Neural Networks new articles 6 January -12 January, 2014

1. Nonsmooth finite-time stabilization of neural networks with discontinuous activations  
Xiaoyang Liu, Ju.H. Park, Nan Jiang, Jinde Cao

Neural Networks new articles 23 December - 29 December, 2013

1. Construction of a Boolean model of gene and protein regulatory network with memory
Meng Yang, Rui Li, Tianguang Chu
   
2. Pairwise constrained concept factorization for data representation
Yangcheng He, Hongtao Lu, Lei Huang, Saining Xie
   
3. Periodicity and global exponential stability of a generalized Cohen–Grossberg neural networks with discontinuous activations and mixed delays
Dongshu Wang, Lihong Huang

Neural Networks Volume 50 Pages 1-182 February 2014

Neural Networks Letters

1. Existence and global exponential stability of periodic solution for high-order discrete-time BAM neural networks 
Pages: 98-109
Author(s): Ancai Zhang, Jianlong Qiu, Jinhua She

2. Cellular computational networks—A scalable architecture for learning the dynamics of large networked systems 
Pages: 120-123
Author(s): Bipul Luitel, Ganesh Kumar Venayagamoorthy

Cognitive Science

3. Supervised orthogonal discriminant subspace projects learning for face recognition  
Pages: 33-46
Author(s): Yu Chen, Xiao-Hong Xu

Learning Systems

4. Direct Kernel Perceptron (DKP): Ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation 
Pages: 60-71
Author(s): Manuel Fernández-Delgado, Eva Cernadas, Senén Barro, Jorge Ribeiro, José Neves

5. Batch gradient method with smoothing image regularization for training of feedforward neural networks  
Pages: 72-78
Author(s): Wei Wu, Qinwei Fan, Jacek M. Zurada, Jian Wang, Dakun Yang, Yan Liu

6. Compressed classification learning with Markov chain samples 
Pages: 90-97
Author(s): Feilong Cao, Tenghui Dai, Yongquan Zhang, Yuanpeng Tan

7. Semi-supervised learning of class balance under class-prior change by distribution matching  
Pages: 110-119
Author(s): Marthinus Christoffel du Plessis, Masashi Sugiyama

8. Robust support vector machine-trained fuzzy system  
Pages: 154-165
Author(s): Yahya Forghani, Hadi Sadoghi Yazdi

9. Large-scale linear nonparallel support vector machine solver  
Pages: 166-174
Author(s): Yingjie Tian, Yuan Ping

10. Finite time convergent learning law for continuous neural networks  
Pages: 175-182
Author(s): Isaac Chairez
   

Mathematical and Computational Analysis

11. A Bayesian inverse solution using independent component analysis  
Pages: 47-59
Author(s): Jouni Puuronen, Aapo Hyvärinen
   
12. A one-layer recurrent neural network for constrained nonsmooth invex optimization  
Pages: 79-89
Author(s): Guocheng Li, Zheng Yan, Jun Wang
   
13. Pointwise probability reinforcements for robust statistical inference  
Pages: 124-141
Author(s): Benoît Frénay, Michel Verleysen
   
14. A linear recurrent kernel online learning algorithm with sparse updates  
Pages: 142-153
Author(s): Haijin Fan, Qing Song

Engineering and Applications

15. Correcting and combining time series forecasters  
Pages: 1-11
Author(s): Paulo Renato A. Firmino, Paulo S.G. de Mattos Neto, Tiago A.E. Ferreira

16. Hybrid fault diagnosis of nonlinear systems using neural parameter estimators 
Pages: 12-32
Author(s): E. Sobhani-Tehrani, H.A. Talebi, K. Khorasani

Neural Networks Volume 48 Pages 1-208

Neural Networks Letters

1. Is mutual information adequate for feature selection in regression?  
Pages: 1-7
Author(s): Benoît Frénay, Gauthier Doquire, Michel Verleysen
   
2. Neural architecture design based on extreme learning machine  
Pages: 19-24
Author(s): Andrés Bueno-Crespo, Pedro J. García-Laencina, José-Luis Sancho-Gómez
   
3. Comments on the “No-Prop” algorithm  
Pages: 59-60
Author(s): Meng-Hiot Lim

4. Exponential stabilization of delayed recurrent neural networks: A state estimation based approach  
Pages: 153-157
Author(s): He Huang, Tingwen Huang, Xiaoping Chen, Chunjiang Qian

