Data uploaded here belongs to the manuscript "Magnetoencephalographic Signatures of Hierarchical Rule Learning in Newborns" (https://www.biorxiv.org/content/10.1101/2020.04.28.065482v1). It is processed MEG data and an R script, used for the analysis described in the manuscript. The content of the folder is further described in a README text file. For more information or additional data/code, please contact the authors
The dataset consists of 169 multichannel EEG files of 1-hour in duration, recorded from 53 full-term...
ObjectiveThe deep medullary veins (DMVs) can be evaluated using susceptibility-weighted imaging (SWI...
This dataset includes the raw materials & scripts (listed below) that were used in the paper "The co...
Data uploaded here belongs to the manuscript "Magnetoencephalographic Signatures of Conscious Proces...
Magnetoencephalographic (MEG) recordings are a rich source of information about the neural dynamics ...
BACKGROUND: Secondary and retrospective use of hospital-hosted clinical data provides a time- and co...
AbstractMagnetoencephalographic (MEG) recordings are a rich source of information about the neural d...
This paper describes a framework for automated classification and labeling of patterns in electroenc...
Research on the human brain development has seen an upturn in the past years mostly due to novel neu...
This data set contains intracranial EEG data (ASCII format), eye-tracking data from an EyeLink 1000 ...
MEG/EEG/MRI tutorial data for the PhD course Imaging in neuroscience: with a focus on MEG and EEG me...
This Dataset contains the pre-processed EEG recordings gathered from 20 4-month-old and 20 8-month-o...
This dataset contains 833 brain MRI images (T1w and T2w) from infancy and early childhood. The age o...
Behavioural data and code from the preprint "Behavioural variability and cortical electrophysiologic...
Code to accompany paper: JM O'Toole and GB Boylan (2017). NEURAL: quantitative features for newborn...
The dataset consists of 169 multichannel EEG files of 1-hour in duration, recorded from 53 full-term...
ObjectiveThe deep medullary veins (DMVs) can be evaluated using susceptibility-weighted imaging (SWI...
This dataset includes the raw materials & scripts (listed below) that were used in the paper "The co...
Data uploaded here belongs to the manuscript "Magnetoencephalographic Signatures of Conscious Proces...
Magnetoencephalographic (MEG) recordings are a rich source of information about the neural dynamics ...
BACKGROUND: Secondary and retrospective use of hospital-hosted clinical data provides a time- and co...
AbstractMagnetoencephalographic (MEG) recordings are a rich source of information about the neural d...
This paper describes a framework for automated classification and labeling of patterns in electroenc...
Research on the human brain development has seen an upturn in the past years mostly due to novel neu...
This data set contains intracranial EEG data (ASCII format), eye-tracking data from an EyeLink 1000 ...
MEG/EEG/MRI tutorial data for the PhD course Imaging in neuroscience: with a focus on MEG and EEG me...
This Dataset contains the pre-processed EEG recordings gathered from 20 4-month-old and 20 8-month-o...
This dataset contains 833 brain MRI images (T1w and T2w) from infancy and early childhood. The age o...
Behavioural data and code from the preprint "Behavioural variability and cortical electrophysiologic...
Code to accompany paper: JM O'Toole and GB Boylan (2017). NEURAL: quantitative features for newborn...
The dataset consists of 169 multichannel EEG files of 1-hour in duration, recorded from 53 full-term...
ObjectiveThe deep medullary veins (DMVs) can be evaluated using susceptibility-weighted imaging (SWI...
This dataset includes the raw materials & scripts (listed below) that were used in the paper "The co...