Temporal response function weights index macroscopic 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 (
#corroborates, via linked claim)
Categorization
- XREF: connects to: Temporal response functions predict EEG from speech representations with cross-validated correlation; TRF regression weights reflect cortical activation at specific speech delays — Dijk, Pim van, Physiology, Psychoacoustics and…, 4422; The auditory cortex decodes speech from acoustically jumbled waveforms.
Related
- TRF regression weights reflect cortical activation at specific speech delays (similarity 0.96)
- Temporal response functions predict EEG from speech representations with cross-validated correlation (similarity 0.94)
- TRF models predict EEG from speech representations via cross-validated regression (similarity 0.83)
- Phonemic and articulatory-feature speech representations can be encoded as multivariate EEG-regression predictors (similarity 0.82)
- Phonetic models predict EEG better, but only when speech is intelligible. (similarity 0.78)
Broader Connections
- TRF regression weights reflect cortical activation at specific speech delays
#corroborates(1.00) — Dijk, Pim van, Physiology, Psychoacoustics and…, 4422 - The auditory cortex decodes speech from acoustically jumbled waveforms.
#corroborates(0.70)