Connectionists: Neurocomputing volume 69 (issues 16-18)

[Tom Heskes]

Neurocomputing volume 69 (issues 16-18)

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SPECIAL PAPERS
(Brain inspired cognitive systems
edited by Amir Hussain, Leslie S. Smith and Igor Alexander)

Brain inspired cognitive systems (BICS 2004)
Amir Hussain, Leslie S. Smith and Igor Alexander

Symmetry axis extraction by a neural network
Kunihiko Fukushima and Masayuki Kikuchi

The oscillatory dynamic link matcher for spiking-neuron-based pattern 
recognition
Ramin Pichevar, Jean Rouat and Le Tan Thanh Tai

A binary neural decision table classifier
Victoria J. Hodge, Simon O’Keefe and Jim Austin

Mixed-signal neuron-synapse implementation for large-scale neural network
Il Song Han

A novel multiple-controller incorporating a radial basis function neural 
network based generalized learning model
Ali S. Zayed, Amir Hussain and Rudwan A. Abdullah

A new biclustering technique based on crossing minimization
Ahsan Abdullah and Amir Hussain

Effects of NMDA and non-NMDA receptors antagonists on the dynamic 
behavior of cultured cortical networks
L. Bonzano, M. Bove and S. Martinoia

An artificial early visual model adopting spike-timing-dependent plasticity
Zhijun Yang and Alan F. Murray

Learning under weight constraints in networks of temporal encoding 
spiking neurons
Q.X. Wu, T.M. McGinnity, L.P. Maguire, B. Glackin and A. Belatreche

Executive attention, task selection and attention-based learning in a 
neurally controlled simulated robot
Jason Garforth, Sue L. McHale and Anthony Meehan

Spatio-temporal information coding in the cuneate nucleus
J. Navarro, E. Sánchez and A. Canedo

Balancing plasticity and stability of on-line learning based on 
hierarchical Bayesian adaptation of forgetting factors
Junichiro Hirayama, Junichiro Yoshimoto and Shin Ishii

Design and basic blocks of a neuromorphic VLSI analogue vision system
Jordi Cosp, Jordi Madrenas and Daniel Fernández

Selective attention implemented with dynamic synapses and 
integrate-and-fire neurons
Chiara Bartolozzi and Giacomo Indiveri

Modelling the interaction of attention and emotion
N. Fragopanagos and J.G. Taylor

A model of agent consciousness and its implementation
Ivan Moura

Eye movement predictions on natural videos
Martin Böhme, Michael Dorr, Christopher Krause, Thomas Martinetz and 
Erhardt Barth

Understanding spike-time-dependent plasticity: A biologically motivated 
computational model
Matthew Hartley, Neill Taylor and John Taylor

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REGULAR PAPERS

Adaptive multiple sets of CSS features for hand posture recognition
Chin-Chen Chang

Learning with generalized-mean neuron model
R.N. Yadav, Nimit Kumar, Prem K. Kalra and Joseph John

Kernel self-organising maps for classification
K.W. Lau, H. Yin and S. Hubbard

GOLS—Genetic orthogonal least squares algorithm for training RBF networks
A.M.S. Barreto, H.J.C. Barbosa and N.F.F. Ebecken

A filter bank approach to independent component analysis for convolved 
mixtures
Hyung-Min Park, Chandra Shekhar Dhir, Sang-Hoon Oh and Soo-Young Lee

A novel genetic reinforcement learning for nonlinear fuzzy control problems
Cheng-Jian Lin and Yong-Ji Xu

Global exponential stability of BAM neural networks with recent-history 
distributed delays and impulses
Bingwen Liu and Lihong Huang

Dynamic pruning algorithm for multilayer perceptron based neural control 
systems
Jie Ni and Qing Song

Stochastic saliency-based search model for search asymmetry with 
uncertain targets
Takahiko Koike and Jun Saiki

Deductive rules in holographic reduced representation
Vladimír Kvasnička and Jiří Pospíchal

Simple neuron-based adaptive controller for a nonholonomic mobile robot 
including actuator dynamics
Tamoghna Das, I.N. Kar and S. Chaudhury

Existence and exponential stability of periodic solution for BAM neural 
networks with periodic coefficients and delays
Yanqing Liu and Wansheng Tang

The effect of different basis functions on a radial basis function 
network for time series prediction: A comparative study
C. Harpham and C.W. Dawson

Parallel reinforcement learning using multiple reward signals
Peter Raicevic

Building meaningful representations for nonlinear modeling of 1d- and 
2d-signals: applications to biomedical signals
R. Dubois, B. Quenet, Y. Faisandier and G. Dreyfus

