Neural Networks, Volume 71, Pages 1-224, November 2015

1. Towards dropout training for convolutional neural networks  
Pages: 1-10
Author(s): Haibing Wu, Xiaodong Gu

2. Complex Rotation Quantum Dynamic Neural Networks (CRQDNN) using Complex Quantum Neuron (CQN): Applications to time series prediction  
Pages: 11-26
Author(s): Yiqian Cui, Junyou Shi, Zili Wang

3. Multistability of memristive Cohen–Grossberg neural networks with non-monotonic piecewise linear activation functions and time-varying delays  
Pages: 27-36
Author(s): Xiaobing Nie, Wei Xing Zheng, Jinde Cao

4. Stability and synchronization of memristor-based fractional-order delayed neural networks  
Pages: 37-44
Author(s): Liping Chen, Ranchao Wu, Jinde Cao, Jia-Bao Liu

5. A novel multivariate performance optimization method based on sparse coding and hyper-predictor learning  
Pages: 45-54
Author(s): Jiachen Yang, Zhiyong Ding, Fei Guo, Huogen Wang, Nick Hughes

6. Novel conditions on exponential stability of a class of delayed neural networks with state-dependent switching  
Pages: 55-61
Author(s): Guodong Zhang, Yi Shen

7. Cost-efficient FPGA implementation of basal ganglia and their Parkinsonian analysis 
Pages: 62-75
Author(s): Shuangming Yang, Jiang Wang, Shunan Li, Bin Deng, Xile Wei, Haitao Yu, Huiyan Li

8. OCReP: An Optimally Conditioned Regularization for pseudoinversion based neural training  
Pages: 76-87
Author(s): Rossella Cancelliere, Mario Gai, Patrick Gallinari, Luca Rubini

9. Incremental multi-class semi-supervised clustering regularized by Kalman filtering  
Pages: 88-104
Author(s): Siamak Mehrkanoon, Oscar Mauricio Agudelo, Johan A.K. Suykens

10. Synchronization of neural networks with stochastic perturbation via aperiodically intermittent control  
Pages: 105-111
Author(s): Wei Zhang, Chuandong Li, Tingwen Huang, Mingqing Xiao

11. A new computational account of cognitive control over reinforcement-based decision-making: Modeling of a probabilistic learning task  
Pages: 112-123
Author(s): Sareh Zendehrouh

12. Long-range cortical connections give rise to a robust velocity map of V1  
Pages: 124-141
Author(s): Phillip Sheridan

13. Towards biological plausibility of electronic noses: A spiking neural network based approach for tea odour classification  
Pages: 142-149
Author(s): Sankho Turjo Sarkar, Amol P. Bhondekar, Martin Macaš, Ritesh Kumar, Rishemjit Kaur, Anupma Sharma, Ashu Gulati, Amod Kumar

14. Reinforcement learning solution for HJB equation arising in constrained optimal control problem  
Pages: 150-158
Author(s): Biao Luo, Huai-Ning Wu, Tingwen Huang, Derong Liu

15. Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality  
Pages: 159-171
Author(s): Alessandro Montalto, Sebastiano Stramaglia, Luca Faes, Giovanni Tessitore, Roberto Prevete, Daniele Marinazzo

16. Fuzzy wavelet plus a quantum neural network as a design base for power system stability enhancement  
Pages: 172-181
Author(s): Soheil Ganjefar, Morteza Tofighi, Hamidreza Karami

17. Investigation on Amari’s dynamical neural field with global constant inhibition  
Pages: 182-195
Author(s): Dequan Jin, Jigen Peng

18. Consensus analysis of networks with time-varying topology and event-triggered diffusions  
Pages: 196-203
Author(s): Yujuan Han, Wenlian Lu, Tianping Chen

19. Prediction of telephone calls load using Echo State Network with exogenous variables  
Pages: 204-213
Author(s): Filippo Maria Bianchi, Simone Scardapane, Aurelio Uncini, Antonello Rizzi, Alireza Sadeghian

20. Budget constrained non-monotonic feature selection  
Pages: 214-224
Author(s): Haiqin Yang, Zenglin Xu, Michael R. Lyu, Irwin King

Neural Networks Volume 70, Pages 1-102, October 2015

1. Discriminative clustering via extreme learning machine
Author(s): Gao Huang, Tianchi Liu, Yan Yang, Zhiping Lin, Shiji Song, Cheng Wu
Pages: 1-8

2. Realization problem of multi-layer cellular neural networks
Author(s): Jung-Chao Ban, Chih-Hung Chang
Pages: 9-17

3. Real-time, adaptive machine learning for non-stationary, near chaotic gasoline engine combustion time series
Author(s): Adam Vaughan, Stanislav V. Bohac
Pages: 18-26

4. Impulsive synchronization of Markovian jumping randomly coupled neural networks with partly unknown transition probabilities via multiple integral approach
Author(s): A. Chandrasekar, R. Rakkiyappan, Jinde Cao
Pages: 27-38

5. Near-Bayesian Support Vector Machines for imbalanced data classification with equal or unequal misclassification costs
Author(s): Shounak Datta, Swagatam Das
Pages: 39-52

6. Robustness analysis of uncertain dynamical neural networks with multiple time delays
Author(s): Sibel Senan
Pages: 53-60

7. Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine
Author(s): Paolo Avesani, Hananel Hazan, Ester Koilis, Larry M. Manevitz, Diego Sona
Pages: 61-73

