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><br>Raw fMRI data are available at OpenNeuro.<br><br>Demo code is available at GitHub.<br><b>History</b><b><br></b>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<br>- sub-02_perceptionLetterImage_original_VC.h5- sub-02_imagery_original_VC.h5<br>- sub-03_perceptionArtificialImage_original_VC.h5- sub-03_perceptionLetterImage_original_VC.h5- sub-03_imagery_original_VC.h5<br>

Shen、Horikawa、Majima与Kamitani（2019）的《从人类脑活动实现深度图像重建》一文发表于《PLOS计算生物学》（PLoS Comput Biol），其预印本发布于bioRxiv平台。
本数据集提供了从人类脑活动解码得到的深度神经网络（Deep Neural Network, DNN）特征（存储为decodedfeatures-*.mat格式文件），以及用于解码的预处理功能磁共振成像（functional Magnetic Resonance Imaging, fMRI）数据（存储为sub-*.h5格式文件）。

原始fMRI数据可于OpenNeuro平台获取。

演示代码可于GitHub平台获取。
**修订历史**
2020年5月18日：此前包含人工图像、字母及意象实验的fMRI数据文件存在样本错误，现已完成修复。涉及文件如下：
- 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