The detection of Steady-State Visual Evoked Potential (SSVEP) responses in the Electroencephalogram (EEG) is a current challenge in signal processing applied on Brain-Computer Int...
Abstract Thesparsenessoftheencodingofstimulibysingle neurons and by populations of neurons is fundamental to understanding the efficiency and capacity of representations in the br...
Leonardo Franco, Edmund T. Rolls, Nikolaos C. Agge...
We report and compare the performance of different learning algorithms based on data from cortical recordings. The task is to predict the orientation of visual stimuli from the ac...
Jan Eichhorn, Andreas S. Tolias, Alexander Zien, M...
The illusion of self-motion induced by moving visual stimuli (“vection”) has typically been attributed to low-level, bottom-up perceptual processes. Therefore, past research h...
— The paper describes an indoor helicopter testbed that allows implementing and testing of bio-inspired control algorithms developed from scientific studies on insects. The heli...
Shuo Han, Andrew D. Straw, Michael H. Dickinson, R...
The problem of human activity recognition via visual stimuli can be approached using manifold learning, since the silhouette (binary) images of a person undergoing a smooth motion...
Tat-Jun Chin, Liang Wang, Konrad Schindler, David ...
Researchers have long argued that an attentional mechanism is required to perform many vision tasks. This paper introduces an attentiona] prototype for early visual processing. Ou...
A commonly used representation of a visual pattern is the set of marginal probability distributions of the output of a bank of filters (Gaussian, Laplacian, Gabor etc...). This re...
Visual and non-visual data are often related through complex, indirect links, thus making the prediction of one from the other difficult. Examples include the partiallyunderstood ...