Concept

Early left anterior negativity

Publications associées (47)

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Customizing the human-avatar mapping based on EEG error related potentials during avatar-based interaction.

Olaf Blanke, José del Rocio Millán Ruiz, Ronan Boulic, Bruno Herbelin, Ricardo Andres Chavarriaga Lozano, Fumiaki Iwane

Objective. A key challenge of virtual reality (VR) applications is to maintain a reliable human-avatar mapping. Users may lose the sense of controlling (sense of agency), owning (sense of body ownership), or being located (sense of self-location) inside th ...

2024

Movement-Related Cortical Potentials in Embodied Virtual Mirror Visual Feedback

Gangadhar Garipelli, Tamara Rossy

Background: Mirror therapy is thought to drive interhemispheric communication, resulting in a balanced activation. We hypothesized that embodied virtual mirror visual feedback (VR-MVF) presented on a computer screen may produce a similar activation. In thi ...

FRONTIERS MEDIA SA2021

We consider the problem of non-negative super-resolution, which concerns reconstructing a non-negative signal x = Sigma(k )(i=1)a(i)delta(ti) from m samples of its convolution with a window function phi(s - t), of the form y(s(j)) = Sigma(k)(i=1) a(i) phi( ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2021

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Neural dynamics of the competition between grouping organizations have been studied to a limited extent. The paradigms used so far confounded grouping operations with task demands, using explicit reports of the predominantly perceived organization and bias ...

SAGE PUBLICATIONS LTD2019

Neural correlates of target enhancement

Michael Herzog, Ophélie Gladys Favrod, Patricia Figueiredo, Janir Nuno Ramos Antunes Da Cruz, Phillip Ready Johnston

When a task-relevant stimulus is presented for a brief duration or with low contrast, neural enhancement is needed to boost the weak responses to the target. Otherwise, the stimulus goes unnoticed, which is the default when the stimulus is task-irrelevant. ...

2019

Time course of prediction errors in sequential decision making

Michael Herzog, He Xu

In reinforcement learning, an agent makes sequential decisions to maximize reward. During learning, the actual and expected outcome are compared to tell whether a decision was good or bad. The difference between the actual outcome and expected outcome is t ...

2018

Aiming at the improvement of a dense urban area's microclimatic conditions, this study examines by simulation means, the application of highly reflective materials as a mitigation strategy. However, as significant albedo changes may occur due to weathering ...

ELSEVIER SCIENCE BV2018

Neural Correlates of Sequential Decision Making

Michael Herzog, He Xu

In chess, a series of moves is made until a delayed sparse feedback (win, loss) is issued, which makes it impossible to evaluate the value of a single move. There are powerful reinforcement learning (RL) algorithms, which can cope with these sequential dec ...

2017

Neural Correlates of Sequential Decision Making

Michael Herzog, He Xu

2017

Spatiotemporal Dynamics of the Cortical Responses Induced by a Prolonged Tactile Stimulation of the Human Fingertips

Silvestro Micera, Fiorenzo Artoni

The sense of touch is fundamental for daily behavior. The aim of this work is to understand the neural network responsible for touch processing during a prolonged tactile stimulation, delivered by means of a mechatronic platform by passively sliding a ridg ...

2017