Stephanie Noble (@sneuroble.bsky.social)

More active on 🦋@sneuroble.bsky.social | Comp neuroscientist working towards precision fMRI / networks | @Northeastern | @Yale | @NIH BRAIN R00 | Peru-Am 🇵🇪

[Stephanie Noble (@sneuroble.bsky.social) @sNeuroble]

NOA in hand, we are ready to launch research in the NeuroPRISM lab!🚀 Appreciate @noahghola @ResearchAtNU @NUGlobalNews taking time to profile this @NIMHgov R00-funded project

Now hiring a fully-funded postdoc—reach out if interested & spread the word!

https://t.co/CEiqiZqCQC

[Stephanie Noble (@sneuroble.bsky.social) @sNeuroble]

📣 Attn researchers interested in movie fcMRI x reliability! Glad to have been part of this work led by @ShearerHallee & @headspace_lab

[Stephanie Noble (@sneuroble.bsky.social) @sNeuroble]

@KordingLab @postlelab @jocnforum Just seeing this—I’m more on bsky than x these days…
It’d be fun to set up a chat with any interested parties aligned with your post to kick things off. Also, CNS is coming up if people are around Boston

[Stephanie Noble (@sneuroble.bsky.social) @sNeuroble]

@postlelab @KordingLab @jocnforum Let’s do it

[Stephanie Noble (@sneuroble.bsky.social) @sNeuroble]

Yup, everyone’s heading to🦋 (again) in case you haven’t heard. I know we’re all dissatisfied. Come join us in trying to shift the community one more time

( Pic h/t @andreashorn_ )

[Yael Niv @yaelniv.bsky.social @yael_niv]

My friends, it looks like I'm moving out of here to bluesky (am already there). I hope others I follow (outside USA and academia) do so too, because I'll miss you there otherwise!

(But you likely won't see this post because posts like this are dethrottled here. Sorry!)

[Karolinska Institutet @karolinskainst]

Researchers at KI have made a significant breakthrough in single-cell RNA-seq technology by developing fully synthetic RNase inhibitors that can replace protein-based reagents. Published in @NatureComms. By @JCMolBio, @antle718, @mhagemannjensen, @sandberglab, @BReinius et al.

[Joshua Curtiss @psychonetrics]

Thanks for such a wonderful symposium :) Lots of fun with my BU teammates! #ABCT2024

[Selçuk Korkmaz @selcukorkmaz]

Understanding the difference between Standard Deviation (SD) and Standard Error (SE) is crucial for accurate data interpretation. SD measures the variability within your data, indicating how spread out the individual data points are from the mean.

In contrast, SE measures the uncertainty around the sample mean as an estimate of the population mean. It reflects the precision of the mean, with SE decreasing as the sample size increases, making your estimate more reliable.

The relationship between SD and SE is given by the formula: SE = SD / √(sample size). While SD remains relatively constant with larger samples, SE diminishes, highlighting the reduced uncertainty in the mean estimate.

A common mistake in research is using the “±” notation without specifying whether it refers to SD or SE, leading to potential misinterpretation of the data. Clear distinction is essential for transparency and accuracy in reporting.

Key Takeaways:
• Use SD to describe data variability.
• Use SE to indicate the precision of the mean.
• Always specify which measure you are reporting.

[Stephanie Noble (@sneuroble.bsky.social) @sNeuroble]

@NicoleCRust @SimonsFdn @yael_niv Love it!! That sounds very believable. Hope you both have a fantastic time 🥳

[Stephanie Noble (@sneuroble.bsky.social) @sNeuroble]

Seconded

[Luiz Pessoa @PessoaBrain]

Universities *outside* the US about now should be working on 4-year positions and facilitating move abroad... With possibility of extension to 8 or 12 years...
I heard of something like that in Canada or Italy, no???

[Luiz Pessoa @PessoaBrain]

Universities *outside* the US about now should be working on 4-year positions and facilitating move abroad... With possibility of extension to 8 or 12 years...
I heard of something like that in Canada or Italy, no???

[Dr. Laurel Gabard-Durnam @laurel_joy_gd]

Proud mama moment! Look at my little guy loving brain science with the assist from my wonderful husband!

[Stephanie Noble (@sneuroble.bsky.social) @sNeuroble]

💯💯💯
To those applying to PhD programs, this is great advice for contacing potential PIs—take note!

[Lucina Uddin @LucinaUddin]

Another @UCLA faculty position! Assistant Professor (Measurement Issues in Complex Data Structures) https://t.co/c1O7jNsTnD 👇🏾

[OHBM Open Science Special Interest Group (OS-SIG) @OhbmOpen]

🚨Call for Submissions: Special Issue on Open Datasets
📷Aperture Neuro, in collaboration with OHBM's Open Science SIG, invites submissions on open datasets in neuroscience.
📷Deadline: 28 February 2025🗓️
https://t.co/dtvxjW3hSe

[Thomas Yeo @bttyeo]

Here's a preliminary release of our calculator to explore sample size and scan time to maximize individual-level prediction accuracy: https://t.co/T7NB26MeCe

Let us know if anything is unclear or if there's bugs. Your feedback is welcome. If you find this calculator helpful for your grant application, etc, please also let us know!

[Stephanie Noble (@sneuroble.bsky.social) @sNeuroble]

@DScheinost @RosenblattMatt @JDadashkarimi @LinkTejavibulya @925452096Andy @wesstat @tervoclemmensb @DeannaJGreene @hakyim @fMRIstats @ten_photos (for posterity, I was not involved in handling this particular article 😁)

[Stephanie Noble (@sneuroble.bsky.social) @sNeuroble]

A deep empirical dive into the limits of generalizability led by Brendan Adkinson and @DScheinost ⭐️

[Dustin Scheinost @DScheinost]

Can neuroimaging predictive models survive across diverse real-world data?🧠🌎We put models to the test across 3 large-scale unharmonized datasets with over 2,800 participants. See our new work in this special issue of Developmental Cognitive Neuroscience: https://t.co/vxoYYrOKV6

[Stephanie Noble (@sneuroble.bsky.social) @sNeuroble]

Thanks @ajdneuro 😊

This was such a fun conversation with Andy, ranging from reliability to study planning to anti/localizationism and beyond. Exciting to be part of this latest incarnation of Andy’s Brain Blog!