, Guangshe Zhao, Peng Li, Yuan Xie:
Rethinking the performance comparison between SNNS and ANNS. 294-307 - Lecheng Zhou, Xiaodong Gu:
Embedding topological features into convolutional neural network salient object detection. 308-318
- Alberto Patiño-Saucedo, Horacio Rostro-González, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco:
Event-driven implementation of deep spiking convolutional neural networks for supervised classification using the SpiNNaker neuromorphic platform. 319-328 - Xiaohong Wang, Zhen Wang, Qiankun Song, Hao Shen, Xia Huang:
A waiting-time-based event-triggered scheme for stabilization of complex-valued neural networks. 329-338 - Gesa Lange, Mario Senden, Alexandra Radermacher, Peter De Weerd:
Interfering with a memory without erasing its trace. 339-355 - Yufei Liu, Bo Shen, Huisheng Shu:
Finite-time resilient H∞ state estimation for discrete-time delayed neural networks under dynamic event-triggered mechanism. 356-365 - Nassim Abderrahmane, Edgar Lemaire, Benoît Miramond:
Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence. 366-386 - Yunzhe Hao, Xuhui Huang, Meng Dong, Bo Xu:
A biologically plausible supervised learning method for spiking neural networks using the symmetric STDP rule. 387-395
- Alqamah Sayeed, Yunsoo Choi, Ebrahim Eslami, Yannic Lops, Anirban Roy, Jia Jung:
Using a deep convolutional neural network to predict 2017 ozone concentrations, 24 hours in advance. 396-408 - De-Yan Xie, Quanxue Gao, Qianqian Wang, Xiangdong Zhang, Xinbo Gao:
Adaptive latent similarity learning for multi-view clustering. 409-418
- Hyeonsu Lee, Woo-Chul Choi, Youngjin Park, Se-Bum Paik:
Distinct role of flexible and stable encodings in sequential working memory. 419-429
- Gongming Wang, Qing-Shan Jia, Junfei Qiao, Jing Bi, Caixia Liu:
A sparse deep belief network with efficient fuzzy learning framework. 430-440 - Imran Razzak, Raghib M. Abu-Saris, Michael Blumenstein, Guandong Xu:
Integrating joint feature selection into subspace learning: A formulation of 2DPCA for outliers robust feature selection. 441-451 - Bangxin Jiang, Jianquan Lu, Jungang Lou, Jianlong Qiu:
Synchronization in an array of coupled neural networks with delayed impulses: Average impulsive delay method. 452-460 - Chunwei Tian, Yong Xu, Wangmeng Zuo:
Image denoising using deep CNN with batch renormalization. 461-473 - Xiao-Zheng Jin, Xianfeng Zhao, Jiguo Yu, Xiaoming Wu, Jing Chi:
Adaptive fault-tolerant consensus for a class of leader-following systems using neural network learning strategy. 474-483 - Maoguo Gong, Jialun Feng, Yu Xie:
Privacy-enhanced multi-party deep learning. 484-496
- Zhilong He, Chuandong Li, Ling Chen, Zhengran Cao:
Dynamic behaviors of the FitzHugh-Nagumo neuron model with state-dependent impulsive effects. 497-511
- Qi Xu, Jianxin Peng, Jiangrong Shen, Huajin Tang, Gang Pan:
Deep CovDenseSNN: A hierarchical event-driven dynamic framework with spiking neurons in noisy environment. 512-519
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