Neural Networks, Volume 77, Pages 1-126, May 2016

1) Image and geometry processing with Oriented and Scalable Map  
Author(s): Hao Hua
Pages: 1-6

2) Noise further expresses exponential decay for globally exponentially stable time-varying delayed neural networks  
Author(s): Song Zhu, Qiqi Yang, Yi Shen
Pages: 7-13

3) A Fast SVD-Hidden-nodes based Extreme Learning Machine for Large-Scale Data Analytics  
Author(s): Wan-Yu Deng, Zuo Bai, Guang-Bin Huang, Qing-Hua Zheng
Pages: 14-28

4) Neuromorphic VLSI realization of the hippocampal formation  
Author(s): Anu Aggarwal
Pages: 29-40

5) Synchronization for an array of neural networks with hybrid coupling by a novel pinning control strategy  
Author(s): Dawei Gong, Frank L. Lewis, Liping Wang, Ke Xu
Pages: 41-50

6) Analysis of global image stability and global asymptotical periodicity for a class of fractional-order complex-valued neural networks with time varying delays  
Author(s): R. Rakkiyappan, R. Sivaranjani, G. Velmurugan, Jinde Cao
Pages: 51-69

7) State estimation for a class of artificial neural networks with stochastically corrupted measurements under Round-Robin protocol  
Author(s): Yuqiang Luo, Zidong Wang, Guoliang Wei, Fuad E. Alsaadi, Tasawar Hayat
Pages: 70-79

8) Global exponential stability of neural networks with time-varying delay based on free-matrix-based integral inequality  
Author(s): Yong He, Meng-Di Ji, Chuan-Ke Zhang, Min Wu
Pages: 80-86

9) Towards holographic “brain” memory based on randomization and Walsh–Hadamard transformation  
Author(s): Daniel Berend, Shlomi Dolev, Sergey Frenkel, Ariel Hanemann
Pages: 87-94

10) Function approximation in inhibitory networks  
Author(s): Bryan Tripp, Chris Eliasmith
Pages: 95-106

11) Tensor SOM and tensor GTM: Nonlinear tensor analysis by topographic mappings  
Author(s): Tohru Iwasaki, Tetsuo Furukawa
Pages: 107-125

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

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

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

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

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

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

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

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

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

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

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

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

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

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]  
Pages: 151
Author(s): Mahmood Amiri

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

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 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: 2-8 July, 2013

1. A model of task-specific focal dystonia  
Author(s): Eckart Altenmüller, Dieter Müller

2. Universal approximation by radial basis function networks of Delsarte translates  
Author(s): Cristian Arteaga, Isabel Marrero
  
3. Neural architecture design based on extreme learning machine  
Author(s): Andrés Bueno-Crespo, Pedro J. García-Laencina, José-Luis Sancho-Gómez
    
4. Stochastic stability of discrete-time Markovian jump delay neural networks with impulses and incomplete information on transition probability  
Author(s): Yu Zhang

Nominations for INNS Awards 2014

 The International Neural Network Society's Awards Program is established to recognize individuals who have made outstanding contributions in the field of Neural Networks. Up to three awards, at most one in each category, of $1,000 each, are presented annually to senior, highly accomplished researchers for outstanding contributions made in the field of Neural Networks.

The Hebb, Helmholtz and Gabor Awards:

The Hebb Award - recognizes achievement in biological learning.

The Helmholtz Award - recognizes achievement in sensation/perception.

The Gabor Award - recognizes achievement in engineering/application.

Young Investigator Awards:

Up to two awards of $500 each are presented annually to individuals with no more than five years postdoctoral experience and who are under forty years of age, for significant contributions in the field of Neural Networks.


Nominations:

1. The Awards Committee should receive nominations of no more than two pages in length, specifying:

• The award category (Hebb, Helmholtz, Gabor, or Young Investigator) for which the candidate is being nominated.

• The reasons for which the nominee should be considered for the award.

• A list of at least five of the nominee's important and published papers. 

2. The curriculum vitae of both the nominee and the nominator must be included with the nomination, including the name, address, position/title, phone, fax, and e-mail address for both the nominee and nominator.

3. The nominator must be an INNS member in good standing. Nominees do not have to be INNS members. If an award recipient is not an INNS member, they shall receive a free one-year INNS membership.

4. Nominators may not nominate themselves or their family members.

5. Individuals may not receive the same INNS Award more than once.

All nominations will be considered by the Awards Committee and selected ones forwarded to the INNS Board of Governors, along with the Committee's recommendations for award recipients. Voting shall be performed by the entire BoG.

The Awards Committee:

INNS Award Committee consists of the chair (Prof. Leonid Perlovsky) and two other members. All members must be INNS Governors in the year that they are appointed.

Please email the 2014 nominations along with their attachments directly to the chair of the Awards Committee at leonid@seas.harvard.edu, with a copy to the Secretary of the Society at hava@cs.umass.edu by June 1, 2013. Please use the following subject line in the email: INNS award nomination.