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'Yuki' Kamitani @ykamit
, 8 tweets, 3 min read Read on Twitter
New preprint from our lab:
Deep image reconstruction from human brain activity
biorxiv.org/content/early/…
Deep image reconstruction: Natural images (seen images)
Deep image reconstruction: Visual imagery (imagined images)
Deep image reconstruction: Natural images (seen images), GIF version

Left: Seen images
Right: Images reconstructed from brain activity (being optimized)
Deep image reconstruction: Visual imagery, GIF version

Left: Imagined images
Right: Images reconstructed from brain activity (being optimized)
We've made the codes and data for 'Deep Image Reconstruction' publicly available at:
github.com/KamitaniLab/De…
openneuro.org/datasets/ds001…
figshare.com/articles/Deep_…
More documents and tools will be added later.
The core is the "iCNN" module, which takes (decoded) CNN features as input and generates an image whose CNN features are similar to the input. Optimization is done either in the image pixel space or in the GAN-derived low-dimensional space.
github.com/KamitaniLab/ic…
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