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A rotation invariant approach on static-gesture recognition using boundary histograms and neural networks
The appropriate selection of feature extraction method plays an important role in designing a pattern recognition system. The proper representation of features contributes to a significantExpand
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Fast and adaptive network of spiking neurons for multi-view visual pattern recognition
In this paper, we describe and evaluate a new spiking neural network (SNN) architecture and its corresponding learning procedure to perform fast and adaptive multi-view visual pattern recognition.Expand
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Evolving spiking neural networks for audiovisual information processing
This paper presents a new modular and integrative sensory information system inspired by the way the brain performs information processing, in particular, pattern recognition. Spiking neural networksExpand
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On-Line Learning with Structural Adaptation in a Network of Spiking Neurons for Visual Pattern Recognition
This paper presents an on-line training procedure for a hierarchical neural network of integrate-and-fire neurons. The training is done through synaptic plasticity and changes in the networkExpand
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Adaptive Learning Procedure for a Network of Spiking Neurons and Visual Pattern Recognition
This paper presents a novel on-line learning procedure to be used in biologically realistic networks of integrate-and-fire neurons. The on-line adaptation is based on synaptic plasticity and changesExpand
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Evolving spiking neural networks for taste recognition
The paper investigates the use of the spiking neural networks for taste recognition in a simple artificial gustatory model. We present an approach based on simple integrate-and-fire neurons with rankExpand
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Text-Independent Speaker Authentication with Spiking Neural Networks
This paper presents a novel system that performs text-independent speaker authentication using new spiking neural network (SNN) architectures. Each speaker is represented by a set of prototypeExpand
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Evolving spiking neural networks for adaptive audiovisual pattern recognition
........................................................................................................................viii Chapter 1 IntroductionExpand
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Computational Neurogenetic Modelling: a Pathway to New Discoveries in Genetic Neuroscience
The paper presents a methodology for using computational neurogenetic modelling (CNGM) to bring new original insights into how genes influence the dynamics of brain neural networks. CNGM is a novelExpand
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