Currently works for me.

Thanks for sharing the slides. Is your talk available offline for those who could not attend?

My favorite is this one. They are all equally amazing though.

In other words, there is a meaningful correlation between MoCA scores and real world cognitive abilities (with some caveats) of a human but we don’t know if such correlation exists for an AI.

I agree that this is one oof @daniellebeckman.bsky.social’s best images.

Speaking as a non-expert, I speculate that while MDD itself may have a biological construct that lends itself to being quantifiable by a biomarker, suicide attempt is probably a far more complex phenomenon affected by so many internal and external factors that is hard to control for.

For insights into our current findings in this ongoing project, explore our recent publications:
journals.plos.org/plosone/arti...
and
journals.plos.org/plosone/arti...

We demonstrated our non-invasive #EEG technology for assessment of #brain health, inviting attendees to participate in our NIH-supported study of #EEG #biomarkers for #neurodegenerative diseases like #Parkinson’s and #Alzheimer's.

I have received several messages like this lately on X, most definitely AI generated. Not sure what is the scheme behind it.

Can it be neither and just a byproduct?

So everything is periodic except DC offset, a visually distinct rhythmic activity in time domain is associated with a peak in frequency domain. If there is no periodic component at say 15Hz, it just means 15 Hz component is not largely different than surrounding frequencies.

No, you are not alone! While periodic v. aperiodic distinction is a very useful approach in describing and characterization of PSDs, I agree that often we go too far into interpretation. Like this is all based on frequency decomposition of the signal.

Indeed!