Concept

Awareness

Publications associées (40)

Impact of a mindfulness-based intervention on neurobehavioral functioning and its association with large-scale brain networks in preterm young adolescents

Dimitri Nestor Alice Van De Ville, Vanessa Siffredi, Natalia Fernandez, Petra Susan Hüppi

Aim: Adolescents born very preterm (VPT;

Wiley2024

Me, Myself, and I: Neural Activity for Self versus Other across Development

Solange Noémie Jeanne Denervaud, Paola Zanchi

Although adults and children differ in self-vs.-other perception, a developmental perspective on this discriminative ability at the brain level is missing. This study examined neural activation for self-vs.-other in a sample of 39 participants spanning fou ...

Basel2023

TMS-induced control of bodily self-consciousness by combining non-invasive brain stimulation and immersive virtual reality

Matteo Franza

Our brain constantly receives and integrates a flow of sensory and motor information that shapes the way our body is represented. Several experimental approaches have been proposed to alter the body representation, by manipulating exteroceptive or interoce ...

EPFL2020

Real-time EEG Feedback on Alpha Power Lateralization Leads to Behavioral Improvements in a Covert Attention Task

José del Rocio Millán Ruiz, Luca Tonin, Michael Eric Anthony Pereira, Christoph Schneider

Visual attention can be spatially oriented, even in the absence of saccadic eye-movements, to facilitate the processing of incoming visual information. One behavioral proxy for this so-called covert visuospatial attention (CVSA) is the validity effect (VE) ...

SPRINGER2020

Heartbeat-evoked cortical responses: Underlying mechanisms, functional roles, and methodological considerations

Olaf Blanke, Hyeongdong Park

The heart continuously and cyclically communicates with the brain. Beyond homeostatic regulation and sensing, recent neuroscience research has started to shed light on brain-heart interactions in diverse cognitive and emotional processes. In particular, ne ...

2019

Context-Aware Emotion Recognition Networks

Seungryong Kim, Jiyoung Lee

Traditional techniques for emotion recognition have focused on the facial expression analysis only, thus providing limited ability to encode context that comprehensively represents the emotional responses. We present deep networks for context-aware emotion ...

IEEE2019

Bridging the Gap between Semantics and Multimedia Processing

Roberto Gerson De Albuquerque Azevedo

In this paper, we overview the semantic gap problem in multimedia and discuss how machine learning and symbolic AI can be combined to narrow this gap. We describe the semantic gap in terms of a classical architecture for multimedia processing and discuss a ...

IEEE2019

Multisensory perceptual awareness: Categorical or graded?

Olaf Blanke, Nathan Quentin Faivre, Jean-Paul Noel

Neural evidence suggests that mechanisms associated with conscious access (i.e., the ability to report on a conscious state) are “all-or-none”. Upon crossing some threshold, neural signals are globally broadcast throughout the brain and allow conscious rep ...

2019

Deep Drone Racing: From Simulation to Reality with Domain Randomization

Davide Scaramuzza

Dynamically changing environments, unreliable state estimation, and operation under severe resource constraints are fundamental challenges for robotics, which still limit the deployment of small autonomous drones. We address these challenges in the context ...

2019

Motor Attempt EEG Paradigm As a Diagnostic Tool for Disorders of Consciousness

José del Rocio Millán Ruiz, Serafeim Perdikis, Christoph Schneider

To investigate whether a motor attempt EEG paradigm coupled with functional electrical stimulation can detect command following and, therefore, signs of conscious awareness in patients with disorders of consciousness, we recorded nine patients admitted to ...

2018

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