NeurosciencebioRxivPreprint
Adaptive Gain model for predicting auditory brain activity in mice outperforms standard methods for predicting cortical speech tracking in human EEG
Adèle Simon, Adrian N.L. Sahani, Maria Chait A, Jennifer F. Linden
The paper introduces an Adaptive Gain model that improves prediction of human cortical EEG responses to continuous speech by normalizing sound level based on recent context, outperforming standard envelope-based methods.