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  1. proslijedio/la je Tweet
    1. velj

    New opinion piece on the organization of the ventral temporal cortex with Jim Haxby and

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  2. proslijedio/la je Tweet
    24. sij

    In a few months, my MIT Essential Knowledge book, "FMRI" will be coming out. I wrote a bit about the process and the book itself in my latest blog post.

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  3. proslijedio/la je Tweet

    Ten simple rules for the computational modeling of behavioral data from and

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  4. proslijedio/la je Tweet
    10. sij

    New preprint from the lab: "Individual differences among deep neural network models." Work with , , and Courtney Spoerer. below. 1/7

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  5. proslijedio/la je Tweet
    15. kol 2019.

    If you've got a favorite example of Bayesian modeling in psychology (and/or how it could be implemented neurally), let me hear about it! 😉

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  6. proslijedio/la je Tweet
    3. kol 2019.

    This thread is a combination of 10 free online courses on machine learning that I find the most helpful. They should be taken in order.

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  8. 30. lip 2019.

    This was a fun collaborative work between me and my lab mate Gihyun, with a slight twist to the AI + neuroscience theme that we have been exploring to give it a more medical application flavor.

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  9. 30. lip 2019.

    Here, we were able to generate realistic 64x64x64 brain MR images (recently succeeded with 128x128x128) of multiple types (e.g. normal or diseased) and modalities (e.g. T2 or FLAIR) from scratch - as opposed to image-to-image translation - by leveraging alpha-GAN with WGAN-GP.

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  10. 30. lip 2019.

    Excited to announce that our paper entitled "Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks" is accepted to (acceptance rate: 31%)!

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  11. proslijedio/la je Tweet
    24. lip 2019.

    During my PhD I nearly lost my mind thinking about why we build computational models in cognitive science. {thread}

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  12. proslijedio/la je Tweet
    13. lip 2019.

    Gave a short lecture on visual field maps recently: some classics & some recent papers (biased by my interests & knowledge) & how to study them with fMRI. Simply love this story & thought I make a thread. Slides here: .

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  13. proslijedio/la je Tweet
    5. lip 2019.

    The first application of our latest theory of object manifolds on DCNNs is online. We characterize how ImageNet-based object manifolds untangle across layers of DCNNs, by connecting the changes in object manifold's geometry and the resultant improvement in manifold capacity.

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  14. proslijedio/la je Tweet

    Representation of abstract semantic knowledge in populations of human single neurons in the medial temporal lobe

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  15. proslijedio/la je Tweet
    21. svi 2019.

    Katerina Malakhova generating images with GANs to visualize the tuning properties of macaque neurons, with very cool pareidolic images for face-responsive neurons.

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  16. proslijedio/la je Tweet
    21. svi 2019.

    Thomas O’Connell: Zero-shot decoding from macaque IT using intermediate feature representations from a DCNN

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  17. proslijedio/la je Tweet
    18. svi 2019.

    Our paper on "A mathematical theory of semantic development in deep neural networks" with Andrew Saxe and Jay McClelland is now out in : (arxiv version here: ) And old tweetstorm here:

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  18. proslijedio/la je Tweet
    13. svi 2019.

    Now out in Neuroimage, our study comparing behavioral similarity judgments, fMRI, and DNNs across a wide range of object and scene categories As one of the reviewers put it, this is a "things are not as simple as you think" type of paper...

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  19. proslijedio/la je Tweet
    10. svi 2019.
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