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General Info: inst-comp-eeg

This dataset contains EEG recordings from participants performing a novel instruction-following task and an accompanying 1-back localizer task, designed to investigate how complex task instructions are represented and implemented in the brain. Each participant completed a single session including 16 blocks of the main instruction-following task, requiring integration or selection of visual features across sequential instruction screens, and 8 blocks of a localizer task. The dataset is intended to support research on instruction-based cognitive control and rule representation.

Participants: 41
Channels: 63 (10-10)
Citations: 5
Size: 57.7 GB
Version: v1.0.0
Updated: Aug 19, 2026

Discover datasets

Multisensory Gamma Entrainment

THINGS-EEG2: A large and rich EEG dataset for modeling human visual object recognition

AlphaDirection1: EEG, ECG, PPG in the resting state and working memory for sequentially and simultaneously presented digits

SpinalExpect_Invasive

General Info: inst-comp-eeg

Assesment of the visual stimuli properties in P300 paradigm

Bluetooth speaker experiment (14 subjects, 6 classes, 31 EEG ch)

Speier et al. 2017 — A comparison of stimulus types in online classification of the P300 speller using language models

Kojima et al. 2024 (Dataset A) — An auditory brain-computer interface based on selective attention to multiple tone streams

Adaptive recruitment of cortex-wide recurrence for visual object recognition (EEG)