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This repository contains the data and demo codes for replicating results in our paper: [Horikawa and Kamitani (2017) Generic decoding of seen and imagined objects using hierarchical visual features. Nature Communications 8:15037](https://www.nature.com/articles/ncomms15037).
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The generic object decoding approach enabled decoding of arbitrary object categories including those not used in model training.
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## Data (fMRI data and visual features)
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## Dataset
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The preprocessed fMRI data for five subjects (training, test_perception, and test_imagery) and visual features (CNN1-8, HMAX1-3, GIST, and SIFT) are available at [figshare](https://figshare.com/articles/Generic_Object_Decoding/7387130).
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The fMRI data were saved as the [BrainDecoderToolbox2](https://github.com/KamitaniLab/BrainDecoderToolbox2)/[bdpy](https://github.com/KamitaniLab/bdpy) format.
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- Raw fMRI data: [OpenNeuro](https://openneuro.org/datasets/ds001246)
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- Preprocessed fMRI data and image features: [figshare](https://figshare.com/articles/Generic_Object_Decoding/7387130)
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- Stimulus images: upon request via <https://forms.gle/ujvA34948Xg49jdn9>
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The unpreprocessed fMRI data is available at [OpenNeuro](https://openneuro.org/datasets/ds001246).
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## Code
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## Visual images
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Demo programs for Matlab and Python are available in [code/matlab](code/matlab/) and [code/python](code/python), respectively.
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See README.md in each directory for the details.
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## Note
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### Visual images
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For copyright reasons, we do not make the visual images used in our experiments publicly available.
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You can request us to share the stimulus images at <https://forms.gle/ujvA34948Xg49jdn9>.
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Stimulus images used for higher visual area locazlier experiments in this study are available via <https://forms.gle/c6HGatLrt7JtTGQk7>.
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Some of the test images were taken from ILSVRC 2012 training images. See [data/stimulus_info_ImageNetTest.csv](https://github.com/KamitaniLab/GenericObjectDecoding/blob/master/data/stimulus_info_ImageNetTest.csv) for the list of images included in ILSVRC 2012 training images.
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## Demo program
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Demo programs for Matlab and Python are available in [code/matlab](code/matlab/) and [code/python](code/python), respectively.
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See README.md in each directory for the details.

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