Mobile EEG split-belt walking study
[
- Citations
- 35
- Size
- 113 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "implicit learning" · page 9 of 10 · ranked by relevance
[ in healthy adults. The research demonstrates that personalized whole-brain activity patterns can predict human corticospinal tract activation in real-time, with potential applications for brain stimulation therapies. Data includes EEG recordings collected during TMS-guided brain state-dependent stimulation protocols, where TMS serves as the intervention guided by real-time EEG decoding.
…BCI training, human factors, machine learning on ERP data ## Participants This BIDS…
[ features relevant to emotion detection. The study demonstrates that artificially modified human faces elicit a stronger N170 component compared to natural faces, informing the design of affective brain-computer interfaces (BCIs). Participant identifying information has been removed for anonymization.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000277-blue…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000340-blue…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000351-blue…