Neuroscience

5. A model of task-specific focal dystonia  
Pages: 25-31
Author(s): Eckart Altenmüller, Dieter Müller

6. Global exponential synchronization of memristor-based recurrent neural networks with time-varying delays  
Pages: 195-203
Author(s): Shiping Wen, Gang Bao, Zhigang Zeng, Yiran Chen, Tingwen Huang
   

Learning Systems

7. An efficient matrix bi-factorization alternative optimization method for low-rank matrix recovery and completion 
Pages: 8-18
Author(s): Yuanyuan Liu, L.C. Jiao, Fanhua Shang, Fei Yin, F. Liu

8. Analysis of programming properties and the row–column generation method for 1-norm support vector machines 
Pages: 32-43
Author(s): Li Zhang, WeiDa Zhou

9. Fully corrective boosting with arbitrary loss and regularization  
Pages: 44-58
Author(s): Chunhua Shen, Hanxi Li, Anton van den Hengel
   
10. Fixed-final-time optimal control of nonlinear systems with terminal constraints  
Pages: 61-71
Author(s): Ali Heydari, S.N. Balakrishnan
   
11. Solving graph data issues using a layered architecture approach with applications to web spam detection
Pages: 78-90
Author(s): Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner, Lucia Di Noi
   
12. Fuzzy rough sets, and a granular neural network for unsupervised feature selection 
Pages: 91-108
Author(s): Avatharam Ganivada, Shubhra Sankar Ray, Sankar K. Pal
   
13. Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule  
Pages: 109-124
Author(s): Michael Beyeler, Nikil D. Dutt, Jeffrey L. Krichmar
   
14. 1-norm support vector novelty detection and its sparseness  
Pages: 125-132
Author(s): Li Zhang, WeiDa Zhou
   
15. On the construction of the relevance vector machine based on Bayesian Ying-Yang harmony learning  
Pages: 173-179
Author(s): Dansong Cheng, Minh Nhut Nguyen, Junbin Gao, Daming Shi
   

Mathematical and Computational Analysis

16. Multivariate neural network operators with sigmoidal activation functions 
Pages: 72-77
Author(s): Danilo Costarelli, Renato Spigler
   
17. Self-Organizing Hidden Markov Model Map (SOHMMM) 
Pages: 133-147
Author(s): Christos Ferles, Andreas Stafylopatis
   
18. The breaking of a delayed ring neural network contributes to stability: The rule and exceptions 
Pages: 148-152
Author(s): T.N. Khokhlova, M.M. Kipnis
   
19. Global exponential dissipativity and stabilization of memristor-based recurrent neural networks with time-varying delays  
Pages: 158-172
Author(s): Zhenyuan Guo, Jun Wang, Zheng Yan
   
20. Dynamical behaviors for discontinuous and delayed neural networks in the framework of Filippov differential inclusions  
Pages: 180-194
Author(s): Lihong Huang, Zuowei Cai, Lingling Zhang, Lian Duan
   

Letter to the Editor

21. Reply to the Comments on the “No-Prop” algorithm  
Pages: 204
Author(s): Bernard Widrow
   
22. A comment on “ image -stability and image -synchronization for fractional-order neural networks”  
Pages: 207-208
Author(s): Li Kexue, Peng Jigen, Gao Jinghuai
   

Erratum

23. Erratum to “Comments on the ‘No-Prop’ algorithm” [Neural Netw. 48 (2013) 59–60]  
Pages: 205
Author(s): Meng-Hiot Lim
   

Corrigendum

24. Corrigendum to “Noise enhanced clustering and competitive learning algorithms” [Neural Netw. 37 (2013) 132–140]  
Pages: 206
Author(s): Osonde Osoba, Bart Kosko

Neural Networks new articles 25 November - 1 December, 2013

1. Feature selection and multi-kernel learning for sparse representation on a manifold
Jim Jing-Yan Wang, Halima Bensmail, Xin Gao

2. Large-scale linear Nonparallel Support Vector Machine solver
Yingjie Tian, Yuan Ping

3. Neural network for solving convex quadratic bilevel programming problems
Xing He, Chuandong Li, Tingwen Huang, Chaojie Li

