
‘Neural dynamics of phoneme sequences reveal position-invariant code for content and order’ with Laura Gwilliams
The Language Neuroscience Podcast
The Back-to-Back Regression Method for Decoding Features
The back-to-back regression essentially allows you to separate out the correlation between these different features. And so when you're trying to decode feature A, you want to be certain that you're decoding feature A, and not that which is correlated with feature A.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.