Intracortical responses in human and monkey primary auditory cortex support a temporal processing mechanism for encoding of the voice onset time phonetic parameter

Mitchell Steinschneider, Igor O. Volkov, Yonatan I. Fishman, Hiroyuki Oya, Joseph C. Arezzo, Matthew A. Howard

Research output: Contribution to journalArticlepeer-review

100 Scopus citations

Abstract

This study tests the hypothesis that temporal response patterns in primary auditory cortex are potentially relevant for voice onset time (VOT) encoding in two related experiments. The first experiment investigates whether temporal responses reflecting VOT are modulated in a way that can account for boundary shifts that occur with changes in first formant (F1) frequency, and by extension, consonant place of articulation. Evoked potentials recorded from Heschl's gyrus in a patient undergoing epilepsy surgery evaluation are examined. Representation of VOT varies in a manner that reflects the spectral composition of the syllables and the underlying tonotopic organization. Activity patterns averaged across extended regions of Heschl's gyrus parallel changes in the subject's perceptual boundaries. The second experiment investigates whether the physiological boundary for detecting the sequence of two acoustic elements parallels the psychoacaustic result of ∼20 ms. Population responses evoked by two-tone complexes with variable tone onset times (TOTS) in primary auditory cortex of the monkey are examined. Onset responses evoked by both the first and second tones are detected at a TOT separation as short as 20 ms. Overall, parallels between perceptual and physiological results support the relevance of a population-based temporal processing mechanism for VOT encoding.

Original languageEnglish (US)
Pages (from-to)170-186
Number of pages17
JournalCerebral Cortex
Volume15
Issue number2
DOIs
StatePublished - Feb 2005

Keywords

  • Auditory evoked potentials
  • Heschl's gyrus
  • Intracortical recording
  • Population encoding
  • Speech

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience

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