8. Finite time stabilization of delayed neural networks
Author(s): Leimin Wang, Yi Shen, Zhixia Ding
Pages: 74-80

9. Matrix measure method for global exponential stability of complex-valued recurrent neural networks with time-varying delays
Author(s): Weiqiang Gong, Jinling Liang, Jinde Cao
Pages: 81-89

10. Maximum margin semi-supervised learning with irrelevant data
Author(s): Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu
Pages: 90-102

Neural Networks, Volume 69 , Pages 1-144, September 2015

1. Accuracy of latent-variable estimation in Bayesian semi-supervised learning 
Pages: 1-10
Author(s): Keisuke Yamazaki

2. Asymptotic accuracy of Bayesian estimation for a single latent variable 
Pages: 11-19
Author(s): Keisuke Yamazaki

3. Finite-time synchronization for memristor-based neural networks with time-varying delays 
Pages: 20-28
Author(s): Abdujelil Abdurahman, Haijun Jiang, Zhidong Teng

4. Real-time human action classification using a dynamic neural model 
Pages: 29-43
Author(s): Zhibin Yu, Minho Lee

5. Convergence analysis of an augmented algorithm for fully complex-valued neural networks 
Pages: 44-50
Author(s): Dongpo Xu, Huisheng Zhang, Danilo P. Mandic

6. Improving nonlinear modeling capabilities of functional link adaptive filters 
Pages: 51-59
Author(s): Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Raffaele Parisi, Aurelio Uncini

7. Many regression algorithms, one unified model: A review
Pages: 60-79
Author(s): Freek Stulp, Olivier Sigaud

8. L1-norm locally linear representation regularization multi-source adaptation learning 
Pages: 80-98
Author(s): Jianwen Tao, Shiting Wen, Wenjun Hu

9. A new robust model of one-class classification by interval-valued training data using the triangular kernel 
Pages: 99-110
Author(s): Lev V. Utkin, Anatoly I. Chekh

10. Optimized face recognition algorithm using radial basis function neural networks and its practical applications  
Pages: 111-125
Author(s): Sung-Hoon Yoo, Sung-Kwun Oh, Witold Pedrycz

11. Locality preserving score for joint feature weights learning 
Pages: 126-134
Author(s): Hui Yan, Jian Yang

12. Finite-time boundedness and stabilization of uncertain switched neural networks with time-varying delay 
Pages: 135-143
Author(s): Yuanyuan Wu, Jinde Cao, Abdulaziz Alofi, Abdullah AL-Mazrooei, Ahmed Elaiw

Neural Networks, Volume 68, Pages 1-110, August 2015

1. Periodic solution for state-dependent impulsive shunting inhibitory CNNs with time-varying delays 
Author(s): Mustafa Saylı, Enes Yılmaz
Pages: 1-11

2. Discontinuous Lyapunov approach to state estimation and filtering of jumped systems with sampled-data  
Author(s): Xiaoyang Liu, Wenwu Yu, Jinde Cao, Shun Chen
Pages: 12-22

3. Computer aided diagnosis of schizophrenia on resting state fMRI data by ensembles of ELM 
Author(s): Darya Chyzhyk, Alexandre Savio, Manuel Grana
Pages: 23-33

4. Almost periodic solutions for a memristor-based neural networks with leakage, time-varying and distributed delays 
Author(s): Ping Jiang, Zhigang Zeng, Jiejie Chen
Pages: 34-45

5. Set selection dynamical system neural networks with partial memories, with applications to Sudoku and KenKen puzzles 
Author(s): B. Boreland, G. Clement, H. Kunze
Pages: 46-51

6. Multistability in a class of stochastic delayed Hopfield neural networks 
Author(s): Wu-Hua Chen, Shixian Luo, Xiaomei Lu
Pages: 52-61

7. Analysis of connectivity in NeuCube spiking neural network models trained on EEG data for the understanding of functional changes in the brain: A case study on opiate dependence treatment 
Author(s): Elisa Capecci, Nikola Kasabov, Grace Y. Wang
Pages: 62-77

8. Global asymptotical image -periodicity of a fractional-order non-autonomous neural networks 
Author(s): Boshan Chen, Jiejie Chen
Pages: 78-88

9. The transfer function of neuron spike 
Author(s): Igor Palmieri, Luiz H.A. Monteiro, Maria D. Miranda
Pages: 89-95

10. Periodic synchronization control of discontinuous delayed networks by using extended Filippov-framework 
Author(s): Zuowei Cai, Lihong Huang, Zhenyuan Guo, Lingling Zhang, Xuting Wan
Pages: 96-110

Neural Networks Volume 67, Pages 1-154, July 2015

1. A spiking neural network based on the basal ganglia functional anatomy 
Author(s): Javier Baladron, Fred H. HamkerPages: 1-13

2. Further analysis of global image -stability of complex-valued neural networks with unbounded time-varying delays  
Author(s): G. Velmurugan, R. Rakkiyappan, Jinde CaoPages: 14-27

3. Neural network operators: Constructive interpolation of multivariate functions  
Author(s): Danilo CostarelliPages: 28-36

4. Modelling the insect Mushroom Bodies: Application to sequence learning  
Author(s): Paolo Arena, Marco Cali, Luca Patane, Agnese Portera, Roland StraussPages: 37-53

5. Biomimetic race model of the loop between the superior colliculus and the basal ganglia: Subcortical selection of saccade targets  
Author(s): Charles Thurat, Steve N’Guyen, Benoit GirardPages: 54-73

6. A bio-inspired stimulator to desynchronize epileptic cortical population models: A digital implementation framework  
Author(s): Mohsen Piri, Masoud Amiri, Mahmood Amiri Pages: 74-83

