The analysis of speech in different temporal integration windows: cerebral lateralization as 'asymmetric sampling in time'

By David Poeppel. Speech Communication, 2003

1,258 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/2b90884679eeb04c396303c7b2f20cd90c8b08f2

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In Cognitive Neuroscience

In Experimental and Cognitive Psychology

Citations in the corpus

Speech Rhythms and Multiplexed Oscillatory Sensory Coding in the Human Brain (2013, background): “These results support the asymmetric sampling in time (AST) model [12,14,40] Speech Rhythms and Multiplexed Oscillatory Coding”
Topographic mapping of a hierarchy of temporal receptive windows using a narrated story (2011, background): “3, red) analyze low-level acoustic properties and encode low-level linguistic information, such as formant transitions in stop consonants ( 20 – 40 ms) and single syllables ( 150 –300 ms) (Poeppel, 2003).”
Acoustic landmarks drive delta-theta oscillations to enable speech comprehension by facilitating perceptual parsing (2013, methodology): “…type of multi-time resolution analysis and integration could be performed in auditory cortex using neuronal oscillations – corresponding to these two temporal windows of integration (~5 Hz, theta; ~40 Hz, gamma) – to parse the sound input at these separate timescales (Ghitza, 2011; Poeppel, 2003).”
Distinct contributions of low- and high-frequency neural oscillations to speech comprehension (2017, background): “Oscillatory models (Ding & Simon, 2014; Ghitza, 2011; Giraud & Poeppel, 2012; Peelle & Davis, 2012; Poeppel, 2003; Poeppel et al., 2008) propose that neural entrainment to speech originates from the recruitment of intrinsic neural oscillatory mechanisms, which have a causal influence on speech…”
Dorsal and ventral streams: a framework for understanding aspects of the functional anatomy of language. (2004, background): “A third proposal, closely related to the previous two, is the asymmetric sampling in time (AST) model ( Poeppel, 2001, 2003 ).”
Why would Musical Training Benefit the Neural Encoding of Speech? The OPERA Hypothesis (2011, background): “In human auditory research, two theories suggest that slower temporal modulations in sounds (such as amplitude envelope) are preferentially processed by right-hemisphere cortex (Zatorre et al., 2002; Poeppel, 2003).”
Linking Speech Perception and Neurophysiology: Speech Decoding Guided by Cascaded Oscillators Locked to the Input Rhythm (2011, background): “…mechanism, where the brain sets time intervals for analysis of individual speech components by intrinsic oscillations pre-tuned to an expected speech rate and re-tuned during continuous speech processing by locking to the temporal envelope (Ahissar et al., 2001; Poeppel, 2003; Giraud et al., 2007).”
Phase patterns of neuronal responses reliably discriminate speech in human auditory cortex. (2007, background): “The information at other temporal scales, for example at the segmental scale (20–80 ms duration) is also crucial for speech perception (Poeppel, 2003; Hickok and Poeppel, 2007) but may not be easily observed and efficiently elicited in the current experimental and analysis paradigms.”
Cortical oscillations and speech processing: emerging computational principles and operations (2012, background): “It has been suggested that the two rates at which the incoming signal is ‘sampled’ are at least in part laterally distributed 3 .”
What is right-hemisphere contribution to phonological, lexico-semantic, and sentence processing?: Insights from a meta-analysis (2011, positive): “This RH participation in pragmatic processes such as prosody may rely in part on the differential specialization of the left and right auditory cortices in the processing of speech, the RH being more specialized for tonal processing (Poeppel, 2003; Zatorre, 2001).”
The Natural Statistics of Audiovisual Speech (2009, methodology): “The analysis was motivated by recent neural theories of speech and audiovisual speech perception [11,12].”
Neural specializations for speech and pitch: moving beyond the dichotomies (2008, background): “For example, both Zatorre et al. (2002) and Poeppel (2003) have independently proposed models whereby differences in neural responses between the left and right auditory cortices are conceptualized as being related to differences in the speed with which dynamically changing spectral information is…”
A review and synthesis of the first 20 years of PET and fMRI studies of heard speech, spoken language and reading (2012, background): “The view that left lateralization for heard speech might arise at the level of detecting rapidly changing temporal features (Poeppel, 2003; Hesling et al., 2005) was strengthened by observations that posterior temporal activation was left lateralized for rapid relative to slow frequency transitions…”
Neural modeling and imaging of the cortical interactions underlying syllable production. (2006, methodology): “However future versions of the model will incorporate hemispheric differences in cortical processing as indicated by experimental findings (e.g.,Poeppel, 2003; Tallal et al., 1993; Zatorre et al., 1992, 2002).”
The human auditory cortex concurrently tracks syllabic and phonemic timescales via acoustic spectral flux (2024, unknown): “This speaks in favor of a cross-cultural communicative pressure characterizing the human-specific speech communication system, with the parallel processing of acoustic information at two timescales ( 2 , 53 ).”