End-to-end deep image reconstruction from human brain activity
收藏DataCite Commons2020-08-27 更新2024-07-27 收录
下载链接：
https://figshare.com/articles/End-to-end_deep_image_reconstruction_from_human_brain_activity/7916144/1
下载链接
链接失效反馈官方服务：
资源简介：
Shen, Dwivedi, Majima, Horikawa, and Kamitani (2019) End-to-end deep image reconstruction from human brain activity. Front. Comput. Neurosci. (bioRxiv preprint). <br><br>Here we provide pre-trained deep artificial neural networks (DNN) for reconstructing images from human brain activity. The shared pre-trained DNNs are the generator networks, which were trained to reconstruct the stimulus images from human brain fMRI activity. The pre-trained DNNs of 3 human subjects are shared here:<br><br>- trainedmodel_sub-01.zip<br>- trainedmodel_sub-02.zip<br>- trainedmodel_sub-03.zip<br><br>These pre-trained DNNs were trained for 500,000 mini-batch iterations, with batch size of 64. In each of the zip files, there are 2 files:<br><br>- generator.caffemodel: the Caffe caffemodel file for the trained generator<br>- generator_test.prototxt: the Caffe prototxt file for the generator<br><br>Demo code: GitHub
提供机构：
figshare
创建时间：
2019-04-10
