Advances in Artificial Neural Systems

Hopfield Neural Networks with Unbounded Monotone Activation Functions

Advances in Unsupervised Learning Techniques Applied to Biosciences and Medicine

A Radial Basis Function Spike Model for Indirect Learning via Integrate-and-Fire Sampling and Reconstruction Techniques

Evaluation of a Nonrigid Motion Compensation Technique Based on Spatiotemporal Features for Small Lesion Detection in Breast MRI

Activation Detection on fMRI Time Series Using Hidden Markov Model

Hemodialysis Key Features Mining and Patients Clustering Technologies

Combining Neural Methods and Knowledge-Based Methods in Accident Management

Sleep Stage Classification Using Unsupervised Feature Learning

Selection of Spatiotemporal Features in Breast MRI to Differentiate between Malignant and Benign Small Lesions Using Computer-Aided Diagnosis

Modelling Biological Systems with Competitive Coherence

Unsupervised Neural Techniques Applied to MR Brain Image Segmentation

Measuring Non-Gaussianity by Phi-Transformed and Fuzzy Histograms

Methodological Triangulation Using Neural Networks for Business Research

Dynamical Behavior in a Four-Dimensional Neural Network Model with Delay

Advances in Artificial Neural Systems

Table of Contents

Table of Contents: 2012

Hopfield Neural Networks with Unbounded Monotone Activation Functions

Advances in Unsupervised Learning Techniques Applied to Biosciences and Medicine

A Radial Basis Function Spike Model for Indirect Learning via Integrate-and-Fire Sampling and Reconstruction Techniques

Evaluation of a Nonrigid Motion Compensation Technique Based on Spatiotemporal Features for Small Lesion Detection in Breast MRI

Activation Detection on fMRI Time Series Using Hidden Markov Model

Hemodialysis Key Features Mining and Patients Clustering Technologies

Combining Neural Methods and Knowledge-Based Methods in Accident Management

Sleep Stage Classification Using Unsupervised Feature Learning

Selection of Spatiotemporal Features in Breast MRI to Differentiate between Malignant and Benign Small Lesions Using Computer-Aided Diagnosis

Modelling Biological Systems with Competitive Coherence

Unsupervised Neural Techniques Applied to MR Brain Image Segmentation

Measuring Non-Gaussianity by Phi-Transformed and Fuzzy Histograms

Methodological Triangulation Using Neural Networks for Business Research

Dynamical Behavior in a Four-Dimensional Neural Network Model with Delay