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@@ -19,7 +19,7 @@ If you publish any work using the dataset, please cite the original publication
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> J. L. (2022). Gallant Lab Natural Short Clips 3T fMRI Data.
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> J. L. (2022). Gallant Lab Natural Short Clips 3T fMRI Data.
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> https://dx.doi.org/--TBD--
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> https://dx.doi.org/--TBD--
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-## Difference with the "vim-2" dataset
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+#### Difference with the "vim-2" dataset
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The present dataset uses the same stimuli (natural short movie clips) than a
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The present dataset uses the same stimuli (natural short movie clips) than a
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previous experiment of the Gallant lab [2], publicly released in CRCNS under
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previous experiment of the Gallant lab [2], publicly released in CRCNS under
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@@ -44,23 +44,23 @@ mappers to plot the data on flatten maps of the cortical surface.
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## How to get started
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## How to get started
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-### a. With dedicated tutorials
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+#### a. With dedicated tutorials
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The preferred way to explore this dataset is through the [voxelwise
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The preferred way to explore this dataset is through the [voxelwise
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tutorials](https://github.com/gallantlab/voxelwise_tutorials). These tutorials
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tutorials](https://github.com/gallantlab/voxelwise_tutorials). These tutorials
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includes Python downloading tools, data loaders, plotting utilities, and
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includes Python downloading tools, data loaders, plotting utilities, and
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examples of analysis following the original publication [1] [2].
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examples of analysis following the original publication [1] [2].
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-To run the tutorials, see
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-[https://gallantlab.github.io/voxelwise_tutorials](https://gallantlab.github.io/voxelwise_tutorials)).
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+To run the tutorials, go to
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+[https://gallantlab.github.io/voxelwise_tutorials](https://gallantlab.github.io/voxelwise_tutorials).
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<a href="https://gallantlab.github.io/voxelwise_tutorials/"><img
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<a href="https://gallantlab.github.io/voxelwise_tutorials/"><img
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src="https://gallantlab.github.io/voxelwise_tutorials/_images/sphx_glr_06_plot_banded_ridge_model_002.png"
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src="https://gallantlab.github.io/voxelwise_tutorials/_images/sphx_glr_06_plot_banded_ridge_model_002.png"
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alt="Example" width="600"/></a>
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alt="Example" width="600"/></a>
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-### b. With git and git-annex
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+#### b. With git and git-annex
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-To download the data with [git-annex](https://git-annex.branchable.com/), the
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-following dependencies are necessary: git, git-annex. Then, run the commands
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+To download the data with [git-annex](https://git-annex.branchable.com/), run
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+the commands:
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```bash
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```bash
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# clone the repository, without the data files
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# clone the repository, without the data files
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git clone https://gin.g-node.org/gallantlab/shortclips
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git clone https://gin.g-node.org/gallantlab/shortclips
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@@ -71,12 +71,13 @@ git annex get features/wordnet.hdf --from wasabi
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git annex get . --from wasabi
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git annex get . --from wasabi
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```
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```
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-To maximize the download speed, two remotes are available to download the data.
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-The first remote is GIN (`--from origin`), but the bandwidth might be limited.
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-The second remote is Wasabi (`--from wasabi`), with a larger bandwidth.
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+To maximize the downloading speed, two remotes are available to download the
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+data. The first remote is GIN (`--from origin`), but the bandwidth might be
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+limited. The second remote is Wasabi (`--from wasabi`), with a larger
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+bandwidth.
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-A basic example script is available in `example.py`. For more utilities and
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-example of analysis, see the dedicated [voxelwise
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+To load and plot the data, a basic example script is available in `example.py`.
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+For more utilities and examples of analysis, see the dedicated [voxelwise
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tutorials](https://github.com/gallantlab/voxelwise_tutorials).
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tutorials](https://github.com/gallantlab/voxelwise_tutorials).
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## How to get help
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## How to get help
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