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  1. proslijedio/la je Tweet
    22. srp 2019.

    2/2 all algorithms dramatically improved when sample size increased from 100 to 1000. Improvement was smaller, but still significant, when sample size increased from 1000 to 5000 subjects. KRR was competitive at all sample sizes. Publicly available code:

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    22. srp 2019.

    1/2 Updated preprint () showing that kernel regression and DNNs have equal performance for RSFC behavioral prediction. In this version, we found that ...

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  3. proslijedio/la je Tweet
    20. stu 2018.

    Preprint: We compare kernel regression with deep neural networks (DNNs) for functional connectivity behavioral prediction using ~10,000 participants. Hint: DNNs do not perform better

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  4. proslijedio/la je Tweet
    18. lip 2018.

    Are personality and brain structure shaped by similar genetic processes? Find out at 's poster 1638

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  5. proslijedio/la je Tweet
    18. lip 2018.

    2/4 #1090: found latent AD factors underlying cognitive, atrophy, tau heterogeneity #1172: found latent Autism factors with dissociable RSFC & behavior #1411: found latent behavioral and RSFC components across mental disorders

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    18. lip 2018.

    4/4 #2259: Minh shows that recurrent neural networks can predict AD progression 5 years into the future #2499: shows off her MNI152-fsaverage mapping from this thread

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  7. proslijedio/la je Tweet
    18. lip 2018.

    1/4 Come by our posters & discuss! #2380: presents her individual-specific network parcellations from this thread: #2530: Dragana presents a new multisubject stochastic blockmodels with subject-varying cluster assignment

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  8. proslijedio/la je Tweet
    18. lip 2018.

    3/4 #2621 Rajan shows that individual-specific resting-fMRI subspaces improve behavioral prediction #2391 compares deep learning & kernel regression. PRNI best paper runner-up! #2370 @RLiegeois_Neuro shows that dynamic & static FC encode distinct behaviors

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  9. 13. srp 2011.

    New in twitter...

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