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Speech encoding by coupled cortical theta and gamma oscillations.
Journal article

Speech encoding by coupled cortical theta and gamma oscillations.

  • Hyafil A INSERM U960, Group for Neural Theory, Département d'Etudes Cognitives, Ecole Normale Supérieure, Paris, France.
  • Fontolan L INSERM U960, Group for Neural Theory, Département d'Etudes Cognitives, Ecole Normale Supérieure, Paris, France.
  • Kabdebon C INSERM U960, Group for Neural Theory, Département d'Etudes Cognitives, Ecole Normale Supérieure, Paris, France.
  • Gutkin B INSERM U960, Group for Neural Theory, Département d'Etudes Cognitives, Ecole Normale Supérieure, Paris, France.
  • Giraud AL Department of Neuroscience, University of Geneva, Geneva, Switzerland.
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  • 2015-05-30
Published in:
  • eLife. - 2015
computational biology
cross-frequency coupling
human
neuroscience
speech perception
spiking network
systems biology
theta oscillations
Acoustic Stimulation
Auditory Cortex
Gamma Rhythm
Humans
Neural Networks, Computer
Speech
Theta Rhythm
English Many environmental stimuli present a quasi-rhythmic structure at different timescales that the brain needs to decompose and integrate. Cortical oscillations have been proposed as instruments of sensory de-multiplexing, i.e., the parallel processing of different frequency streams in sensory signals. Yet their causal role in such a process has never been demonstrated. Here, we used a neural microcircuit model to address whether coupled theta-gamma oscillations, as observed in human auditory cortex, could underpin the multiscale sensory analysis of speech. We show that, in continuous speech, theta oscillations can flexibly track the syllabic rhythm and temporally organize the phoneme-level response of gamma neurons into a code that enables syllable identification. The tracking of slow speech fluctuations by theta oscillations, and its coupling to gamma-spiking activity both appeared as critical features for accurate speech encoding. These results demonstrate that cortical oscillations can be a key instrument of speech de-multiplexing, parsing, and encoding.
Language
  • English
Open access status
gold
Identifiers
Persistent URL
https://folia.unifr.ch/global/documents/21503
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