This repo contains code for evaluating forward encoding models of animals, actions, and scenes using fMRI data collected while participants viewed the Life nature documentary
- google docs "life encoding project"
- Cara's frontier's paper (2018)
- Cara's "data":
/idata/DBIC/cara/life/
- Cara's "code":
/ihome/cara/frontiers_18w/life/forward_encoding/
- New Discovery path:
/dartfs/rc/lab/D/DBIC/DBIC/f0042x1/life-encoding
idata/DBIC/cara/life
├── data
│ ├── annotations
│ │ └── 4 files: annotations_1.csv
│ └── audio
│ └── 4 files: annotations_1.csv
│
├── pymvpa
│ ├── search_hyper_mappers_life_mask_nofsel_lh_leftout_1.hdf5
│ ├── ...
│ └── search_hyper_mappers_life_mask_nofsel_rh_leftout_4.hdf5
│
├── ridge
│ ├── avg_corrs (e.g. annotations_1.csv)
│ ├── models (e.g. life_part1.wav)
│ ├── incomplete
│ ├── niml
│ └── only actions.npy only_animals.npy only_bg.npy
│
└── semantic_cat
├── actions_bg.npy bg_animals.npy faces.npy
├── actions.npy bg.npy objects.npy
├── all.npy body_parts.npy places.npy
├── animals_actions.npy body_parts_strict_animals.npy strict_animals_faces.npy
└── animals.npy faces_body_parts.npy strict_animals.npy
- Anatomical
- Hyperalignment
/idata/DBIC/snastase/life
- Data in this directory is later used by the code
ridge_regression.py
- This code runs both aa, ws, ha (common/participant specific)g
- For the ha, the hyperaligned mappers are saved in
/idata/DBIC/cara/life/pymvpa/
Cara has, of course, run the models and the results can be found in the following directories:
- Anatomical data:
/idata/DBIC/cara/models/aa/visual/all/leftout_run_1/sub-rid000001/lh
- Hyperalignment data:
/idata/DBIC/cara/models/ha_testsubj/visual/all/leftout_run_1/sub-rid00000*
- Within Subject data:
/idata/DBIC/cara/models/ws/visual/all/leftout_run_1/sub-rid000001/lh
- word2vector
- Behavior
- Taxonomy
- Scene
- Behavior
- Taxonomy
- Scene
- Behavior & Taxonomy
- Behavior & Scene
- Taxonomy & Scene
- Behavior & Taxonomy & Scene
- Behavior
- Taxonomy
- Scene
- Behavior & Taxonomy
- Behavior & Scene
- Taxonomy & Scene
- Behavior & Taxonomy & Scene
- Behavior
- Taxonomy
- Scene
- Behavior & Taxonomy
- Behavior & Scene
- Taxonomy & Scene
- Behavior & Taxonomy & Scene
- Behavior
- Taxonomy
- Scene
- Behavior & Taxonomy
- Behavior & Scene
- Taxonomy & Scene
- Behavior & Taxonomy & Scene