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) <br> 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. <br> Demo code is available at GitHub. <br> <strong>History</strong> <br> 2022-10-13: Add fMRI data 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. <br> 2020-09-08: True DNN features (unit activations) of VGG19 (except conv1) for natural image training images were added. <br> 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).<br> 2020-05-18: The following fMRI data files of artificial images, letters, and imagery experiments contained incorrect samples and were fixed. <br> - 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<br>