7. Robust stability of stochastic fuzzy delayed neural networks with impulsive time window  
Author(s): Xin Wang, Junzhi Yu, Chuandong Li, Hui Wang, Tingwen Huang, Junjian Huang Pages: 84-91

8. Adaptive intermittent control: A computational model explaining motor intermittency observed in human behavior  
Author(s): Yutaka Sakaguchi, Masato Tanaka, Yasuyuki InouePages: 92-109

9. Construction and evaluation of an integrated dynamical model of visual motion perception 
Author(s): Emilien Tlapale, Barbara Anne Dosher, Zhong-Lin Lu Pages: 110-120

10. A biological mechanism for Bayesian feature selection: Weight decay and raising the LASSO  
Author(s): Patrick Connor, Paul Hollensen, Olav Krigolson, Thomas TrappenbergPages: 121-130

11. Low-dimensional recurrent neural network-based Kalman filter for speech enhancement  
Author(s): Youshen Xia, Jun WangPages: 131-139

12. Incremental learning for image -Support Vector Regression  
Author(s): Bin Gu, Victor S. Sheng, Zhijie Wang, Derek Ho, Said Osman, Shuo Li Pages: 140-150

13. Corrigendum to "Feedback associative memory based on a new hybrid model of generalized regression and self feedback neural networks" [Neural Netw. 23(7) (2010) 892–904]  
Author(s): Mahmood AmiriPages: 151

14. Corrigendum to "Projective synchronization for fractional neural networks"  
Author(s): Juan Yu, Cheng Hu, Haijun JiangPages: 152-154

Neural Networks Volume 66, Pages 1-138, June 2015

1) Event-triggered asynchronous intermittent communication strategy for synchronization in complex dynamical networks
Author(s): Huaqing Li, Xiaofeng Liao, Guo Chen, David J. Hill, Zhaoyang Dong, Tingwen HuangPages: 1-10

2) Multilingual part-of-speech tagging with weightless neural networks 
Author(s): Hugo C.C. Carneiro, Felipe M.G. Franca, Priscila M.V. LimaPages: 11-21

3) Hierarchical neural networks perform both serial and parallel processing
Author(s): Elena Agliari, Adriano Barra, Andrea Galluzzi, Francesco Guerra, Daniele Tantari, Flavia TavaniPages: 22-35

4) Diversifying customer review rankings
Author(s): Ralf Krestel, Nima Dokoohaki Pages: 36-45

5) Stochastic sampled-data control for synchronization of complex dynamical networks with control packet loss and additive time-varying delays  
Author(s): R. Rakkiyappan, N. Sakthivel, Jinde CaoPages: 46-63

6) Multi-frame image super resolution based on sparse coding  
Author(s): Toshiyuki Kato, Hideitsu Hino, Noboru Murata Pages: 64-78

7) A digital implementation of neuron–astrocyte interaction for neuromorphic applications 
Author(s): Soheila Nazari, Karim Faez, Mahmood Amiri, Ehsan Karami Pages: 79-90

8) Asynchronous event-based corner detection and matching  
Author(s): Xavier Clady, Sio-Hoi Ieng, Ryad BenosmanPages: 91-106

9) Phase synchronization of coupled bursting neurons and the generalized Kuramoto model  
Author(s): F.A.S. Ferrari, R.L. Viana, S.R. Lopes, R. StoopPages: 107-118

10) Global exponential periodicity and stability of discrete-time complex-valued recurrent neural networks with time-delays  
Author(s): Jin Hu, Jun WangPages: 119-130

11) A new delay-independent condition for global robust stability of neural networks with time delays
Author(s): Ruya Samli Pages: 131-137

Neural Networks, Volume 65 , Pages 1-126, May 2015

1. Enhanced low-rank representation via sparse manifold adaption for semi-supervised learning  
Pages: 1-17
Author(s): Yong Peng, Bao-Liang Lu, Suhang Wang

2. Computational cognitive models of spatial memory in navigation space: A review 
Pages: 18-43
Author(s): Tamas Madl, Ke Chen, Daniela Montaldi, Robert Trappl

3. Attention modeled as information in learning multisensory integration  
Pages: 44-52
Author(s): Johannes Bauer, Sven Magg, Stefan Wermter

4. A new class of multi-stable neural networks: Stability analysis and learning process  
Pages: 53-64
Author(s): E. Bavafaye Haghighi, G. Palm, M. Rahmati, M.J. Yazdanpanah

5. Multistability of neural networks with discontinuous non-monotonic piecewise linear activation functions and time-varying delays  
Pages: 65-79
Author(s): Xiaobing Nie, Wei Xing Zheng

6. Pth moment exponential stochastic synchronization of coupled memristor-based neural networks with mixed delays via delayed impulsive control  
Pages: 80-91
Author(s): Xinsong Yang, Jinde Cao, Jianlong Qiu

7. Robust L1-norm two-dimensional linear discriminant analysis  
Pages: 92-104
Author(s): Chun-Na Li, Yuan-Hai Shao, Nai-Yang Deng

8. New exponential synchronization criteria for time-varying delayed neural networks with discontinuous activations  
Pages: 105-114
Author(s): Zuowei Cai, Lihong Huang, Lingling Zhang

9. Local Rademacher Complexity: Sharper risk bounds with and without unlabeled samples 
Pages: 115-125
Author(s): Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita

Neural Networks Volume 64, Pages 1-64, April 2015

Special Issue on “Deep Learning of Representations”
Edited by Yoshua Bengio and Honglak Lee

1. Editorial introduction to the Neural Networks special issue on Deep Learning of Representations  
Pages: 1-3
Author(s): Yoshua Bengio, Honglak Lee

