Tweetovi

Blokirali ste korisnika/cu @arokem

Jeste li sigurni da želite vidjeti te tweetove? Time nećete deblokirati korisnika/cu @arokem

  1. proslijedio/la je Tweet
    31. sij

    Save the Date: announcing the first-ever All Hubs Summit! Join us, , , , + our enthusiastic partners May 26-28 in

    , , i još njih 7
    Poništi
  2. proslijedio/la je Tweet
    24. sij

    OHBM’s Diversity & Inclusivity Committee is planning on-site family-friendly activities for . We would like to hear from those of you planning to bring children to the meeting (and what ages) so we can plan accordingly.

    Poništi
  3. proslijedio/la je Tweet
    26. sij

    PLEASE RETWEET: Jacob Bien and I are hiring a post-doc!!!! It's the perfect set-up: ✅live in sunny Los Angeles ✅work on interesting statistical methodology problems ✅collaborate with Jacob and me!! Submit your application via the link by MARCH 15!!!

    Prikaži ovu nit
    Poništi
  4. proslijedio/la je Tweet
    23. sij

    Interested in using data-driven discovery for societal benefit? We are now accepting applications for Student Fellows to participate in the 2020 Data Science for Social Good (DSSG) summer program. Application & more info available here:

    Poništi
  5. proslijedio/la je Tweet
    17. sij

    Given the large growth of DIPY and the large need for sub-projects, DIPY moved to its own organization in Github. Long live to !!! The previous link () will remain active for the next 6 months.

    Poništi
  6. 14. sij

    Come hack with us in Seattle in summer 2020! Applications are now open for this year's

    Poništi
  7. 9. sij

    The tentative schedule for the workshop in March is up: and it is super! Looking forward to it!

    Poništi
  8. proslijedio/la je Tweet
    7. sij

    Only 2 days left to apply for Kaggle's Open Data grant! The application process is very easy - you can still make it. Get funding to share your research data!

    Poništi
  9. 2. sij

    New software for the new year! The first release of pyAFQ: . This is a Python reimplementation of the tractometry pipeline that created and described in his 2012 paper () and a part of the software ecosystem

    Poništi
  10. 20. pro 2019.

    We are grateful for funding support from / for this work. For more context, check out our project website at

    Prikaži ovu nit
    Poništi
  11. 20. pro 2019.

    We expect that this method will be useful for many other questions and datasets, and the software to perform these analyses is available open-source here:

    Prikaži ovu nit
    Poništi
  12. 20. pro 2019.

    In another dataset, the method accurately designates "brain age" based on the properties of the brain connections

    Prikaži ovu nit
    Poništi
  13. 20. pro 2019.

    It also automatically detects the fact that ALS is a disease of the motor system, identifying the corticospinal tract (that connects the brain to the spinal cord) as the focus of accurate ALS classification

    Prikaži ovu nit
    Poništi
  14. 20. pro 2019.

    We demonstrate the method in two datasets. In the first, we demonstrate that the method classifies patients with ALS with remarkable accuracy

    Prikaži ovu nit
    Poništi
  15. 20. pro 2019.

    This set of equations is ill-posed, so we use a regularization technique that Noah developed called Sparse Group Lasso to solve the equations and find the informative features in brain connections

    Prikaži ovu nit
    Poništi
  16. 20. pro 2019.

    We take advantage of the fact that data from MRI scans of brain connections can be divided based on the anatomical structure of these connections, to write down a grouped set of linear equations. Each group is a major connective tract

    Prikaži ovu nit
    Poništi
  17. 20. pro 2019.

    New preprint! We (, + Noah Simon ) developed a new statistical approach to the analysis of human brain connections

    Prikaži ovu nit
    Poništi
  18. 18. pro 2019.

    This is so cool it's going into the progress report I am currently procrastinating on writing :-)

    Poništi
  19. 19. stu 2019.

    Now corrected to reflect the fact that the data contains recordings from nearly 100k neurons, and not 10k as I previously wrote. That's a lot of neurons!

    Prikaži ovu nit
    Poništi
  20. 18. stu 2019.

    My thoughts about our local : . TL;DR : The new neuropixels dataset is remarkable. It would be great to have a cloud-optimized version of it, so we can build something like around it.

    Prikaži ovu nit
    Poništi

Čini se da učitavanje traje već neko vrijeme.

Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.

    Možda bi vam se svidjelo i ovo:

    ·