<p><a href="https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006633" target="_blank">Shen, Horikawa, Majima, and Kamitani (2019) Deep image reconstruction from human brain activity. PLos Comput Biol.</a> (<a href="https://www.biorxiv.org/content/10.1101/240317v1" target="_blank">bioRxiv preprint</a>)</p>
<p>Here we provide DNN features decoded from human brain activity (decodedfeatures-*.mat files) as well as preprocessed fMRI data used for the decoding (sub-*.h5 files).<br>
Raw fMRI data are available at <a href="https://openneuro.org/datasets/ds001506" target="_blank">OpenNeuro</a>.</p>
<p>Demo code is available at <a href="https://github.com/KamitaniLab/DeepImageReconstruction" target="_blank">GitHub</a>.</p>
<h2>History</h2>
<p>2022-10-14: Add fMRI data (sub-03) preprocessed by fmriprep (*_fmriprep_volume_native.h5)</p>
<p>2022-10-13: Add fMRI data (sub-01, sub-02) preprocessed by fmriprep (*_fmriprep_volume_native.h5)<br>
2022-01-27: Minor update on fMRI data (v2; "stimulus_name" was added).<br>
2020-09-09: True DNN features (unit activations) of VGG19 for natural image training and test images were added.</p>
<p>2020-09-08: True DNN features (unit activations) of VGG19 (except conv1) for natural image training images were added.</p>
<p>2020-08-05: fMRI data version 2, which applied slightly different preprocessng and ROIs from the original study, were added (for the natural image experiment only; *_perceptionNaturalImageTraining/Test_VC_v2.h5).</p>
<p>2020-05-18: The following fMRI data files of artificial images, letters, and imagery experiments contained incorrect samples and were fixed.</p>
<ul>
<li>sub-01_perceptionLetterImage_original_VC.h5</li>
<li>sub-02_perceptionArtificialImage_original_VC.h5</li>
<li>sub-02_perceptionLetterImage_original_VC.h5</li>
<li>sub-02_imagery_original_VC.h5</li>
<li>sub-03_perceptionArtificialImage_original_VC.h5</li>
<li>sub-03_perceptionLetterImage_original_VC.h5</li>
<li>sub-03_imagery_original_VC.h5</li>
</ul>
<p><br></p>