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Person Authentication using Brainwaves (EEG) and Maximum A Posteriori Model Adaptation

Related publications (40)

Global brain dynamics under visual entrainment

Cognitive and perceptual functions depend on the momentary dynamics of the brain. A typical approach to investigate these dynamics is through the so-called method of entrainment. In entrainment, a rhythmic stimulation (e.g., a periodic visual or auditory s ...

2022

Gel-Free Wearable Electroencephalography (EEG) with Soft Graphene Textiles

Ata Jedari Golparvar

Attaching rigid wearables to ones skin may be socially challenging to be accustomed since their wearers may feel vulnerable with compromising their privacy, especially if the device is for tracking neurological or medical conditions. The development of fle ...

IEEE2021

A guideline for linking brain wave findings to the various aspects of discrete perception

Michael Herzog, Maëlan Quentin Menétrey, Lukas Vogelsang

Brain waves, determined by electrical and magnetic brain recordings (e.g., EEG and MEG), and fluctuating behavioral responses, determined by response time or accuracy measures, are frequently taken to support discrete perception. For example, it has been p ...

2021

Exploring the relative efficacy of motion artefact correction techniques for EEG data acquired during simultaneous fMRI

João Pedro Forjaco Jorge

Simultaneous EEG-fMRI allows multiparametric characterisation of brain function, in principle enabling a more complete understanding of brain responses; unfortunately the hostile MRI environment severely reduces EEG data quality. Simply eliminating data se ...

2019

EEG signatures of schizophrenia: visual backward masking and microstates

Janir Nuno Ramos Antunes Da Cruz

Schizophrenia is a complex and devastating mental disorder that influences how one behaves, feels, and thinks. It affects a little less than 1 % of the world population and it is understood to be partly genetically mediated. Several genetic risk factors of ...

EPFL2019

Electrophysiological correlates of visual backward masking in patients with major depressive disorder

Michael Herzog, Maya Roinishvili, Ophélie Gladys Favrod, Patricia Figueiredo, Janir Nuno Ramos Antunes Da Cruz

Depression and schizophrenia are two psychiatric diseases with high co-morbidity. For this reason, it is important to find sensitive endophenotypes, which may disentangle the two disorders. The Shine-Through paradigm, a visual backward masking task, is a p ...

2019

A Multifaceted Approach to Covert Attention Brain-Computer Interfaces

Christoph Schneider

Over the last years, brain-computer interfaces (BCIs) have shown their value for assistive technology and neurorehabilitation. Recently, a BCI-approach for the rehabilitation of hemispatial neglect has been proposed on the basis of covert visuospatial atte ...

EPFL2018

Novice Shooters With Lower Pre-shooting Alpha Power Have Better Performance During Competition in a Virtual Reality Scenario

José del Rocio Millán Ruiz, Michael Eric Anthony Pereira

Competition changes the environment for athletes. The difficulty of training for such stressful events can lead to the well-known effect of “choking” under pressure, which prevents athletes from performing at their best level. To study the effect of compet ...

2018

Visual backward masking in siblings of schizophrenia patients: evidence for a compensation mechanism

Michael Herzog, Maya Roinishvili, Patricia Figueiredo

Visual backward masking (VBM) is a very sensitive endophenotype of schizophrenia. Masking deficits are highly correlated with reduced EEG amplitudes. In VBM, a target stimulus is followed by a mask, which decreases performance on the target. Here, we inves ...

2017

Simultaneous EEG-fMRI at ultra-high field for the study of human brain function

João Pedro Forjaco Jorge

Scalp electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) have highly complementary domains, and their combination has been actively sought within neuroscience research. The important gains in fMRI sensitivity achieved with higher ...

EPFL2016

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