Deep image reconstruction from human brain activity

Shen, Horikawa, Majima, and Kamitani (2019) Deep image reconstruction from human brain activity. PLos Comput Biol. (bioRxiv preprint)
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 OpenNeuro.
Demo code is available at GitHub.
History
2022-10-14: Add fMRI data (sub-03) preprocessed by fmriprep (*_fmriprep_volume_native.h5)
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.
2020-09-08: True DNN features (unit activations) of VGG19 (except conv1) for natural image training images were added.
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).
2020-05-18: The following fMRI data files of artificial images, letters, and imagery experiments contained incorrect samples and were fixed.

sub-01_perceptionLetterImage_original_VC.h5
sub-02_perceptionArtificialImage_original_VC.h5
sub-02_perceptionLetterImage_original_VC.h5
sub-02_imagery_original_VC.h5
sub-03_perceptionArtificialImage_original_VC.h5
sub-03_perceptionLetterImage_original_VC.h5
sub-03_imagery_original_VC.h5

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