Connectionists: NEURAL NETWORKS: Best Paper Award and Sept. 2017 Content

[WANG, DELIANG]

We are pleased to announce the recipient of the inaugural Best Paper Award:

Juergen Schmidhuber: "Deep Learning in Neural Networks: An Overview," 
published in Neural Networks, volume 61, pp. 85-117, January 2015. This 
paper has open access:

https://www.journals.elsevier.com/neural-networks/news/announcement-of-the-neural-networks-best-paper-award 


Kenji Doya and DeLiang Wang
Co-Editors-in-Chief

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Neural Networks - Volume 93, September 2017
http://www.journals.elsevier.com/neural-networks

Bayesian geodesic path for human motor control
Ken Takiyama

Pinning synchronization of memristor-based neural networks with 
time-varying delays
Zhanyu Yang, Biao Luo, Derong Liu, Yueheng Li

Multi-scale modeling of altered synaptic plasticity related to Amyloid 
image effects
Takumi Matsuzawa, Laszlo Zalanyi, Tamas Kiss, Peter Erdi

An online supervised learning method based on gradient descent for 
spiking neurons
Yan Xu, Jing Yang, Shuiming Zhong

Sparse subspace clustering for data with missing entries and high-rank 
matrix completion
Jicong Fan, Tommy W.S. Chow

Ordinal regression based on learning vector quantization
Fengzhen Tang, Peter Tino

Nonredundant sparse feature extraction using autoencoders with receptive 
fields clustering
Babajide O. Ayinde, Jacek M. Zurada

Deep neural mapping support vector machines
Yujian Li, Ting Zhang

Robust recursive absolute value inequalities discriminant analysis with 
sparseness
Chun-Na Li, Zeng-Rong Zheng, Ming-Zeng Liu, Yuan-Hai Shao, Wei-Jie Chen

Novel density-based and hierarchical density-based clustering algorithms 
for uncertain data
Xianchao Zhang, Han Liu, Xiaotong Zhang

Recommender system based on scarce information mining
Wei Lu, Fu-lai Chung, Kunfeng Lai, Liang Zhang

Emergence of ultrafast sparsely synchronized rhythms and their responses 
to external stimuli in an inhomogeneous small-world complex neuronal 
network
Sang-Yoon Kim, Woochang Lim

Synchronization of stochastic reaction–diffusion neural networks with 
Dirichlet boundary conditions and unbounded delays
Yin Sheng, Zhigang Zeng

Fractional-order leaky integrate-and-fire model with long-term memory 
and power law dynamics
Wondimu W. Teka, Ranjit Kumar Upadhyay, Argha Mondal

Memristor standard cellular neural networks computing in the flux–charge 
domain
Mauro Di Marco, Mauro Forti, Luca Pancioni

Master–slave exponential synchronization of delayed complex-valued 
memristor-based neural networks via impulsive control
Xiaofan Li, Jian-an Fang, Huiyuan Li

Hybrid impulsive and switching Hopfield neural networks with 
state-dependent impulses
Xianxiu Zhang, Chuandong Li, Tingwen Huang

A new method for quantifying the performance of EEG blind source 
separation algorithms by referencing a simultaneously recorded ECoG signal
Naoya Oosugi, Keiichi Kitajo, Naomi Hasegawa, Yasuo Nagasaka, Kazuo 
Okanoya, Naotaka Fujii