Evolved neural networks based on cellular automata for sensory-motor 
controller
Kyung-Joong Kim and Sung-Bae Cho

Integrating the improved CBP model with kernel SOM
Qun Dai and Songcan Chen

Probabilistic PCA for t distributions
J. Zhao and Q. Jiang

LIRA neural classifier for handwritten digit recognition and visual 
controlled microassembly
Ernst Kussul and Tatiana Baidyk

Margin-based wrapper methods for gene identification using microarray
Xue-Wen Chen

ICA with Reference
Wei Lu and Jagath C. Rajapakse

Finding cancer subtypes in microarray data using random projections
Debashis Ghosh

Evolutionary system for automatically constructing and adapting radial 
basis function networks
Daniel Manrique, Juan Ríos and Alfonso Rodríguez-Patón

A new ARTMAP-based neural network for incremental learning
Mu-Chun Su, Jonathan Lee and Kuo-Lung Hsieh

Analysis of two restart algorithms
Wei Lin and Tianping Chen

Genetic tracker with neural network for single and multiple target tracking
Ilke Turkmen, Kerim Guney and Dervis Karaboga

Fast computation with neural oscillators
Wei Wang and Jean-Jacques E. Slotine

An image coding scheme using SMVQ and support vector machines
Chin-Chen Chang and Chia-Te Liao

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BRIEF PAPERS

A deformation-invariant image-based fingerprint verification system
Loris Nanni and Alessandra Lumini

Phase space learning in an autonomous dynamical neural network
Hiroshi Inazawa and Garrison W. Cottrell

Secure hash function based on neural network
Shiguo Lian, Jinsheng Sun and Zhiquan Wang

A variational method for learning sparse Bayesian regression
Mingjun Zhong

Flexible kernels for RBF networks
Andre O. Falcão, Thibault Langlois and Andreas Wichert

New fast time delay neural networks using cross correlation performed in 
the frequency domain
Hazem M. El-Bakry

Image restoration using variational PDE-based neural network
Ya-Dong Wu, Qing-Xin Zhu, Shi-Xin Sun and Hong-Ying Zhang

Improved extreme learning machine for function approximation by encoding 
a priori information
Fei Han and De-Shuang Huang

New LMI conditions for delay-dependent asymptotic stability of delayed 
Hopfield neural networks
Xuyang Lou and Baotong Cui

Hardware–software partitioning of real-time operating systems using 
Hopfield neural networks
Bing Guo, Dianhui Wang, Yan Shen and Zhong Liu

Combining labeled and unlabeled data with graph embedding
Haitao Zhao

Empirical tests on BioHashing
Loris Nanni and Alessandra Lumini

A novel adaptive sequential niche technique for multimodal function 
optimization
Jun Zhang, De-Shuang Huang, Tat-Ming Lok and Michael R. Lyu

An advanced multi-matcher method for on-line signature verification 
featuring global features and tokenised random numbers
Loris Nanni

Feature selection in independent component subspace for microarray data 
classification
Chun-Hou Zheng, De-Shuang Huang and Li Shang

Image binarization focusing on objects
Songcan Chen and Daohong Li

Non-combinatorial estimation of independent autoregressive sources
Barnabás Póczos and András Lőrincz

On-line estimation of the final prediction error via recursive 
least-squares method
John Sum and Kevin Ho

Prototype-based fuzzy classification with local relevance for proteomics 
T. Villmann, F.-M. Schleif and B. Hammer

Applying genetic algorithm for classifying anomalous TCP/IP packets
Taeshik Shon, Xeno Kovah and Jongsub Moon

A novel ensemble of classifiers for protein fold recognition
Loris Nanni

Global optimal ICA and its application in MEG data analysis
Lei Xie and Jun Wu

Sampled FLDA for face recognition with single training image per person
Hongtao Yin, Ping Fu and Shengwei Meng

Reduced complexity RBF classifiers with support vector centres and 
dynamic decay adjustment
Renzo Perfetti and Elisa Ricci

A new methodology for in situ calibration of a neural network-based 
software sensor for S-parameter prediction in six-port reflectometers
J.L. Pedreño-Molina, M. Pinzolas and J. Monzó-Cabrera

On the reduction of complexity in the architecture of fuzzy ARTMAP with 
dynamic decay adjustment
Shing Chiang Tan, M.V.C. Rao and Chee Peng Lim

Remarks on BioHashing based cancelable biometrics in verification system
Andrew Teoh Beng Jin and Tee Connie

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JOURNAL SITE: http://www.elsevier.com/locate/neucom
SCIENCE DIRECT:
http://www.sciencedirect.com/science/journal/09252312