Radboud University

18 Abonné

open data meg eeg open science neuroimaging bids fieldtrip neuroscience open access open source mri fair fmri data sharing privacy big data irods hcp matlab github gdpr eeglab donders radboud rdm bci hackathon python data connectivity standards glioma source localization source reconstruction network analysis powerspectrum spectral radboud university donders institute repository maastricht identification pseudonomization anonymous osr ohbm lsl synchronization fnirs nirs tfr ersp erp api group analysis data analysis best practices hbm ageing biomag deidentification data management plan mne-python university research frmi realtime control brain real-time sharing data science art technology synthesizer

Tout plus

Activité
À propos

Radboud University

Présentations

EEGSynth pitch for brainhack@paris

Donders Institute - Research Data Management

Group analyses with FieldTrip

On the large scale of studying dynamics with MEG: Lessons learned from the Human Connectome Project

EEG signal background and real-time processing

Real-time EEG: timing and block size

Donders Research Data Repository

RDM and the Donders Repository

Donders Repository - removing barriers for management and sharing of research data

Using Open Science to accelerate advancements in auditory EEG signal processing

ChildBrain/Predictable summer school - Open Science

CuttingEEG - Open Science, Open Data and BIDS for EEG

BIOMAG2018 - Darren Price - CamCAN

BIOMAG2018 - Jan-Mathijs Schoffelen - COBIDAS

BIOMAG2018 - Vladimir Litvak - Frontiers

BIOMAG2018 - Tzvetan Popov - HCP from a user's perspective

BIOMAG2018 - Denis Engemann - MNE-HCP

Organizing EEG data using the Brain Imaging Data Structure

The Brain Imaging Data Structure and its use for fNIRS

OHBM 2020 OSR - Brain research data sharing and personal data privacy

Using Open Science to advance science - advancing open data

The Donders Repository

Donders neuroimage toolkit - open science and good practices

EEG, MEG and FieldTrip

Spectral-, source-, connectivity- and network analysis of EEG and MEG data

Connecting GLIMR with the BIDS initiative

Developing and sharing tools for bioelectromagnetic research