The Temporal Sequence of Party Leader Incongruence
…European Union’s Horizon Europe MSCA Doctoral Networks (Grant No. 101072992). * **POLEMIC…
- Participants
- 44
- Channels
- 65
- Size
- 13.3 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
100 results for "Healthy Brain Network" · page 8 of 10 · ranked by relevance
…European Union’s Horizon Europe MSCA Doctoral Networks (Grant No. 101072992). * **POLEMIC…
This dataset comprises EEG recordings from 24 dyads of participants engaged in collaborative rule learning and categorization tasks. Participants first negotiated rules for a 4-way categorization task, then performed the task while EEG was recorded, with pre- and post-test assessments on identical stimuli. The study investigates information alignment between interacting brains during collaborative learning.
…In up to two sessions, a group of healthy subjects (N=21…
This fNIRS neuroimaging dataset captures prefrontal cortex activity from 20 participants during 14 types of highly automated driving scenarios in a simulator environment. The study examines risk cognition in passengers across different age groups, sexes, and driving experience levels using an 8-channel fNIRS device. The dataset aims to identify differences in prefrontal cortex activation between low-risk and high-risk driving episodes to support safety-of-the-intended-functionality (SOTIF) improvements and brain-computer interface applications.
…Convolutional Neural Network (CNN), Pearson correlation - **Feature extraction**: CNN spatial filtering (8x1…
BigP3BCI Study R is a P300-based brain-computer interface dataset comprising EEG recordings from 20 ALS subjects performing a 9x8 character grid speller task across two sessions. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset with ~267 subjects across 20 studies. The data were acquired at 256 Hz using 32-channel EEG with a g.USBamp amplifier and are organized in BIDS format with HED event annotations for standardized analysis and machine learning applications.
…Methodology ----------- Factorial experimental design with 12 healthy participants. EEG recorded with BrainProducts…
…CNN (Convolutional Neural Network) Feature extraction: sliding windows, bitwise decoding Cross-Validation…
ChineseEEG is a high-density EEG dataset with simultaneous eye-tracking recordings from 10 participants silently reading Chinese novels for approximately 11 hours each. The dataset includes raw and preprocessed EEG data at multiple filtering levels, eye-tracking data, Chinese text materials from two novels (The Little Prince and Garnett Dream), and BERT-based Chinese text embeddings. This resource enables investigation of semantic alignment between neural representations and natural language processing model embeddings during Chinese language comprehension.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003570-blue…