We present a dataset combining electrophysiology and eye tracking intended as a resource for the investigation of information processing in the developing brain. The dataset includes high-density task-based and task-free EEG, eye tracking, and cognitive and behavioral data collected from 126 individuals (ages: 6-44). The task battery spans both the simple/complex and passive/active dimensions to cover a range of approaches prevalent in modern cognitive neuroscience. The active task paradigms facilitate principled deconstruction of core components of task performance in the developing brain, whereas the passive paradigms permit the examination of intrinsic functional network activity during varying amounts of external stimulation. Alongside ...
Eye tracking is a popular research tool in developmental cognitive neuroscience for studying the dev...
These are the datasets about the experimental group (N=20, where N is the sample size, that is, 20 p...
This book comprises research articles contributed to the Special Issue on “ERP and EEG Markers of Br...
We present a dataset combining electrophysiology and eye tracking intended as a resource for the inv...
We present a dataset combining electrophysiology and eye tracking intended as a resource for the inv...
We present a dataset combining electrophysiology and eye tracking intended as a resource for the inv...
Objective To improve the reliability of detecting EEG responses evoked by complex visual stimuli to ...
The measurement of the electroencephalogram (EEG) provides a rich source of information about the ne...
Most brain related databases bring together specialized information, with a growing number that incl...
In neuroscience, electroencephalography (EEG) data is often used to extract features (biomarkers) to...
Human beings notice differences in their environment and make explicit and implicit differentiations...
This dataset consists of raw 64-channel EEG, cardiovascular (electrocardiography and photoplethysmog...
peer reviewedThe use of human neuroimaging technology provides knowledge about several emotional and...
We present a new machine learning benchmark for reading task classification with the goal of advanci...
Electroencephalography (EEG) has substantial potential value for examining individual differences du...
Eye tracking is a popular research tool in developmental cognitive neuroscience for studying the dev...
These are the datasets about the experimental group (N=20, where N is the sample size, that is, 20 p...
This book comprises research articles contributed to the Special Issue on “ERP and EEG Markers of Br...
We present a dataset combining electrophysiology and eye tracking intended as a resource for the inv...
We present a dataset combining electrophysiology and eye tracking intended as a resource for the inv...
We present a dataset combining electrophysiology and eye tracking intended as a resource for the inv...
Objective To improve the reliability of detecting EEG responses evoked by complex visual stimuli to ...
The measurement of the electroencephalogram (EEG) provides a rich source of information about the ne...
Most brain related databases bring together specialized information, with a growing number that incl...
In neuroscience, electroencephalography (EEG) data is often used to extract features (biomarkers) to...
Human beings notice differences in their environment and make explicit and implicit differentiations...
This dataset consists of raw 64-channel EEG, cardiovascular (electrocardiography and photoplethysmog...
peer reviewedThe use of human neuroimaging technology provides knowledge about several emotional and...
We present a new machine learning benchmark for reading task classification with the goal of advanci...
Electroencephalography (EEG) has substantial potential value for examining individual differences du...
Eye tracking is a popular research tool in developmental cognitive neuroscience for studying the dev...
These are the datasets about the experimental group (N=20, where N is the sample size, that is, 20 p...
This book comprises research articles contributed to the Special Issue on “ERP and EEG Markers of Br...