Wednesday, April 23, 2014

Neural Networks Volume 54, Pages 1-122, June 2014

Neural Networks Letters

1. Interaction of feedforward and feedback streams in visual cortex in a firing-rate model of columnar computations  
Author(s): Tobias Brosch, Heiko Neumann
Pages: 11-16
 

Learning Systems

2. Learning invariant object recognition from temporal correlation in a hierarchical network  
Author(s): Markus Lessmann, Rolf P. Würtz
Pages: 70-84
   
3. Growing Neural Gas approach for obtaining homogeneous maps by restricting the insertion of new nodes 
Author(s): Yuri Quintana-Pacheco, Daniel Ruiz-Fernández, Agustín Magrans-Rico
Pages: 95-102
   

Mathematical and Computational Analysis

4. An improved robust stability result for uncertain neural networks with multiple time delays 
Author(s): Sabri Arik
Pages: 1-10
   
5. Solving the linear interval tolerance problem for weight initialization of neural networks 
Author(s): S.P. Adam, D.A. Karras, G.D. Magoulas, M.N. Vrahatis
Pages: 17-37
   
6. Necessary and sufficient condition for multistability of neural networks evolving on a closed hypercube 
Author(s): Mauro Di Marco, Mauro Forti, Massimo Grazzini, Luca Pancioni
Pages: 38-48

7. Stable locality sensitive discriminant analysis for image recognition 
Author(s): Quanxue Gao, Jingjing Liu, Kai Cui, Hailin Zhang, Xiaogang Wang
Pages: 49-56

8. Global asymptotic stability analysis for delayed neural networks using a matrix-based quadratic convex approach 
Author(s): Xian-Ming Zhang, Qing-Long Han
Pages: 57-69

9. Impulsive synchronization schemes of stochastic complex networks with switching topology: Average time approach 
Author(s): Chaojie Li, Wenwu Yu, Tingwen Huang
Pages: 85-94

10. New criterion of asymptotic stability for delay systems with time-varying structures and delays 
Author(s): Bo Liu, Wenlian Lu, Tianping Chen
Pages: 103-111

11. A systematic method for analyzing robust stability of interval neural networks with time-delays based on stability criteria 
Author(s): Zhenyuan Guo, Jun Wang, Zheng Yan
Pages: 112-122