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Comparative Analysis of Spectral Approaches to Feature Extraction for EEG-Based Motor Imagery Classification
TLDR
The quantification of the spectral content of electroencephalogram (EEG) recordings has a substantial role in clinical and scientific applications. Expand
The sound-induced flash illusion reveals dissociable age-related effects in multisensory integration
While aging can lead to significant declines in perceptual and cognitive function, the effects of age on multisensory integration, the process in which the brain combines information across theExpand
A time-series prediction approach for feature extraction in a brain-computer interface
TLDR
This paper presents a feature extraction procedure (FEP) for a brain-computer interface (BCI) application where features are extracted from the electroencephalogram (EEG) recorded from subjects performing right and left motor imagery. Expand
An online supervised learning method for spiking neural networks with adaptive structure
TLDR
A novel online learning algorithm for Spiking Neural Networks (SNNs) with dynamically adaptive structure is presented. Expand
SpikeTemp: An Enhanced Rank-Order-Based Learning Approach for Spiking Neural Networks With Adaptive Structure
TLDR
This paper presents an enhanced rank-order-based learning algorithm, called SpikeTemp, for spiking neural networks (SNNs) with a dynamically adaptive structure. Expand
Material classification based on thermal properties — A robot and human evaluation
TLDR
This paper describes a system that classifies materials based on thermal properties alone, minimising the amount of manipulation required. Expand
Chromaticity Space for Illuminant Invariant Recognition
TLDR
In this paper, an algorithm is proposed to extract two illuminant invariant chromaticity features from three image sensor responses. Expand
Advances in Design and Application of Spiking Neural Networks
TLDR
This paper presents new findings in the design and application of biologically plausible neural networks based on spiking neuron models, which represent a more plausible model of real biological neurons where time is considered as an important feature for information encoding and processing in the brain. Expand
Gray matter concentration and effective connectivity changes in Alzheimer’s disease: a longitudinal structural MRI study
IntroductionUnderstanding disease progression in Alzheimer’s disease (AD) awaits the resolution of three fundamental questions: first, can we identify the location of “seed” regions whereExpand
Investigation of the Type-2 Fuzzy Logic Approach to Classification in an EEG-based Brain-Computer Interface
TLDR
Analysis of electroencephalogram (EEG) requires a framework that facilitates handling the uncertainties associated with the varying brain dynamics. Expand
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