Article

Adaptive Gain model for predicting auditory brain activity in mice outperforms standard methods for predicting cortical speech tracking in human EEG

2026-02-13

Abstract excerpt

Human brain activity tracks slow fluctuations in continuous sound, including speech, and modelling this relationship provides insight into how the brain encodes naturalistic auditory input. Traditional approaches to modelling brain tracking of speech with linear regression often use the amplitude envelope of the stimulus as a regressor, implicitly assuming that neural responses scale linearly with sound intensity....

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Literature Corpus work: 8ab3f1e1-a420-5cde-ba91-4ee7cc7a03a4
DOI: 10.64898/2026.02.12.705421

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