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Eye Position Influence on the Parieto‐occipital Area PO (V6) of the Macaque Monkey
The aim of this work was to study the effect of eye position on the activity of neurons of area PO (V6), a cortical region located in the most posterior part of the superior parietal lobule.Expand
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PolyMorph: A P300 Polymorphic Speller
TLDR
P300 is an electric signal emitted by brain about 300 milliseconds after a rare, but relevant-for-the-user event. Expand
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39th Annual European Brain and Behaviour Society Abstracts
The EUROPEAN BRAIN AND BEHAVIOUR SOCIETY has held its 39th Annual General Meeting in Trieste, in the campus next to the Miramare castle and its park, co-hosted by SISSA, the International School forExpand
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Effect of power feature covariance shift on BCI spatial-filtering techniques: A comparative study
TLDR
Stationary Subspace Analysis can improve the models performance and reduce accuracy decline from calibration to test set. Expand
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PolyMorph: Increasing P300 Spelling Efficiency by Selection Matrix Polymorphism and Sentence-Based Predictions
TLDR
This article presents a P300 speller, named PolyMorph, that introduces two major novelties in the field: the selection matrix polymorphism, that reduces the size of selection matrix itself by removing useless symbols, and sentence-based predictions, that exploit all the spelt characters of a sentence to determine the probability of a word. Expand
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Evaluation of Motor Imagery-Based BCI methods in neurorehabilitation of Parkinson’s Disease patients
TLDR
The study reports the performance of Parkinson’s disease (PD) patients to operate Motor-Imagery based Brain-Computer Interface (MI-BCI) and compares three selected pre-processing and classification approaches. Expand
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PolyMorph: Increasing the Spelling Efficiency of P300 by Selection Matrix PolyMorphism and Sentence-Based Predictions
TLDR
A P300 speller, named PolyMorph, which jointly introduces the selection matrix polymorphism (reducing the matrix size by removing useless symbols) and sentence-based predictions (which forecast words on the basis of language statistics) is presented. Expand
Transfer Learning improves MI BCI models classification accuracy in Parkinson's disease patients
TLDR
This study proposes a transfer learning-based multi-session based FBCSP approach which allowed to significantly improve calibration accuracy in MI BCI performed on PD patients. Expand
Performance of EEG Motor-Imagery based spatial filtering methods: A BCI study on Stroke patients
TLDR
The study reports the performance of stroke patients to operate Motor-Imagery based Brain-Computer Interface (MI-BCI) in early post-stroke neurorehabilitation and compares three different BCI spatial filtering techniques. Expand
ID 274 – Separating idea from the action: A standardized low-resolution brain electromagnetic tomography (sLORETA) study
Objective We compared the temporal dynamics of sensory-motor network during the preparation of actual and imagined reaching and tried to separate ideational-to-motor from pure ideational part ofExpand
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