Motor imagery brain-computer interfaces (MI-BCI) user training aims at teaching people to control their sensorimotor cortex activity using feedback on the latter, often acquired using electroencephalography (EEG). During training, people are mostly asked to focus their imagery on the sensations associated with a movement, though very little is know...
Neurofeedback (NF) consists in training the self- regulation of some target neural activity. Yet, the neural underpinnings of NF performance remains largely unknown. Here, we investigated Motor Imagery (MI) based NF with EEG, training subjects to regulate motor-related activity in the large β (8-30 Hz) band. We examined the electrophysiological cor...
During neurofeedback (NFB) user training, participants learn to control the feedback associated with specific components of their brain activity, also called neuromarkers, to improve the cognitive abilities related to these neuromarkers, such as attention and mental workload. The recent development of methods to record the activity of several peopl...
Passive brain-computer interfaces (pBCIs) developed within the neuroergonomic field usually aim to improve safety by augmenting human-machine interaction. To accomplish said goal, many pBCIs classify mental states such as mental workload or mental fatigue. An alternative is to forego mental states and aim to predict performance. Despite its drawbac...
Motor imagery-based brain-computer interfaces (MI-BCIs) enable users to control digital devices by performing motor imagery tasks while their brain activity is recorded, typically using electroencephalography. Performing MI is challenging, especially for novices. To tackle this challenge, neurofeedback (NFB) training is frequently used and usually ...
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Machine learning is ready to transform the experimental protocol of birdsong acquisition and playback in ethology and integrative neuroscience. An emerging methodology, known as differentiable digital signal processing (DDSP), allows to train neural networks for machine listening so as to fit the synthesis parameters which correspond to unlabeled a...
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Recent advances in cognitive neurosciences suggest that intrinsic brain networks dynamics are associated with cognitive functioning. Despite this emerging perspective, limited research exists to validate this hypothesis. This Registered Report aimed to specifically test the relationship between intrinsic brain spatio-temporal dynamics and executive...
Abstract The end-stage of amyotrophic lateral sclerosis [ALS] is presumed to be a complete Locked-In Syndrome [cLIS], assuming an internally preserved consciousness that would not be accessible anymore from the outside. However, whether consciousness persists at this stage of ALS remains to be demonstrated. Shifting the perspective from cLIS (presu...
