Connectionists: Neural Networks 18(5/6): Special Issue on "Advances in Neural Networks Research: IJCNN'05"

Tue Jul 26 16:35:18 EDT 2005

NEURAL NETWORKS 18(5/6)
Contents - Volume 18, Number 5/6 - 2005
Special Issue on "Advances in Neural Networks Research: IJCNN'05" 
Danil Prokhorov, Daniel Levine, Fredric Ham, and William Howell (editors)
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Introduction to the Special Issue 
Danil Prokhorov, Daniel Levine, Fredric Ham, and William Howell 

COMPUTATIONAL NEUROSCIENCE 

A model of STDP based on spatially and temporally local information:
Derivation and combination with gated decay
Anatoli Gorchetchnikov, Massimiliano Versace, and Michael E. Hasselmo

Stochastic resonance in noisy spiking retinal and sensory neuron models
Ashok Patel and Bart Kosko

Quantifying information and performance for flash detection in the blowfly
photoreceptor
Peng Xu and Pamela Abshire

Optimizing conductance parameters of cortical neural models via electronic
partitions
Keith Bush, James Knight, and Charles Anderson

NEURODYNAMICS AND HARDWARE 

Metastability, instability, and state transition in neocortex
Walter J. Freeman and Mark D. Holmes

A mixed analog/digital chaotic neuro-computer system for quadratic
assignment problems
Yoshihiko Horio, Tohru Ikeguchi, and Kazuyuki Aihara

FPGA implementation of self organizing map with digital phase locked loops
Hiroomi Hikawa

Rich dynamics of pulse-coupled spiking neurons with a triangular base signal
Yoshio Kon, Toshimichi Saito, and Hiroyuki Torikai

Non-homogenous neural networks with chaotic recursive nodes: Connectivity
and multi-assemblies structures in recursive processing elements
architectures
Emilio Del Moral Hernandez

PATTERN RECOGNITION, PERCEPTION, & MOTOR FUNCTIONS 

A hierarchical classifier using new support vector machines for automatic
target recognition
David Casasent and Yu-Chiang Wang

Neural network model for extracting optic flow
Kazuya Tohyama and Kunihiko Fukushima

On-chip visual perception of motion: A bio-inspired connectionist model on
FPGA
César Torres-Huitzil, Bernard Girau, and Claudio Castellanos-Sánchez

Interactive image data labeling using self-organizing maps in an augmented
reality scenario
Holger Bekel, Gunther Heidemann, and Helge Ritter

Incremental learning of feature space and classifier for face recognition
Seiichi Ozawa, Soon Lee Toh, Shigeo Abe, Shaoning Pang, and Nikola Kasabov

Generalized 2D principal component analysis for face image representation
and recognition
Hui Kong, Lei Wang, Eam Khwang Teoh, Xuchun Li, Jian-Gang Wang, and Ronda
Venkateswarlu

Training neural networks with heterogeneous data
John A. Drakopoulos and Ahmad Abdulkader

Framewise phoneme classification with bidirectional LSTM and other neural
network architectures
Alex Graves and Jürgen Schmidhuber

COGNITIVE FUNCTIONS 

Subfield variations in hippocampal processing-components of a spatial
navigation system
Matthew Hartley, Neill Taylor, and John Taylor

Modelling divided visual attention with a winner-take-all network
Dominic I. Standage, Thomas P. Trappenberg, and Raymond M. Klein

Dynamical systems and cognitive linguistics toward an active morphodynamical
semantics
René Doursat and Jean Petitot

Neural dynamics of psychotherapy: What modeling might tell us about us
Ana Maria C. Aleksandrowicz and Daniel S. Levine

Model of multi-modal cortical processing: Coherent learning in self
organizing modules
Oivier Ménard and Hervé Frezza-Buet

The contribution of active body movement to visual development in
evolutionary robots
Mototaka Suzuki, Dario Floreano, and Ezequiel A. Di Paolo

Application of neural network to humanoid robotics: Development of
co-associative memory model
Kazuko Itoh, Hiroyasu Miwa, Hideaki Takanobu, and Atsuo Takanish

ADAPTATION AND DECISION MAKING 

Constructing Bayesian formulations of sparse kernel learning methods
Gavin C. Cawley and Nicola L.C. Talbot

Handling missing values in support vector machine classifiers
K. Pelckmans, J.A.K. Suykens, B. De Mor, and J. De Brabanter

Bayesian approach to feature selection and parameter tuning for support
vector machine classifiers
Carl Gold, Alex Holub, and Peter Sollich

Improving dimensionality reduction with spectral gradient descent 
Roland Memisevic and Geoffrey Hinton

Unifying cost and information in information-theoretic competitive learning
Ryotaro Kamimura

A new classifier based on information theoretic learning with unlabeled data
Kyu-Hwa Jeong, Jian-Wu Xu, Deniz Erdogmus, and Jose C. Principe

Cross-entropy embedding of high-dimensional data using the neural gas model
Pablo A. Estévez, Cristián J. Figueroa, and Kazumi Saito

A model of evolution and learning
Vladmir G. Red’ko, Oleg P. Mosalov, and Danil V. Prokhorov

A regenerating spiking neural network
Diego Federici

Recurrent neural networks with backtrack-points and negative reinforcement
applied to cost-based abduction
Ashraf M. Abdelbar, Mostafa A El-Hemaly, Emad A.M. Andrews, and Donald C.
Wunsch II

APPLICATIONS 

Broadcast scheduling in wireless multihop networks using a neural-network
based hybrid algorithm
Haixiang Shi and Lipo Wang

The control of a parallel hybrid-electric propulsion system for a small
unmanned aerial vehicle using a CMAC neural network
Frederick G. Harmon, Andrew A. Prank, and Sanjay S. Joshi

A comparative study of autoregressive neural network hybrids
Tugba Taskaya-Temizel and Matthew C. Casey

Efficient streaming text clustering
Shi Zhong

Efficient information theoretic strategies for classifier combination,
feature extraction and performance evaluation in improving false positives
and false negatives for spam e-mail filtering
V. Zorkadis, D.A. Karras, and M. Panayotou

Modelling ordinal relations with SVMs: An application to objective aesthetic
evaluation of breast cancer conservative treatment
Jaime S. Cardoso, Joaquim F. Pinto da Costa, and Maria J. Cardoso

Ovarian cancer diagnosis by hippocampus and neocortex-inspired learning
memory structures
T.Z. Tan, C. Quek, and G.S. Ng

Individualization of pharmacological anemia management using reinforcement
learning
Adam E. Gaweda, Mehmet K. Muezzinoglu, George R. Aronoff, Alfred A. Jacobs,
Jacek M. Zurada, and Michael E. Brier

Identification of motifs with insertions and deletions in protein sequences
using self-organizing neural networks
Derong Liu, Xiaoxu Xiong, Zeng-Guang Hou, and Bhaskar DasGupta

Bayesian model selection for mining mass spectrometry data
Anshu Saksena, Dennis Lucarelli, and I-Jeng Wang

Refining competition in the self-organising tree map for unsupervised
biofilm image segmentation
Matthew Kyan, Ling Guan, and Steven Liss

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