Neural Networks, Volume 33

Volume 33, September 2012

Neural Networks Letters

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  Bo Liu, Wenlian Lu, Tianping Chen:
  Stability analysis of some delay differential inequalities with small time delays and its applications. 1-6

Mathematical and Computational Analysis

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  Satoshi Hara, Yoshinobu Kawahara, Takashi Washio, Paul von Bünau, Terumasa Tokunaga, Kiyohumi Yumoto:
  Separation of stationary and non-stationary sources with a generalized eigenvalue problem. 7-20
• 
  Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes:
  Convergence analysis of sliding mode trajectories in multi-objective neural networks learning. 21-31
• 
  Gang Bao, Shiping Wen, Zhigang Zeng:
  Robust stability analysis of interval fuzzy Cohen-Grossberg neural networks with piecewise constant argument of generalized type. 32-41

Engineering and Applications

• 
  Snaider Carrillo, Jim Harkin, Liam McDaid, Sandeep Pande, Seamus Cawley, Brian McGinley, Fearghal Morgan:
  Advancing interconnect density for spiking neural network hardware implementations using traffic-aware adaptive network-on-chip routers. 42-57

Mathematical and Computational Analysis

• 
  Xueyi Liu, Chuanhou Gao, Ping Li:
  A comparative analysis of support vector machines and extreme learning machines. 58-66
• 
  Alexander Simonov, Innokentiy Kastalskiy, Viktor B. Kazantsev:
  Pattern retrieval in a three-layer oscillatory network with a context dependent synaptic connectivity. 67-75

Engineering and Applications

• 
  Michail Maniadakis, Panos E. Trahanias, Jun Tani:
  Self-organizing high-order cognitive functions in artificial agents: Implications for possible prefrontal cortex mechanisms. 76-87

Learning Systems

• 
  Erdem Alkim, Emre Gürbüz, Erdal Kiliç:
  A fast and adaptive automated disease diagnosis method with an innovative neural network model. 88-96

Mathematical and Computational Analysis

• 
  Zuowei Cai, Lihong Huang, Zhenyuan Guo, Xiaoyan Chen:
  On the periodic dynamics of a class of time-varying delayed neural networks via differential inclusions. 97-113

Cognitive Science

• 
  Matthew C. Casey, Paul T. Sowden:
  Modeling learned categorical perception in human vision. 114-126

Mathematical and Computational Analysis

• 
  Jian Wang, Wei Wu, Jacek M. Zurada:
  Computational properties and convergence analysis of BPNN for cyclic and almost cyclic learning with penalty. 127-135
• 
  Pierre Baldi, Zhiqin Lu:
  Complex-valued autoencoders. 136-147

Engineering and Applications

• 
  Xiangyang Wang, Xian-Jin Zhang, Hong-Ying Yang, Juan Bu:
  A pixel-based color image segmentation using support vector machine and fuzzy C-means. 148-159

Mathematical and Computational Analysis

• 
  Vera Kurková:
  Complexity estimates based on integral transforms induced by computational units. 160-167

Cognitive Science

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  Ángel Iglesias, M. Dolores del Castillo, Jose Ignacio Serrano, Jesus Oliva:
  A computational knowledge-based model for emulating human performance in the Iowa Gambling Task. 168-180

Engineering and Applications

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  Valeriya Naumova, Sergei V. Pereverzyev, Sivananthan Sivananthan:
  A meta-learning approach to the regularized learning - Case study: Blood glucose prediction. 181-193

Mathematical and Computational Analysis

• 
  Andre Lemme, René Felix Reinhart, Jochen Jakob Steil:
  Online learning and generalization of parts-based image representations by non-negative sparse autoencoders. 194-203

Engineering and Applications

• 
  Daqi Gao, Zeping Yang, Chaoqian Cai, Fangjun Liu:
  Performance evaluation of multilayer perceptrons for discriminating and quantifying multiple kinds of odors with an electronic nose. 204-215

Mathematical and Computational Analysis

• 
  Wei Zhou, Jacek M. Zurada:
  A Competitive Layer Model for Cellular Neural Networks. 216-227

Neural Networks Letters

• 
  Lingfeng Niu, Jianmin Wu, Yong Shi:
  Training the max-margin sequence model with the relaxed slack variables. 228-235

Neuroscience

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  Toshikazu Samura, Hatsuo Hayashi:
  Directional spike propagation in a recurrent network: Dynamical firewall as anisotropic recurrent inhibition. 236-246

Mathematical and Computational Analysis

• 
  Nopriadi, Yukihiko Yamashita:
  A new approach to a maximum a posteriori-based kernel classification method. 247-256

Cognitive Science

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  Kô Sakai, Haruka Nishimura, Ryohei Shimizu, Keiichi Kondo:
  Consistent and robust determination of border ownership based on asymmetric surrounding contrast. 257-274

Engineering and Applications

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  Karen E. Joyce, Paul J. Laurienti, Satoru Hayasaka:
  Complexity in a brain-inspired agent-based model. 275-290