Data for "Feature-based encoding of face identity by single neurons in the human amygdala and hippocampus"

doi:10.17605/OSF.IO/36KZC

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This papge is for data sharing of "Feature-based encoding of face identity by single neurons in the human amygdala and hippocampus" by Cao et al. (insert doi once published). Four datasets are included in "Data/": 1. CelebA dataset: 500 face images from 50 different celebrities, with single-unit recordings from the human amygdala and hippocampus 2. FBI dataset: 144 face images from the FBI Twin dataset. These images have different levels of similarity between each other, with single-unit recordings from the human amygdala and hippocampus 3. FaceGen dataset: 300 parameterized faces synthesized using FaceGen, with single-unit recordings from the human amygdala and hippocampus 4. CelebA responses in Monkey's IT cortex. Please see details of these dataset in the paper. Example code and analysis for major findings of the paper are also included in "Analysis/"

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