‘Neural dynamics of phoneme sequences reveal position-invariant code for content and order’ with Laura Gwilliams
The Language Neuroscience Podcast
The Power of Correlation in Neural Data Prediction
The power of your analysis just ends up reducing with the strength of the correlation. If obviously, if your features are identical and correlation of one, you won't be able to separate them. So it's not just a 200-minute-day, it's like literally a 208- vector of MEG signal from one moment in time predicting the features either at that moment or at a different moment.
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