The Language Neuroscience Podcast cover image

‘Neural dynamics of phoneme sequences reveal position-invariant code for content and order’ with Laura Gwilliams

The Language Neuroscience Podcast

CHAPTER

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.

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