Aki Nikolaidis

@AkiNikolaidis

Human and Machine learning, Corticostriatal Circuits, Brain Development, MRI, & . He/Him. At:

New York, NY
Vrijeme pridruživanja: svibanj 2011.

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  1. Prikvačeni tweet
    14. sij

    Excited to be teaching again ⁦⁩ for my upcoming Neurohacking 101 course. Teaching citizen scientists intro to python, basic stats, and neuroimaging with . No programming experience required, Python bootcamp included & recommended!

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  2. prije 4 sata

    New toolbox for brain dynamics to check out!! 👨🏻‍💻👍🏻👏🏼

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  3. proslijedio/la je Tweet
    2. velj

    DREAM: A Toolbox to Decode Rhythms of the Brain System

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  4. proslijedio/la je Tweet
    30. sij

    Hello WORLD! Join us on the vernal equinox for the OHBM Equinox Twitter Conference: 24hrs tweet talks and keynotes from neuroscientists around the world under the hashtag . Read more at

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  5. proslijedio/la je Tweet
    30. sij

    If you perform a null-hypothesis test you need to justify why a null-effect is plausible. Random assignment to conditions is one justification. Without random assignment, the null is often not plausible. It is not surprising to reject null effects when comparing existing groups.

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  6. 30. sij
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  7. 29. sij
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  8. proslijedio/la je Tweet
    28. sij

    Hi attendees, we are planning these children friendly/engaging activities now, and would really like your input. Please help by replying or by retweeting.

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  9. 28. sij

    How is resting state a ‘big black box?’ 🧐

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  10. proslijedio/la je Tweet
    26. sij

    "men are from mars, women are from venus" implies the existence of at least 6 other local genders of extreme variability, hundreds of thousands of other celestial genders, and possibly infinite extrasolar genders, many beyond what science has currently charted

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  11. 24. sij
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  12. 23. sij

    Any tweeps attend ? How was it?

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  13. proslijedio/la je Tweet
    14. sij

    We are now accepting applications to participate in NeuroHackademy 2020:

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  14. 15. sij

    BrainIAK Tutorials are one of the best places to learn how to conduct an impressive range of advanced MRI analyses in Python. Final version of the paper just published!

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  15. proslijedio/la je Tweet
    7. sij

    I completed my 1st data science project ~30 years ago. Since then I've been continuously developing a questionnaire I use for all new data projects, to ensure the right info is available from the start. I'm sharing it publicly today for the first time.

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  16. proslijedio/la je Tweet
    7. sij

    Men disproportionately cite men even after accounting for social network structure. This should be required reading for all men in academia—gender discrimination is not simply a "women's issue."

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  17. proslijedio/la je Tweet
    6. sij

    Alter one letter of a concept in your discipline. I'll go first. Dank Matter

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  18. proslijedio/la je Tweet
    16. pro 2019.

    Remember cluster failure by Eklund et al: , ? That paper looked at the false positive rates. Here we look at the impact of new cluster solutions on the true positive rate. With The sensitivity is pretty low.

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  19. proslijedio/la je Tweet

    Really excited to see this published. Huge thanks to all of my amazing co-authors, particularly and .

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  20. proslijedio/la je Tweet
    6. pro 2019.

    For 10 years, I have worked on a pipeline for high-throughput processing of fMRI data, called NIAK. This project has become obsolete, because of a better alternative (fMRIprep). I have now put an end-of-life warning on the project . Lessons learned (thread)

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