"(b) In reverse double-dipping, the dataset dips
you twice, unbeknownst to you, with non-identical
data points (the same stimulus but independent
noise)." If this caught your attention🤓, please read the preprint! #fmri #EEG #cogpsyc #CogSci #MusicScience #Neuroscience #neuroskyence 🧪

🚨New preprint alert!🚨
Say you have a new hypothesis that the brain encodes a particular musical information X, which is theoretically plausible.🧐 So, you ran an encoding analysis on EEG data. Now the topography of prediction accuracies looks like this!🤩 What would you conclude?🥳 🧪

create this with you actual information where you clone the repo:
$ chmod +x import.sh
$ ./import.sh
If everything's cool:
$ ./import.sh letsgo

Since I had only 43 tweets, importing everything took just a few minutes even with a 2.5-sec API delay!😊
⚠️ `BLUESKY_PASSWORD` is the "App password" that you can generate on Bsky (Settings > App Passwords), not your actual login password, which must not be given as plain text anywhere.

설악산 대청봉 왕복 7시간! A round trip to the peak (1708 m) in 7 hours!

What a blast! #MPIEA #NeuroMusic24 #Helsinki #AfterPartWithHeavyMetal

#icmpc17❤️ #tokyo

Nice!🤓 @MPI_ae

(2/3) Recently, researchers have used computational models🤖 to characterize real-world music🎶 and have looked at how similar these models are to human brains🧠 in extracting information from music, which may allow us to understand the information that evokes emotions!

"stained" glass brain

Interpolated 3-D vector values

Prediction accuracy is one thing, and weight recovery is another! Certainly much more interpretable weights!

Now it's getting cute!

It does change the null dist and cluster-wise p-values (depending on the connectivity). But the expected FWER is not (or very little if any) affected by the CFT. Even with CFT=1.00, you still get FWER=0.05!

No! :(

Yes!