TRF regression weights reflect cortical activation at specific speech delays

Evidence

Further analysis can be performed on the model weights returned by the linear regression, which can be interpreted as the activation of macroscopic areas of the cerebral cortex in response to continuous speech at specific delays (time-lags). In the case of the current dataset, the three conditions can be compared in terms of response to Env (not shown) and to Ph and Fea (Fig. 4a and b ). — Dijk, Pim van, Physiology, Psychoacoustics and…, 4422

Further analysis can be performed on the model weights returned by the linear regression, which can be interpreted as the activation of macroscopic areas of the cerebral cortex in response to continuous speech at specific delays (time-lags). — Dijk, Pim van, Physiology, Psychoacoustics and…, 4407

Categorization

• DEFINE: Clarifies that linear-regression TRF weights index macroscopic cortical activation at specific time-lags relative to speech features.
• corroborated: 3 independent passages support this claim — Dijk, Pim van, Physiology, Psychoacoustics and…, 4422; Dijk, Pim van, Physiology, Psychoacoustics and…, 4407
• XREF: connects to: Phonemic and articulatory-feature speech representations can be encoded as multivariate EEG-regression predictors — Dijk, Pim van, Physiology, Psychoacoustics and…, 4371; Temporal response functions predict EEG from speech representations with cross-validated correlation; Temporal response function weights index macroscopic cortical activation at specific speech delays.