…adding a rich layer of interpretation to the EEG and behavioral data…
This derivative dataset redistributes, unchanged, 20 per-patient feature tables computed from the Freiburg intracranial EEG database for epilepsy analysis. Each row is a 2-s sliding window (1-s step) with 1080 univariate and bivariate features, extracted from six electrodes (three in the epileptic focus, three outside it) across six frequency bands. Windows are labelled as pre-ictal, ictal, post-ictal or inter-ictal, so the tables can be used to train machine-learning models for seizure detection. No raw recordings are included.
…adding a rich layer of interpretation to the EEG and behavioral data…
Human EEG recordings from 20 participants viewing rapid sequences of overlaid oriented grating pairs while detecting a target grating of a specific orientation. Feature-based attention was manipulated by cueing one of two gratings by colour, and temporal expectation was manipulated by making stimulus onset timing predictable or unpredictable. The dataset supports investigation of the time-course of attention effects dissociated from temporal expectation and target-related processes.
…adding a rich layer of interpretation to the EEG and behavioral data…
Raw and preprocessed magnetoencephalography (MEG) recordings from participants viewing objects that moved along trajectories and were either occluded or disappeared. The dataset supports investigation of how the brain represents objects during dynamic occlusion. It includes behavioural and eye-tracking data as source data, and preprocessed epochs in CoSMoMVPA format.
…adding a rich layer of interpretation to the EEG and behavioral data…
…adding a rich layer of interpretation to the EEG and behavioral data…
This EEG dataset contains recordings from two experiments in which participants listened to noise bursts presented from loudspeakers at different elevations in a hemi-anechoic chamber. Experiment 1 was a deviant detection task with adapter and probe sounds, and Experiment 2 was a one-back localization task. Participants first completed a behavioral test of their ability to localize elevated sound sources. The dataset supports research on how sound source elevation is encoded in human auditory cortex.
…adding a rich layer of interpretation to the EEG and behavioral data…