CoolFace
Datasetpublic

L-FAME-Dataset-Benchmark/L-FAME

L-FAME: Longitudinal Focused Attention Meditation EEG Dataset and Benchmark A longitudinal 64-channel EEG dataset and benchmark for studying focused attention meditation (FAM) and how its neural signatures evolve across a six-week training period. 74 healthy adults were recorded at a pre-intervention baseline; 44 of them returned for a post-intervention follow-up. Three FAM techniques are systematically compared: Hare Krishna mantra (HK), SA-TA-NA-MA mantra (SA), and Breath… See the full description on the dataset page: https://huggingface.co/datasets/L-FAME-Dataset-Benchmark/L-FAME.

sourceHugging Facecc-by-nc-4.0updated 3mo agoView on Hugging Face
0likes1.9kdownloads
settings

This repository belongs to L-FAME-Dataset-Benchmark on Hugging Face.

CoolFace never edits a repository it does not host. Visibility, licence, collaborators and gating are all managed at the source.

nameL-FAME
visibilitypublic
licencecc-by-nc-4.0
gatedno
ownerL-FAME-Dataset-Benchmark
Account settings
L-FAME-Dataset-Benchmark/L-FAME · CoolFace