|
|
|
|
|
by isaacimagine
575 days ago
|
|
Wait, my brain doesn't do backprop over a pile of linear algebra after having the internet rammed through it? No way that's crazy /s tl;dr: paper proposes a principle called 'prospective configuration' to explain how the brain does credit assignment and learns, as opposed to backprop. Backprop can lead to 'catastrophic interference' where learning new things abalates old associations, which doesn't match observed biological processes. From what I can tell, prosp. config learns by solving what the activations should have been to explain the error, and then updates the weights in accordance, which apparently somehow avoids abalating old associations. They then show how prosp. config explains observed biological processes. Cool stuff, wish I could find the code. There's some supplemental notes: https://static-content.springer.com/esm/art%3A10.1038%2Fs415... |
|
A simulation of a thing is not thing itself, but it is illuminating.
> pile of linear algebra
The entirety of physics is -- as you say -- a 'pile of linear algebra' and 'backprop' (differential linear algebra...)