2. Two-layer contractive encodings for learning stable nonlinear features 
Pages: 4-11
Author(s): Hannes Schulz, Kyunghyun Cho, Tapani Raiko, Sven Behnke

3. Measuring the usefulness of hidden units in Boltzmann machines with mutual information  
Pages: 12-18
Author(s): Mathias Berglund, Tapani Raiko, Kyunghyun Cho

4. Deep learning of support vector machines with class probability output networks 
Pages: 19-28
Author(s): Sangwook Kim, Zhibin Yu, Rhee Man Kil, Minho Lee

5. Expected energy-based restricted Boltzmann machine for classification  
Pages: 29-38
Author(s): S. Elfwing, E. Uchibe, K. Doya

6. Deep Convolutional Neural Networks for Large-scale Speech Tasks  
Pages: 39-48
Author(s): Tara N. Sainath, Brian Kingsbury, George Saon, Hagen Soltau, Abdel-rahman Mohamed, George Dahl, Bhuvana Ramabhadran

7. Frame-by-frame language identification in short utterances using deep neural networks  
Pages: 49-58
Author(s): Javier Gonzalez-Dominguez, Ignacio Lopez-Moreno, Pedro J. Moreno, Joaquin Gonzalez-Rodriguez

8. Challenges in representation learning: A report on three machine learning contests  
Pages: 59-63
Author(s): Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron Courville, Mehdi Mirza, Ben Hamner, Will Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Zhang Chuang, Yoshua Bengio

Neural Networks, Volume 63, Pages 1-292, March 2015

Cognitive Science

A neural network for learning the meaning of objects and words from a featural representation  
Pages: 234-253
Author(s): Mauro Ursino, Cristiano Cuppini, Elisa Magosso

Neuroscience

Circuit design and exponential stabilization of memristive neural networks  
Pages: 48-56
Author(s): Wen, Tingwen Huang, Zhigang Zeng, Yiran Chen, Peng Li

Learning Systems

Performance improvement of classifier fusion for batch samples based on upper integral  
Pages: 87-93
Author(s): Hui-Min Feng, Xi-Zhao Wang

Convex nonnegative matrix factorization with manifold regularization  
Pages: 94-103
Author(s): Wenjun Hu, Kup-Sze Choi, Peiliang Wang, Yunliang Jiang, Shitong Wang

Towards an intelligent framework for multimodal affective data analysis  
Pages: 104-116
Author(s): Soujanya Poria, Erik Cambria, Amir Hussain, Guang-Bin Huang

Approximate kernel competitive learning  
Pages: 117-132
Author(s): Jian-Sheng Wu, Wei-Shi Zheng, Jian-Huang Lai

A vector reconstruction based clustering algorithm particularly for large-scale text collection  
Pages: 141-155
Author(s): Ming Liu, Chong Wu, Lei Chen

Active learning for semi-supervised clustering based on locally linear propagation reconstruction  
Pages: 170-184
Author(s): Chin-Chun Chang, Po-Yi Lin

Adaptive learning rate of SpikeProp based on weight convergence analysis  
Pages: 185-198
Author(s): Sumit Bam Shrestha, Qing Song

Fully probabilistic control for stochastic nonlinear control systems with input dependent noise  
Pages: 199-207
Author(s): Randa Herzallah

Self-organizing maps based on limit cycle attractors  
Pages: 208-222
Author(s): Di-Wei Huang, Rodolphe J. Gentili, James A. Reggia

Mathematical and Computational Analysis

Projective synchronization of fractional-order memristor-based neural networks  
Pages: 1-9
Author(s): Hai-Bo Bao, Jin-De Cao

Estimates on compressed neural networks regression  
Pages: 10-17
Author(s): Yongquan Zhang, Youmei Li, Jianyong Sun, Jiabing Ji

Global exponential stability of delayed Markovian jump fuzzy cellular neural networks with generally incomplete transition probability  
Pages: 18-30
Author(s): Yonggui Kao, Lei Shi, Jing Xie, Hamid Reza Karimi

Jackson-type inequalities for spherical neural networks with doubling weights  
Pages: 57-65
Author(s): Shaobo Lin, Jinshan Zeng, Lin Xu, Zongben Xu

RBF-network based sparse signal recovery algorithm for compressed sensing reconstruction  
Pages: 66-78
Author(s): Vidya L., Vivekanand V., Shyamkumar U., Deepak Mishra

Finite-time synchronization control of a class of memristor-based recurrent neural networks  
Pages: 133-140
Author(s): Minghui Jiang, Shuangtao Wang, Jun Mei, Yanjun Shen

Dynamics of neural networks over undirected graphs  
Pages: 156-169
Author(s): Eric Goles, Gonzalo A. Ruz

Convergence and attractivity of memristor-based cellular neural networks with time delays  
Pages: 223-233
Author(s): Sitian Qin, Jun Wang, Xiaoping Xue

Massively parallel neural circuits for stereoscopic color vision: Encoding, decoding and identification  
Pages: 254-271
Author(s): Aurel A. Lazar, Yevgeniy B. Slutskiy, Yiyin Zhou

Neural network for constrained nonsmooth optimization using Tikhonov regularization  
Pages: 272-281
Author(s): Sitian Qin, Dejun Fan, Guangxi Wu, Lijun Zhao

Engineering and Applications

Robust sequential learning of feedforward neural networks in the presence of heavy-tailed noise  
Pages: 31-47
Author(s): Najdan Vuković, Zoran Miljković

Fast Clustered Radial Basis Function Network as an adaptive predictive controller  
Pages: 79-86
Author(s): Dino Kosic

