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sambjohnson/README.md

I am an independent researcher based in Seattle, studying the intersection of AI and neuroscience, with an emphasis on interpreting inner representations of AI models. I am a postdoc alumni of Jason Yeatman's Brain and Education lab (http://brainandeducation.com), where I applied CNN's to large neuroimaging datasets. I also have interests in fundamental AI: reinforcement learning, attention mechanisms, information geometry, and a dyanmical systems view of ANN's.

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  1. neuro3dunet neuro3dunet Public

    Cortical segmentation into multiple ROIs using a 3d unet applied to full 3d T1 anatomical MRI scans.

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    Config files for my GitHub profile.

  3. hello-world hello-world Public

    tutorial: https://docs.github.com/en/get-started/quickstart/hello-world

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  6. cnn-mri cnn-mri Public

    Convolutional neural networks for analysis of cortical anatomy; experiments with different network architectures and input formats + data augmentation

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