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Reconstruction of cue-invariant 3D appearances from brain activity

Setup

git submodule update --init --recursive

Steps

  1. Feature extraction — Extract DNN features from 3D point clouds using AtlasNet. See feature-extraction/atlasnet/README.md for instructions.

  2. Feature decoding — Decode DNN features from fMRI data using linear decoders. See feature-decoding/README.md for instructions.

  3. Reconstruction — Reconstruct 3D shapes from true or decoded features using AtlasNet. See reconstruction/atlasnet/README.md for instructions.

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  • Python 98.9%
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