Designing a deep brain stimulator to suppress pathological neuronal synchrony  
Pages: 282-292
Author(s): Ghazal Montaseri, Mohammad Javad Yazdanpanah, Fariba Bahrami

Neural Networks, Volume 62, Pages 1-118, February 2015

Communication and Brain  
Author(s): Yutaka Sakaguchi, Takeshi Aihara, Peter Ford Dominey, Ichiro Tsuda
Pages: 1-2

Mathematical Theory and Model

Mathematical modeling for evolution of heterogeneous modules in the brain  
Author(s): Yutaka Yamaguti, Ichiro Tsuda
Pages: 3-10

Self-organization of a recurrent network under ongoing synaptic plasticity  
Author(s): Takaaki Aoki
Pages: 11-19

Hodge–Kodaira decomposition of evolving neural networks  
Author(s): Keiji Miura, Takaaki Aoki
Pages: 20-24

Memories as bifurcations: Realization by collective dynamics of spiking neurons under stochastic inputs
Author(s): Tomoki Kurikawa, Kunihiko Kaneko
Pages: 25-31

Multistate network model for the pathfinding problem with a self-recovery property
Author(s): Kei-Ichi Ueda, Masaaki Yadome, Yasumasa Nishiura
Pages: 32-38

Neural coordination can be enhanced by occasional interruption of normal firing patterns: A self-optimizing spiking neural network model  
Author(s): Alexander Woodward, Tom Froese, Takashi Ikegami
Pages: 39-46

Physiology, Neuroscience and Model

Phase shifts in alpha-frequency rhythm detected in electroencephalograms influence reaction time  
Author(s): Yasushi Naruse, Ken Takiyama, Masato Okada, Hiroaki Umehara, Yutaka Sakaguchi
Pages: 47-51

Spatial consistency of neural firing regulates long-range local field potential synchronization: A computational study  
Author(s): Naoyuki Sato
Pages: 52-61

Arm-use dependent lateralization of gamma and beta oscillations in primate medial motor areas  
Author(s): Ryosuke Hosaka, Toshi Nakajima, Kazuyuki Aihara, Yoko Yamaguchi, Hajime Mushiake
Pages: 62-66

Spatiotemporal patterns of current source density in the prefrontal cortex of a behaving monkey  
Author(s): Kazuhiro Sakamoto, Norihiko Kawaguchi, Kohei Yagi, Hajime Mushiake
Pages: 67-72

Computational model of visual hallucination in dementia with Lewy bodies  
Author(s): Hiromichi Tsukada, Hiroshi Fujii, Kazuyuki Aihara, Ichiro Tsuda
Pages: 73-82

Behavioral and System model

Immediate return preference emerged from a synaptic learning rule for return maximization  
Author(s): Yoshiya Yamaguchi, Takeshi Aihara, Yutaka Sakai
Pages: 83-90

A wavelet-based method for extracting intermittent discontinuities observed in human motor behavior  
Author(s): Yasuyuki Inoue, Yutaka Sakaguchi
Pages: 91-101

Exploiting the gain-modulation mechanism in parieto-motor neurons: Application to visuomotor transformations and embodied simulation  
Author(s): Sylvain Mahé, Raphaël Braud, Philippe Gaussier, Mathias Quoy, Alexandre Pitti
Pages: 102-111

Communication, concepts and grounding  
Author(s): Frank van der Velde
Pages: 112-117

Neural Networks Voume 61, Pages 1-118, January 2015

1. Neural Networks Referees in 2014
Pages: xi-xiii

2. Exciting Time for Neural Networks  
Pages: xv-xvi
Author(s): Kenji Doya, DeLiang Wang

NEURAL NETWORKS LETTERS

3. Dynamic analysis of periodic solution for high-order discrete-time Cohen–Grossberg neural networks with time delays  
Pages: 68-74
Author(s): Kaiyun Sun, Ancai Zhang, Jianlong Qiu, Xiangyong Chen, Chengdong Yang, Xiao Chen

REVIEWS

4. Trends in extreme learning machines: A review
Pages: 32-48
Author(s): Gao Huang, Guang-Bin Huang, Shiji Song, Keyou You

5. Deep learning in neural networks: An overview
Pages: 85-117
Author(s): Jürgen Schmidhuber

LEARNING SYSTEMS

6. An efficient sampling algorithm with adaptations for Bayesian variable selection
Pages: 22-31
Author(s): Takamitsu Araki, Kazushi Ikeda, Shotaro Akaho

7. A complex-valued neural dynamical optimization approach and its stability analysis
Pages: 59-67
Author(s): Songchuan Zhang, Youshen Xia, Weixing Zheng

8. Max–min distance nonnegative matrix factorization  
Pages: 75-84
Author(s): Jim Jing-Yan Wang, Xin Gao

MATHEMATICAL AND COMPUTATIONAL ANALYSIS

9. New synchronization criteria for memristor-based networks: Adaptive control and feedback control schemes
Pages: 1-9
Author(s): Ning Li, Jinde Cao

10. A one-layer recurrent neural network for constrained nonconvex optimization
Pages: 10-21
Author(s): Guocheng Li, Zheng Yan, Jun Wang

11. Passivity analysis for memristor-based recurrent neural networks with discrete and distributed delays
Pages: 49-58
Author(s): Guodong Zhang, Yi Shen, Quan Yin, Junwei Sun

Neural Networks Volume 60, Pages: 1-246, December 2014

Cognitive Science

1. How active perception and attractor dynamics shape perceptual categorization: A computational model  
Author(s): Nicola Catenacci Volpi, Jean Charles Quinton, Giovanni Pezzulo
Pages: 1-16

