The current variety of data from neuronal recordings, collected with heterogeneous experimental techniques and setups, poses the challenge to consistently compare data across experiments, species, and spatio-temporal scales, and to provide standardized measures/observables for model validation and calibration. We developed Cobrawap (Collaborative Brain Wave Analysis Pipeline) to achieve these goals in the context of brain wave analysis. Aiming at facilitating the usage of this tool for an extended community of users, we are pointing at providing Cobrawap as a service accessible through the EBRAINS web portal, leveraging computational resources from High-Performance Computing (HPC) platforms belonging to the FENIX-ICEI federation
Making progress in neuroscience is increasingly a collaborative effort that requires insights obtain...
Heterogeneous data from electrophysiological experiments and spiking neural network simulations exhi...
In this thesis, inspired by the development of the Brain-computer-interface (BCI) technology, we pre...
The current variety of data from neuronal recordings, collected with heterogeneous experimental tech...
Introduction:An unprecedented richness of data and methodologies enables more detailed access to neu...
The expanding availability and variety of data and methodologies represent a great opportunity to ac...
Although brain waves have been studied for a long time, the complex spatial dynamics of such waves b...
EEG research is often impeded due to a lack of large-scale standardized data sets that can be used f...
<p>Electroencephalography (EEG) offers information about brain function relevant to a variety of neu...
Despite their wide adoption for conducting experiments in numerous domains, neurophysiological measu...
Collecting data allows researchers to store and analyze important information about activities, even...
EBRAINS is a European research infrastructure for neuroscience which allows scientists to explore da...
Analyzing Electroencephalogram (EEG) signals and ERP event-related potentials (ERP) can lead to insi...
The main objective of this project is to understand more about the brain activities, and then from t...
International audienceIntracranial EEG (iEEG) performed during the pre-surgical evaluation of refrac...
Making progress in neuroscience is increasingly a collaborative effort that requires insights obtain...
Heterogeneous data from electrophysiological experiments and spiking neural network simulations exhi...
In this thesis, inspired by the development of the Brain-computer-interface (BCI) technology, we pre...
The current variety of data from neuronal recordings, collected with heterogeneous experimental tech...
Introduction:An unprecedented richness of data and methodologies enables more detailed access to neu...
The expanding availability and variety of data and methodologies represent a great opportunity to ac...
Although brain waves have been studied for a long time, the complex spatial dynamics of such waves b...
EEG research is often impeded due to a lack of large-scale standardized data sets that can be used f...
<p>Electroencephalography (EEG) offers information about brain function relevant to a variety of neu...
Despite their wide adoption for conducting experiments in numerous domains, neurophysiological measu...
Collecting data allows researchers to store and analyze important information about activities, even...
EBRAINS is a European research infrastructure for neuroscience which allows scientists to explore da...
Analyzing Electroencephalogram (EEG) signals and ERP event-related potentials (ERP) can lead to insi...
The main objective of this project is to understand more about the brain activities, and then from t...
International audienceIntracranial EEG (iEEG) performed during the pre-surgical evaluation of refrac...
Making progress in neuroscience is increasingly a collaborative effort that requires insights obtain...
Heterogeneous data from electrophysiological experiments and spiking neural network simulations exhi...
In this thesis, inspired by the development of the Brain-computer-interface (BCI) technology, we pre...