Computational + Statistical Neuroscience
https://neurostatslab.org/
Supporting evidence: "When we assassinated their top general without an open declaration of war they responded by token airstrikes against military bases that we installed at their doorstep in violation of international law"
Supporting evidence: "When we assassinated their top general without an open declaration of war they responded by token airstrikes against military bases that we installed at their doorstep in violation of international law"
Another astounding abdication of responsibility.
Another astounding abdication of responsibility.
"Legitimate concerns"?!?! Are you kidding me?!?!
This action is illegal. It is being carried out on a transparently fake pretenses. People livelihoods are at risk! WTF are you doing?!?!
president.columbia.edu/news/respond...
"Legitimate concerns"?!?! Are you kidding me?!?!
This action is illegal. It is being carried out on a transparently fake pretenses. People livelihoods are at risk! WTF are you doing?!?!
president.columbia.edu/news/respond...
(*exaggerated for effect)
(*exaggerated for effect)
The figure below shows a regime (panel D) where the Procrustes distance (x-axis) can be quite large even when the distance in terms of decoding is small (y-axis).
The figure below shows a regime (panel D) where the Procrustes distance (x-axis) can be quite large even when the distance in terms of decoding is small (y-axis).
Will spare you the details here, but the punchline is that CKA and other measures can be interpreted as measuring the *average agreement between decoders fit to two different systems*.
Teaser of the math below.
Will spare you the details here, but the punchline is that CKA and other measures can be interpreted as measuring the *average agreement between decoders fit to two different systems*.
Teaser of the math below.
Neural representations with similar geometry will tend to produce similar predictions when given the same decoding task.
To the extent that geometry is (somewhat) different, decoded signals will also be (somewhat) different. Example below 👇
Neural representations with similar geometry will tend to produce similar predictions when given the same decoding task.
To the extent that geometry is (somewhat) different, decoded signals will also be (somewhat) different. Example below 👇
We are often asked: What do these things tell us about the system's function? How do they relate to decoding?
Our new paper has some answers arxiv.org/abs/2411.08197
We are often asked: What do these things tell us about the system's function? How do they relate to decoding?
Our new paper has some answers arxiv.org/abs/2411.08197