2. Connectionist interpretation of the association between cognitive dissonance and attention switching  
Author(s): Takao Matsumoto
Pages: 119-132

3. Neurocomputational approaches to modelling multisensory integration in the brain: A review  
Author(s): Mauro Ursino, Cristiano Cuppini, Elisa Magosso
Pages: 141-165

4. Person-by-person prediction of intuitive economic choice  
Author(s): George Mengov
Pages: 232-245


Neuroscience

5. Global exponential almost periodicity of a delayed memristor-based neural networks  
Author(s): Jiejie Chen, Zhigang Zeng, Ping Jiang
Pages: 33-43

6. Global robust asymptotic stability of variable-time impulsive BAM neural networks  
Author(s): Mustafa Şaylı, Enes Yılmaz
Pages: 67-73

7. Noise cancellation of memristive neural networks  
Author(s): Shiping Wen, Zhigang Zeng, Tingwen Huang, Xinghuo Yu
Pages: 74-83

8. Stability and bifurcation analysis of new coupled repressilators in genetic regulatory networks with delays  
Author(s): Guang Ling, Zhi-Hong Guan, Ding-Xin He, Rui-Quan Liao, Xian-He Zhang
Pages: 222-231


Learning Systems

9. Simple randomized algorithms for online learning with kernels  
Author(s): Wenwu He, James T. Kwok
Pages: 17-24

10. New approximation method for smooth error backpropagation in a quantron network  
Author(s): Simon de Montigny
Pages: 84-95

11. Unsupervised learnable neuron model with nonlinear interaction on dendrites  
Pages: 96-103
Author(s): Yuki Todo, Hiroki Tamura, Kazuya Yamashita, Zheng Tang

12. A convolutional recursive modified Self Organizing Map for handwritten digits recognition  
Author(s): Ehsan Mohebi, Adil Bagirov
Pages: 104-118

13. Logarithmic learning for generalized classifier neural network  
Author(s): Buse Melis Ozyildirim, Mutlu Avci
Pages: 133-140

14. Design of hybrid radial basis function neural networks (HRBFNNs) realized with the aid of hybridization of fuzzy clustering method (FCM) and polynomial neural networks (PNNs)  
Author(s): Wei Huang, Sung-Kwun Oh, Witold Pedrycz
Pages: 166-181

15. On extending the complex FastICA algorithms to noisy data  
Author(s): Zongli Ruan, Liping Li, Guobing Qian
Pages: 194-202

16. Online computing of non-stationary distributions velocity fields by an accuracy controlled growing neural gas  
Author(s): Hervé Frezza-Buet
Pages: 203-221


Mathematical and Computational Analysis

17. Impulsive exponential synchronization of randomly coupled neural networks with Markovian jumping and mixed model-dependent time delays  
Author(s): Xin Wang, Chuandong Li, Tingwen Huang, Ling Chen
Pages: 25-32

18. Continuous neural identifier for uncertain nonlinear systems with time delays in the input signal  
Author(s): M. Alfaro-Ponce, A. Argüelles, I. Chairez
Pages: 53-66


Engineering and Applications

19. Dynamic neural network-based robust observers for uncertain nonlinear systems  
Author(s): H.T. Dinh, R. Kamalapurkar, S. Bhasin, W.E. Dixon
Pages: 44-52

20. A computer vision system for rapid search inspired by surface-based attention mechanisms from human perception  
Author(s): Johannes Mohr, Jong-Han Park, Klaus Obermayer
Pages: 182-193

Neural Networks Special Issue: Neural Network Learning in Big Data

Big data is much more than storage of and access to data. Analytics plays an important role in making sense of that data and exploiting its value. But learning from big data has become a significant challenge and requires development of new types of algorithms. Most machine learning algorithms encounter theoretical challenges in scaling up to big data. Plus there are challenges of high dimensionality, velocity and variety for all types of machine learning algorithms. The neural network field has historically focused on algorithms that learn in an online, incremental mode without requiring in-memory access to huge amounts of data. The brain is arguably the best and most elegant big data processor and is the inspiration for neural network learning methods. Neural network type of learning is not only ideal for streaming data (as in the Industrial Internet or the Internet of Things), but could also be used for stored big data. For stored big data, neural network algorithms can learn from all of the data instead of from samples of the data. And the same is true for streaming data where not all of the data is actually stored. In general, online, incremental learning algorithms are less vulnerable to size of the data. Neural network algorithms, in particular, can take advantage of massively parallel (brain-like) computations, which use very simple processors, that other machine learning technologies cannot. Specialized neuromorphic hardware, originally meant for large-scale brain simulations, is becoming available to implement these algorithms in a massively parallel fashion. Neural network algorithms, therefore, can deliver very fast and efficient real-time learning through the use of hardware and this could be particularly useful for streaming data in the Industrial Internet. Neural network technologies thus can become significant components of big data analytics platforms and this special issue will begin that journey with big data.

For this special issue of Neural Networks, we invite papers that address many of the challenges of learning from big data. In particular, we are interested in papers on efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and brain-inspired algorithms), implementations on different computing platforms (e.g. neuromorphic, GPUs, clouds, clusters) and applications of online learning to solve real-world big data problems (e.g. health care, transportation, and electric power and energy management).

