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Word pair classification during imagined speech using direct brain recordings

Publications associées (94)

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ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification

Mahsa Shoaran, Bingzhao Zhu

Classifiers that can be implemented on chip with minimal computational and memory resources are essential for edge computing in emerging applications such as medical and IoT devices. This paper introduces a machine learning model based on oblique decision ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Dissecting self-voice perception: From bone conduction to robotically-induced self-other voice misattribution in healthy listeners

Pavo Orepic

Inspired by the prominent theory suggesting that auditory-verbal hallucinations (AVH) - the sensation of hearing voices without present speakers - arise as misattribution of inner speech towards external agents, my thesis revolved around self-voice percept ...

EPFL2020

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Competitive state-of-the-art automatic pathological speech intelligibility measures typically rely on regression training on a large number of features, require a large amount of healthy speech training data, or are applicable only to phonetically balanced ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Modern machine learning models with very high accuracy have been shown to be vulnerable to small, adversarially chosen perturbations of the input. Given black-box access to a high-accuracy classifier f, we show how to construct a new classifier g that has ...

ADDISON-WESLEY PUBL CO2020

Introduction For the diagnosis of Parkinson's disease (PD) and atypical parkinsonism (AP) using neuroimaging, structural measures have been largely employed since structural abnormalities are most noticeable in the diseases. Functional abnormalities have b ...

WILEY2020

Background: The timed up and go (TUG) is a test used to assess mobility in older adults and patients with neurological conditions. This study aims to compare brain gray matter (GM) correlates and structural covariance networks associated with the TUG time ...

PERGAMON-ELSEVIER SCIENCE LTD2020

Wireless Power Transfer and Data Communication for Implantable Autonomous Monitoring and Detection of Epilepsy In Vivo

Kerim Türe

The impact of technological advancement became significant and still has an essential role to play in the diagnosis and treatment of diseases. Nowadays, personalized medicine and therapy are on the rise as a consequence of the developed and cheaper medical ...

EPFL2019

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PURPOSE: Dipole antennas that provide high transmit field penetration with large coverage, and their use in a parallel transmit setup, may be advantageous in minimizing B 1+ -field inhomogeneities at ultra-high field, i.e 7T. We have developed and evaluate ...

2019

GABA and glutamate moderate beta-amyloid related functional connectivity in cognitively unimpaired old-aged adults

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti

Background: Effects of beta-amyloid accumulation on neuronal function precede the clinical manifestation of Alzheimer's disease (AD) by years and affect distinct cognitive brain networks. As previous studies suggest a link between beta-amyloid and dysregul ...

ELSEVIER SCI LTD2019

HMM-based Approaches to Model Multichannel Information in Sign Language inspired from Articulatory Features-based Speech Processing

Marzieh Razavi, Sandrine Tornay, Necati Cihan Camgöz

Sign language conveys information through multiple channels, such as hand shape, hand movement, and mouthing. Modeling this multi-channel information is a highly challenging problem. In this paper, we elucidate the link between spoken language and sign lan ...

IEEE2019