Discover datasets

This derivative dataset contains processed MEG data from a study investigating the neural mechanisms of model-based aversive learning in humans. The research examines how task state representations are preferentially reactivated during aversive learning, providing insights into the computational and neural basis of threat-related decision-making and learning processes.

Size

301 GB

Updated

Jun 22, 2026

…https://doi.org/10.1016/j.cortex.2023.08.004 Analysis code…

Citations

1

Size

39.1 GB

Updated

Jun 25, 2026

This dataset contains electroencephalography (EEG) recordings collected to investigate the precise cortical contributions to feedback sensorimotor control during reactive balance tasks. The data supports research examining how the brain processes sensory feedback and generates motor commands to maintain postural stability in response to perturbations.

Size

351 MB

Updated

Jun 25, 2026

…10.1016/j.cortex.2017.02.021. EEG published here: 10.1016…

Citations

1

Size

22.3 GB

Updated

Jun 22, 2026

An EEG study investigating the effects of episodic future thinking on temporal discounting behavior. Participants generated descriptions of future events and subsequently used mental imagery of these events as cues during intertemporal choice tasks, with concurrent measurement of imagery vividness. This dataset provides neurophysiological recordings during decision-making processes influenced by prospective cognition.

Size

16.1 GB

Updated

Jun 18, 2026

…The classifier patterns indicate that mainly premotor areas, primary motor cortex, somatosensory…

Citations

95

Size

8.54 GB

Updated

May 18, 2026

This randomized controlled trial investigates the differential effects of forward and backward span training on working memory capacity. Event-related potentials (ERPs) were recorded during a distractor version of the change detection task at pre-, mid-, and post-test timepoints, while behavioral measures were collected from additional cognitive tasks. The study demonstrates that both training types enhance working memory maintenance compared to control conditions, with backward span training providing superior benefits for interference control based on ERP indices.

Citations

1

Size

77.1 GB

Updated

Jun 23, 2026

Participants

33

…10.1016/j.cortex.2017.02.021. EEG published here: 10.1016…

Citations

2

Size

16.2 GB

Updated

Jun 22, 2026

Brain Treebank is a large-scale intracranial EEG dataset comprising 43 hours of iEEG recordings from 10 epilepsy patients watching naturalistic Hollywood movies, with 1,688 electrodes sampled at 2048 Hz. The dataset includes time-aligned linguistic annotations with word-level transcripts and Universal Dependencies syntax trees, providing a unique resource for studying neural language processing during naturalistic stimulation.

Size

508 GB

Updated

Jun 8, 2026