Saved in:
| Main Author: | |
|---|---|
| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2025
|
| Online Access: | https://doi.org/10.5281/zenodo.15555449 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866902135804788736 |
|---|---|
| author | McSharry, David |
| author_facet | McSharry, David |
| contents | <p>This repository contains 3 datasets as outlined in the NeurIPS 2024 paper "Learning diverse causally emergent representations from time series data". FMRI data is in "Schaefer100_BOLD_HCP.mat", MEG data is in MEGdataset, and ECoG data is split across 64 .mat dataset called ECoG_ch{i}.mat for i between 1 and 64 inclusive.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15555449 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | datasets for NeurIPS 2024 paper "Learning diverse causally emergent representations from time series data" McSharry, David <p>This repository contains 3 datasets as outlined in the NeurIPS 2024 paper "Learning diverse causally emergent representations from time series data". FMRI data is in "Schaefer100_BOLD_HCP.mat", MEG data is in MEGdataset, and ECoG data is split across 64 .mat dataset called ECoG_ch{i}.mat for i between 1 and 64 inclusive.</p> |
| title | datasets for NeurIPS 2024 paper "Learning diverse causally emergent representations from time series data" |
| url | https://doi.org/10.5281/zenodo.15555449 |