Midbrain vowel profiles arise from synchrony-to-rate transformation, not AN rate
Evidence
These results emphasize the fact that the strong rate profiles in the healthy IC model are not simply explained by the rate vs.BF profile of the AN. The healthy band-suppressed and hybrid profiles are created by a synchrony-to-rate transformation between the AN and IC and enhanced by disinhibition at the formant frequencies. — Dijk, Pim van, Physiology, Psychoacoustics and…, 5472
Categorization
Category: Causal Relationships
Related
- Midbrain formant coding arises from a synchrony-to-rate transformation (similarity 0.91)
- Midbrain band-enhanced neurons encode vowels via robust across-frequency contrast (similarity 0.86)
- Vowel coding relies on F0-synchronized rate contrasts, not just formant peaks. (similarity 0.85)
- Healthy midbrain rate profiles arise from a synchrony-to-rate transformation, not AN rate (similarity 0.85)
- Healthy band-enhanced midbrain cells encode formants as rate valleys via synchrony capture (similarity 0.85)
- Sensorineural hearing loss changes midbrain coding from contrast-based to energy-based (similarity 0.85)
- Hearing loss flips midbrain neural encoding of vowels from contrast to energy spectrum (similarity 0.82)
- The midbrain converts temporal phase-locking codes into a mean firing-rate profile for speech. (similarity 0.81)
- Pitch-fluctuation contrast coding may outperform formant-peak rate coding for vowels (similarity 0.79)
- Hearing loss erases the neural fluctuation profile that encodes vowel formants (similarity 0.79)
- Cochlear nonlinearities establish F0-synchronized firing patterns that the midbrain converts into rate codes (similarity 0.79)
- Hearing loss degrades vowel coding primarily through F0-synchrony loss rather than mean firing rates (similarity 0.78)