International Journal of Neural Systems, Volume 16

Volume 16, Number 1, February 2006

Kathleen A. Kramer, Stephen C. Stubberud:
Analysis and Implementation of a Neural Extended Kalman Filter for Target Tracking. 1-14
Srimanta Pal, Sabyasachi Bhattacharya, Nikhil R. Pal:
A Novel Connectionist Framework for Computation of an Approximate Convex-hull of a Set of Planar Points, Circles and Ellipses. 15-28
Nan-Ying Liang, Paramasivan Saratchandran, Guang-Bin Huang, Narasimhan Sundararajan:
Classification of Mental Tasks from Eeg Signals Using Extreme Learning Machine. 29-38
Fei Han, De-Shuang Huang, Zhi-Hua Zhu, Tie-Hua Rong:
The Forecast of the Postoperative Survival Time of Patients Suffered from Non-small Cell Lung Cancer Based on Pca and Extreme Learning Machine. 39-46
V. Sree Krishna Chaitanya, M. Srinivas Reddy:
A Neural Network Controller for the Path Tracking Control of a Hopping Robot Involving Time Delays. 47-62
Rajen B. Bhatt, M. Gopal:
Neuro-fuzzy Decision Trees. 63-78

Special Issue on Computational Neuroscience

Mathilde Badoual, Quan Zou, Andrew P. Davison, Michael Rudolph, Thierry Bal, Yves Frégnac, Alain Destexhe:
Biophysical and Phenomenological Models of Multiple Spike Interactions in Spike-timing Dependent Plasticity. 79-98
Dmitry E. Postnov, Ludmila S. Ryazanova, Erik Mosekilde, Olga V. Sosnovtseva:
Neural Synchronization via Potassium Signaling. 99-110
D. Sridharan, P. S. Prashanth, V. S. Chakravarthy:
The Role of the Basal Ganglia in Exploration in a Neural Model Based on Reinforcement Learning. 111-124
R. Srikanth, A. G. Ramakrishnan:
Wavelet-based Estimation of Hemodynamic Response Function from Fmri Data. 125-138
Huaien Luo, Sadasivan Puthusserypady:
Spatio-temporal Modeling and Analysis of Fmri Data Using Narx Neural Network. 139-149

Zhijun Yang, Katherine L. Cameron, Alan F. Murray, Vasin Boonsobhak:
An Adaptive Visual Neuronal Model Implementing Competitive, Temporally Asymmetric Hebbian Learning. 151-162
Phillip W. Moore, Ganesh K. Venayagamoorthy:
Evolving Digital Circuits Using Hybrid Particle Swarm Optimization and Differential Evolution. 163-178
K. Gopalsamy:
Second Order Neurons and Learning in Cohen-grossberg Networks. 179-190
Wen Yu, Alejandro Cruz Sandoval:
Some New Stability Properties of Dynamic Neural Networks with Different Time-scales. 191-200
Ranadhir Ghosh, John Yearwood, Moumita Ghosh, Adil M. Bagirov:
A Hybrid Neural Learning Algorithm Using Evolutionary Learning and Derivative Free Local Search Method. 201-214
Lubica Benuskova, Vishal Jain, Simei Gomes Wysoski, Nikola K. Kasabov:
Computational Neurogenetic Modelling: a Pathway to New Discoveries in Genetic Neuroscience. 215-226
D. Sridharan, P. S. Prashanth, V. S. Chakravarthy:
Erratum: "the Role of the Basal Ganglia in Exploration in a Neural Model Based on Reinforcement Learning". 227

Fady Alnajjar, Kazuyuki Murase:
Self-organization of Spiking Neural Network that Generates Autonomous Behavior in a Real Mobile Robot. 229-240
Antti Järvelin, Martti Juhola, Matti Laine:
A Neural Network Model for the Simulation of Word Production Errors of Finnish Nouns. 241-254
S. Hati, K. Chaudhury, A. Ibrahim:
Pose Estimation in Automated Visual Inspection Using Genetic Algorithm. 255-270
Adriano L. I. Oliveira, Ericles A. Medeiros, Thyago A. B. V. Rocha, Miguel E. R. Bezerra, Ronaldo C. Veras:
On the Influence of Parameter theta^- on Performance of Rbf Neural Networks Trained with the Dynamic Decay Adjustment Algorithm. 271-282
Pei-Yi Hao, Jung-Hsien Chiang:
Pruning and Model-selecting Algorithms in the Rbf Frameworks Constructed by Support Vector Learning. 283-294
Yongqing Yang, Jinde Cao:
A Delayed Neural Network Method for Solving Convex Optimization Problems. 295-304
Meiqin Liu:
Dynamic Output Feedback Stabilization for Nonlinear Systems Based on Standard Neural Network Models. 305-318
Rajen B. Bhatt, M. Gopal:
Erratum: "neuro-fuzzy Decision Trees". 319

Special Issue on Adaptive Neural Methods for Intelligent Data Analysis

Introduction. 328
Vladimir Nikulin:
On the Universal Clustering under a Broad Class of Loss Functions. 329-340
Xin Zhou, K. Z. Mao:
Regularization Network-based Gene Selection for Microarray Data Analysis. 341-352
Liat Ben-Tovim Jones, Richard Bean, Geoffrey J. McLachlan, Justin Xi Zhu:
Mixture Models for Detecting Differentially Expressed Genes in Microarrays. 353-362
Michael W. Towsey, James J. Gordon, James M. Hogan:
The Prediction of Bacterial Transcription Start Sites Using Svms. 363-370
Edmond H. C. Wu, Philip L. H. Yu, W. K. Li:
Value at Risk Estimation Using Independent Component Analysis-generalized Autoregressive Conditional Heteroscedasticity (ica-garch) Models. 371-382
Narongdech Keeratipranon, Frédéric Maire, Henry Huang:
Manifold Learning for Robot Navigation. 383-392

Christopher Johansson, Örjan Ekeberg, Anders Lansner:
Clustering of Stored Memories in an Attractor Network with Local Competition. 393-404
Dingguo Zhang, Kuanyi Zhu:
Computer Simulation Study on Central Pattern Generator: from Biology to Engineering. 405-422
Mohamed Abdel Fattah, Fuji Ren, Shingo Kuroiwa:
Sentence Alignment Using Feed Forward Neural Network. 423-434
Xuyang Lou, Baotong Cui:
Robust Exponential Stabilization of a Class of Delayed Neural Networks with Reaction-diffusion Terms. 435-444
Kazuki Nakada, Tetsuya Asai, Hatsuo Hayashi:
Analog Vlsi Implementation of Resonate-and-fire Neuron. 445-456
M. C. Nataraja, M. A. Jayaram, C. N. Ravikumar:
Kohonen's Feature Maps for Fly Ash Categorization. 457-466
Qiang Zhang, Xiaopeng Wei, Jin Xu:
A Novel Global Exponential Stability Result for Discrete-time Cellular Neural Networks with Variable Delays. 467-472
Baoyong Zhang, Shengyuan Xu, Yun Zou:
Relaxed Stability Conditions for Delayed Recurrent Neural Networks with Polytopic Uncertainties. 473-482

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