Xinhui Li | @[email protected]
@xin_hui_li
ECE PhD student @GeorgiaTech | curious about minds and machines
ID: 1155840944626950144
https://xinhuili.github.io/ 29-07-2019 14:02:10
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279 Followers
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Though it’s bittersweet since this could be my last NeuroImage publication, I’m proud to be part of this incredible work advancing transparency and reproducibility in fMRI. Paul Taylor Gang Chen Peter Bandettini Vince Calhoun @vcalhoun.bsky.social Javier Gonzalez-Castillo Daniel Handwerker doi.org/10.1016/j.neur…
How do we make robust and validated tools a reality for neuroimaging? Introducing NMIND - here's our vision and call to action for the community nature.com/articles/s4156… Greg Kiar | @[email protected] Damien Fair Russ Poldrack Ted Satterthwaite Eric J Feczko Yaroslav Halchenko Xinhui Li | @[email protected] Óscar Miranda-Domínguez.
Thank you, Hongkui Zeng for this truly fascinating #OHBM2023 Talairach lecture! Also, check out the interview with Hongkui Zeng lead by Xinhui Li | @[email protected] and Kevin Sitek: on the blog ohbmbrainmappingblog.com/blog/a-convers… or as a podcast podcasters.spotify.com/pod/show/ohbm/…. - Simon Steinkamp
I will be presenting our work on MSIVA and deep IVA at #RSBC today. If you're around, come say howdy! 🤠 Vince Calhoun @vcalhoun.bsky.social Rogers F Silva
Our Perspective on reconstructing computat. system dynamics from neural data finally out in Nature Rev Neurosci! nature.com/articles/s4158… We survey generative models that can be trained on time series to mimic the behavior of the neural substrate. #AI #neuroscience #DynamicalSystems
Sidhant Chopra et al. propose a guide for reproducible code-generated brain visualizations doi.org/10.52294/001c.…
So excited for our OHBM Educational Course on SciComm! Lots of tips & tricks on how to best communicate our science to other scientists (data viz, jclubs, podcasts) and to give back to our communities (outreach, public engagement)!😊 Kevin Sitek Alfie Wearn Xinhui Li | @[email protected]
Functional connectivity estimates vary significantly across different fMRI preprocessing pipelines. Due to these variations, using seemingly similar minimal preprocessing does not ensure consistency. Xinhui Li | @[email protected] Nathalia Bianchini Esper Greg Kiar | @[email protected] Michael Milham nature.com/articles/s4156…