RECOMMENDED TOPICS:

Topics of interest include, but are not limited to:

1. Autonomous, online, incremental learning – theory, algorithms and applications in big data
2. High dimensional data, feature selection, feature transformation – theory, algorithms and applications for big data
3. Scalable neural network algorithms for big data
4. Neural network learning algorithms for high-velocity streaming data
5. Deep neural network learning
6. Neuromorphic hardware for scalable neural network learning
7. Big data analytics using neural networks in healthcare/medical applications
8. Big data analytics using neural networks in electric power and energy systems
9. Big data analytics using neural networks in large sensor networks
10. Big data and neural network learning in computational biology and bioinformatics

SUBMISSION PROCEDURE:

Prospective authors should visit http://ees.elsevier.com/neunet/ for information on paper submission. During the submission process, there will be steps to designate the submission to this special issue. However, please indicate on the first page of the manuscript that the manuscript is intended for the Special Issue: Neural Network Learning in Big Data. Manuscripts will be peer reviewed according to Neural Networks guidelines.

Manuscript submission due: December 15, 2014
First review completed: March 1, 2015
Revised manuscript due: April 1, 2015
Second review completed, final decisions to authors: April 15, 2015
Final manuscript due: April 30, 2015

GUEST EDITORS:

• Asim Roy, Arizona State University, USA (asim.roy@asu.edu) (lead guest editor)
• Kumar Venayagamoorthy, Clemson University, USA (gkumar@ieee.org)
• Nikola Kasabov, Auckland University of Technology, New Zealand (nkasabov@aut.ac.nz)
• Irwin King, Chinese University of Hong Kong, China (irwinking@gmail.com)

Neural Networks Volume 58, Pages 1-148, October 2014

Special Issue on Affective Neural Networks and Cognitive Learning Systems for Big Data Analysis
Edited by Amir Hussain, Erik Cambria, Björn Schuller and Newton Howard

1. Affective neural networks and cognitive learning systems for big data analysis  
Pages: 1-3
Author(s): Amir Hussain, Erik Cambria, Björn Schuller, Newton Howard
   
2. Discrete particle swarm optimization for identifying community structures in signed social networks
Pages: 4-13
Author(s): Qing Cai, Maoguo Gong, Bo Shen, Lijia Ma, Licheng Jiao
   
3. An incremental community detection method for social tagging systems using locality-sensitive hashing
Pages: 14-28
Author(s): Zhenyu Wu, Ming Zou
   
4. Affective topic model for social emotion detection
Pages: 29-37
Author(s): Yanghui Rao, Qing Li, Liu Wenyin, Qingyuan Wu, Xiaojun Quan
   
5. Modeling virtual organizations with Latent Dirichlet Allocation: A case for natural language processing
Pages: 38-49
Author(s): Alexander Gross, Dhiraj Murthy
   
6. Semi-supervised word polarity identification in resource-lean languages
Pages: 50-59
Author(s): Iman Dehdarbehbahani, Azadeh Shakery, Heshaam Faili
   
7. Incorporating conditional random fields and active learning to improve sentiment identification
Pages: 60-67
Author(s): Kunpeng Zhang, Yusheng Xie, Yi Yang, Aaron Sun, Hengchang Liu, Alok Choudhary
   
8. A classification of user-generated content into consumer decision journey stages
Pages: 68-81
Author(s): Silvia Vázquez, Óscar Muñoz-García, Inés Campanella, Marc Poch, Beatriz Fisas, Nuria Bel, Gloria Andreu
   
9. Sentiments analysis at conceptual level making use of the Narrative Knowledge Representation Language
Pages: 82-97
Author(s): Gian Piero Zarri
   
10. Exploring personalized searches using tag-based user profiles and resource profiles in folksonomy
Pages: 98-110
Author(s): Yi Cai, Qing Li, Haoran Xie, Huaqin Min
   
11. Community-aware user profile enrichment in folksonomy
Pages: 111-121
Author(s): Haoran Xie, Qing Li, Xudong Mao, Xiaodong Li, Yi Cai, Yanghui Rao
   
12. A multi-label, semi-supervised classification approach applied to personality prediction in social media
Pages: 122-130
Author(s): Ana Carolina E.S. Lima, Leandro Nunes de Castro
   
13. Semantically-based priors and nuanced knowledge core for Big Data, Social AI, and language understanding
Pages: 131-147
Author(s): Daniel Olsher

Neural Networks Volume 57, Pages 1-166, September 2014

Neuroscience

1. Bayesian common spatial patterns for multi-subject EEG classification
Author(s): Hyohyeong Kang, Seungjin Choi
Pages: 39-50
  
2. Estimating the correlation between bursty spike trains and local field potentials
Author(s): Zhaohui Li, Gaoxiang Ouyang, Li Yao, Xiaoli Li
Pages: 63-72

3. Effect of hybrid circle reservoir injected with wavelet-neurons on performance of echo state network
Author(s): Hongyan Cui, Chen Feng, Yuan Chai, Ren Ping Liu, Yunjie Liu
Pages: 141-151

Learning Systems

4. Noise model based image -support vector regression with its application to short-term wind speed forecasting
Author(s): Qinghua Hu, Shiguang Zhang, Zongxia Xie, Jusheng Mi, Jie Wan
Pages: 1-11
   
5. Using financial risk measures for analyzing generalization performance of machine learning models
Author(s): Akiko Takeda, Takafumi Kanamori
Pages: 29-38
   
6. Fast Gaussian kernel learning for classification tasks based on specially structured global optimization
Author(s): Shangping Zhong, Tianshun Chen, Fengying He, Yuzhen Niu
Pages: 51-62
   
7. Semi-supervised information-maximization clustering
Author(s): Daniele Calandriello, Gang Niu, Masashi Sugiyama
Pages: 103-111
   
8. Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation
Author(s): Voot Tangkaratt, Syogo Mori, Tingting Zhao, Jun Morimoto, Masashi Sugiyama
Pages: 128-140

Mathematical and Computational Analysis

9. Periodicity and dissipativity for memristor-based mixed time-varying delayed neural networks via differential inclusions
Author(s): Lian Duan, Lihong Huang
Pages: 12-22
   
10. Comparing fixed and variable-width Gaussian networks
Author(s): Věra Kůrková, Paul C. Kainen
Pages: 23-28
   
11. Synchronization of memristor-based recurrent neural networks with two delay components based on second-order reciprocally convex approach
Author(s): A. Chandrasekar, R. Rakkiyappan, Jinde Cao, S. Lakshmanan
Pages: 79-93
   
12. Sudoku associative memory
Author(s): Jiann-Ming Wu, Pei-Hsun Hsu, Cheng-Yuan Liou
Pages: 112-127

Engineering and Applications

13. Neural network for solving Nash equilibrium problem in application of multiuser power control
Author(s): Xing He, Junzhi Yu, Tingwen Huang, Chuandong Li, Chaojie Li
Pages: 73-78
   
14. A new switching design to finite-time stabilization of nonlinear systems with applications to neural networks
Author(s): Xiaoyang Liu, Daniel W.C. Ho, Wenwu Yu, Jinde Cao
Pages: 94-102
   
15. Image denoising using nonsubsampled shearlet transform and twin support vector machines
Author(s): Hong-Ying Yang, Xiang-Yang Wang, Pan-Pan Niu, Yang-Cheng Liu
Pages: 152-165

Neural Networks Volume 56, Pages 1-68, August 2014

1. A global coupling index of multivariate neural series with application to the evaluation of mild cognitive impairment
Pages: 1-9
Author(s): Dong Wen, Qing Xue, Chengbiao Lu, Xinyong Guan, Yuping Wang, Xiaoli Li

2. Relative entropy minimizing noisy non-linear neural network to approximate stochastic processes
Pages: 10-21
Author(s): Mathieu N. Galtier, Camille Marini, Gilles Wainrib, Herbert Jaeger

3. Ideal regularization for learning kernels from labels
Pages: 22-34
Author(s): Binbin Pan, Jianhuang Lai, Lixin Shen

4. Grid topologies for the self-organizing map
Pages: 35-48
Author(s): Ezequiel López-Rubio, Antonio Díaz Ramos

5. Synaptic dynamics: Linear model and adaptation algorithm
Pages: 49-68
Author(s): Ali Yousefi, Alireza A. Dibazar, Theodore W. Berger

International Neural Network Society Call for Nominations for Senior Member

The International Neural Network Society (INNS) is calling for nominations for Senior Member. The requirements for Senior Member are as follows:

1. A regular or affiliate member of the INNS, who has been an INNS member for at least 5 consecutive years, can be nominated by an INNS member for Senior Member.

2. The nominee must have demonstrated a significant contribution to the theory and/or applications and/or education and promotion of the subject discipline, and this must be stated in the nomination letter.

3. Final confirmation of the 2014 Senior Members will be made by the INNS Board of Governors and appropriate announcements will then be made, at least on the INNS website, www.inns.org, and in the INNS magazine.

4. New Senior Members will receive an updated membership certificate.

For 2014, nomination letters and a CV of the candidate can be sent via e-mail to the INNS VP for Membership, Irwin King at king@cse.cuhk.edu.hk with the subject line: 2014 INNS SM Nomination, by Friday, June 27, 2014.

Neural Networks, Volume 55, Pages 1-110, July 2014

Neuroscience
1. Detecting cells using non-negative matrix factorization on calcium imaging data
Pages: 11-19
Author(s): Ryuichi Maruyama, Kazuma Maeda, Hajime Moroda, Ichiro Kato, Masashi Inoue, Hiroyoshi Miyakawa, Toru Aonishi

        
Learning Systems
2. Discrete-time online learning control for a class of unknown nonaffine nonlinear systems using reinforcement learning   
Pages: 30-41
Author(s): Xiong Yang, Derong Liu, Ding Wang, Qinglai Wei
        
3. Stochastic nonlinear time series forecasting using time-delay reservoir computers: Performance and universality   
Pages: 59-71
Author(s): Lyudmila Grigoryeva, Julie Henriques, Laurent Larger, Juan-Pablo Ortega
        
4. A general soft label based Linear Discriminant Analysis for semi-supervised dimensionality reduction   
Pages: 83-97
Author(s): Mingbo Zhao, Zhao Zhang, Tommy W.S. Chow, Bing Li

        
Mathematical and Computational Analysis
5. Exponential synchronization of delayed memristor-based chaotic neural networks via periodically intermittent control   
Pages: 1-10
Author(s): Guodong Zhang, Yi Shen

6. A collective neurodynamic optimization approach to bound-constrained nonconvex optimization
Pages: 20-29
Author(s): Zheng Yan, Jun Wang, Guocheng Li
        
7. Stability analysis of fractional-order Hopfield neural networks with time delays
Pages: 98-109
Author(s): Hu Wang, Yongguang Yu, Guoguang Wen

        
Engineering and Applications
8. Towards limb position invariant myoelectric pattern recognition using time-dependent spectral features   
Pages: 42-58
Author(s): Rami N. Khushaba, Maen Takruri, Jaime Valls Miro, Sarath Kodagoda
        
9. Model, analysis, and evaluation of the effects of analog VLSI arithmetic on linear subspace-based image recognition   
Pages: 72-82
Author(s): Gonzalo Carvajal, Miguel Figueroa