Inferring subjective preferences on robot trajectories using EEG signals
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Flankers can strongly deteriorate performance on a target (crowding). The neural mechanisms of crowding are largely unknown. We have recently shown that the N1 component of the EEG is suppressed during crowding. Because it is difficult to disentangle the n ...
ASSOCIATION FOR RESEARCH IN VISION & OPHTHALMOLOGY2014
Purpose: Following limb amputation, central and peripheral nervous system relays partially maintain their functions and can be exploited for interfacing prostheses. The aim of this study is to investigate, for the first time by means of an EEG-TMS co-regis ...
2014
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Calibration of brain-machine interfaces exploiting event-related potentials has to be performed for each experimental paradigm. Even if these signals have been used in previous experiments with different protocols. We show that use of signals from previous ...
2014
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Early detection of movement intention could possibly minimize the delays in the activation of neuroprosthetic devices. As yet, single trial analysis using non-invasive approaches for understanding such movement preparation remains a challenging task. We st ...
In visual crowding, neighboring elements deteriorate performance on a target. The neural mechanisms of crowding are largely unknown. We have recently shown that the N1 component of the EEG is suppressed during crowding. It is difficult to disentangle the p ...
Visual search is a good illustration about how the brain coordinates a variety of functions such as visual clues extraction from the scene, coordination of the eye-movements, accumu- lation of visual information and visual recognition. It has an important ...
At the current stage, Brain-Computer Interfaces (BCIs) represent a promising technology for communication and control of assistive devices as well as for the clinical motor rehabilitation after a stroke. Current BCI systems may be divided in two main typol ...
One of the main problems of EEG-based brain computer interfaces (BCIs) is their low information rate, thus for complex tasks the user needs large amounts of time to solve the task. In an attempt to reduce this time and improve the application robustness, r ...
We revisit the framework for brain-coupled image search, where the Electroencephalography (EEG) channel under rapid serial visual presentation protocol is used to detect user preferences. Extending previous works on the synergy between content-based image ...
In crowding, neighboring elements deteriorate performance on a target. The neural mechanisms of crowding are largely unknown. We have recently shown that the N1 component of the EEG is suppressed during crowding. It is difficult to disentangle the processi ...