Neural Networks new articles 19-25 November, 2013

1. Compressed classification learning with Markov chain samples 
Feilong Cao, Tenghui Dai, Yongquan Zhang, Yuanpeng Tan
   
2. Existence and global exponential stability of periodic solution for high-order discrete-time BAM neural networks  
Ancai Zhang, Jianlong Qiu, Jinhua She

3. Pointwise probability reinforcements for robust statistical inference 
Benoît Frénay, Michel Verleysen

4. Robust support vector machine-trained fuzzy system
Yahya Forghani, Hadi Sadoghi Yazdi

5. A linear recurrent kernel online learning algorithm with sparse updates 
Haijin Fan, Qing Song
   
6. A one-layer recurrent neural network for constrained nonsmooth invex optimization 
Guocheng Li, Zheng Yan, Jun Wang

7. Semi-supervised learning of class balance under class-prior change by distribution matching
Marthinus Christoffel du Plessis, Masashi Sugiyama
   
8. Batch gradient method with smoothing image regularization for training of feedforward neural networks
Wei Wu, Qinwei Fan, Jacek M. Zurada, Jian Wang, Dakun Yang, Yan Liu

Neural Networks Volume 47 Pages 1-150

1. Computation in the Cerebellum  
Author(s): Dieter Jaeger, Henrik Jorntell, Mitsuo Kawato
Pages: 1-2

2. The importance of stochastic signaling processes in the induction of long-term synaptic plasticity  
Author(s): Erik De Schutter
Pages: 3-10

3. Dendritic calcium signaling in cerebellar Purkinje cell  
Author(s): Kazuo Kitamura, Masanobu Kano
Pages: 11-17

4. Bistability in Purkinje neurons: Ups and downs in cerebellar research  
Author(s): Jordan D.T. Engbers, Fernando R. Fernandez, Ray W. Turner
Pages: 18-31

5. Mechanisms producing time course of cerebellar long-term depression  
Author(s): Taegon Kim, Keiko Tanaka-Yamamoto
Pages: 32-35

6. Cerebellar LTD vs. motor learning—Lessons learned from studying GluD2  
Author(s): Michisuke Yuzaki
Pages: 36-41

7. Adaptive coupling of inferior olive neurons in cerebellar learning  
Author(s): Isao T. Tokuda, Huu Hoang, Nicolas Schweighofer, Mitsuo Kawato
Pages: 42-50

8. Solution to the inverse problem of estimating gap-junctional and inhibitory conductance in inferior olive neurons from spike trains by network model simulation  
Author(s): Miho Onizuka, Huu Hoang, Mitsuo Kawato, Isao T. Tokuda, Nicolas Schweighofer, Yuichi Katori, Kazuyuki Aihara, Eric J. Lang, Keisuke Toyama
Pages: 51-63

9. Nucleo-olivary inhibition balances the interaction between the reactive and adaptive layers in motor control  
Author(s): Ivan Herreros, Paul F.M.J. Verschure
Pages: 64-71

10. Transfer of memory trace of cerebellum-dependent motor learning in human prism adaptation: A model study  
Author(s): Soichi Nagao, Takeru Honda, Tadashi Yamazaki
Pages: 72-80
   
11. Classical conditioning of motor responses: What is the learning mechanism?  
Author(s): Germund Hesslow, Dan-Anders Jirenhed, Anders Rasmussen, Fredrik Johansson
Pages: 81-87

12. Cross-correlations between pairs of neurons in cerebellar cortex in vivo  
Author(s): Fredrik Bengtsson, Pontus Geborek, Henrik Jörntell
Pages: 88-94

13. Using a million cell simulation of the cerebellum: Network scaling and task generality  
Author(s): Wen-Ke Li, Matthew J. Hausknecht, Peter Stone, Michael D. Mauk
Pages: 95-102
   
14. Realtime cerebellum: A large-scale spiking network model of the cerebellum that runs in realtime using a graphics processing unit  
Author(s): Tadashi Yamazaki, Jun Igarashi
Pages: 103-111

15. Modeling the generation of output by the cerebellar nuclei  
Author(s): Volker Steuber, Dieter Jaeger
Pages: 112-119

16. Modeling cancelation of periodic inputs with burst-STDP and feedback  
Author(s): K. Bol, G. Marsat, J.F. Mejias, L. Maler, A. Longtin
Pages: 120-133

17. Adaptive filters and internal models: Multilevel description of cerebellar function  
Author(s): John Porrill, Paul Dean, Sean R. Anderson
Pages: 134-149