Concept
Neurofeedback
Publications associées (293)
Peri-personal space encoding in patients with disorders of consciousness and cognitive-motor dissociation
José del Rocio Millán Ruiz, Andrea Serino, Maria Manuela da Silva Marques, Serafeim Perdikis, Jean-Paul Noel
Behavioral assessments of consciousness based on overt command following cannot differentiate patients with disorders of consciousness (DOC) from those who demonstrate a dissociation between intent/awareness and motor capacity: cognitive motor dissociation ...
ELSEVIER SCI LTD2019Cortical reactive balance responses to unexpected slippages while walking: a pilot study
Silvestro Micera, Daniela De Venuto
Understanding how the human brain cortex behaves when the dynamical balance is unexpectedly challenged can be useful to enable fall prevention strategies during daily activities. In this respect, we designed and tested a novel methodological approach to ea ...
IEEE2019EEG microstates in schizophrenia: a candidate endophenotype
Michael Herzog, Christine Mohr, Maya Roinishvili, Ophélie Gladys Favrod, Patricia Figueiredo
Objective: Electroencephalogram (EEG) microstates are on-going scalp potential configurations that remain stable for around 80 ms. Abnormal temporal dynamics of specific classes of microstates have been suggested as a potential endophenotype for schizophre ...
2019EEG microstates and the schizophrenia spectrum: evidence for compensation mechanisms
Michael Herzog, Christine Mohr, Maya Roinishvili, Ophélie Gladys Favrod, Patricia Figueiredo
Introduction: Electroencephalogram (EEG) microstates are on-going scalp potential configurations that remain stable for around 80 ms (1). Four recurrent and dominant classes of microstates (labeled A-D) are observed in resting-state EEG, explaining around ...
2019How collective asperity detachments nucleate slip at frictional interfaces
Matthieu Wyart, Thomas Willem Jan de Geus, Wencheng Ji, Marko Popovic
Sliding at a quasi-statically loaded frictional interface can occur via macroscopic slip events, which nucleate locally before propagating as rupture fronts very similar to fracture. We introduce a microscopic model of a frictional interface that includes ...
NATL ACAD SCIENCES2019Analysis of EEG Correlates of Perceived Difficulty in Dynamically Changing Flying Tasks
José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Ping-Keng Jao
Real-time workload estimation can be an important tool to improve human-machine interaction. Despite multiple efforts in this sense, most studies focused on tasks designed to have extreme conditions of workload (high vs low), and these levels remain rather ...
2018Analysis of EEG Correlates of Perceived Difficulty in Dynamically Changing Flying Tasks
José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Ping-Keng Jao
Real-time workload estimation can be an important tool to improve human-machine interaction. Despite multiple efforts in this sense, most studies focused on tasks designed to have extreme conditions of workload (high vs low), and these levels remain rather ...
IEEE2018"Do you feel in control?": Towards Novel Approaches to Characterise, Manipulate and Measure the Sense of Agency in Virtual Environments
Louis Philippe Albert, Camille Marie Jeunet
While the Sense of Agency (SoA) has so far been predominantly characterised in VR as a component of the Sense of Embodiment, other communities (e.g., in psychology or neurosciences) have investigated the SoA from a different perspective proposing complemen ...
2018Bilateral cortical representation of tactile roughness
Silvestro Micera, Fiorenzo Artoni
Roughness is the most important feature for texture discrimination. Here we investigate how the bilateral cortical representation of touch is modulated by tactile roughness by analyzing the neural responses elicited by stimuli with various coarseness level ...
2018Deep Learning of Human Perception in Audio Event Classification
In this paper, we introduce our recent studies on human perception in audio event classification. In particular, the pre-trained model VGGish is used as feature extractor to process audio data, and DenseNet is trained by and used as feature extractor for o ...
IEEE2018