Phase patterns of neuronal responses reliably discriminate speech in human auditory cortex.

By Huan Luo, David Poeppel. Neuron, 2007

986 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Signal Processing

View Paper: https://www.semanticscholar.org/paper/ed48efc15b7a1280d0e1ddf576849e56b6b23e94

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Citations in the corpus

Spectral fingerprints of large-scale neuronal interactions (2012, background): “These rhythmic inputs may result either from the inherent temporal structure of sensory streams (for example, speec”
Neural Cross-Frequency Coupling: Connecting Architectures, Mechanisms, and Functions. (2015, positive): “There is ample evidence that slow oscillations in sensory areas lock to sensory input modulations [88,89], and could constitute an internal clock for chunking sensory stimuli (e.g., into syllables) and decoding FO activity.”
Multisensory integration: flexible use of general operations (2014, neutral): “One context in which rhythmic information is very important is social interaction including verbal communication, i.e., for predicting what others will do or say and when (Hasson et al., 2012; Luo and Poeppel, 2007; Schroeder et al., 2008; Zion Golumbic et al., 2012).”
Distinct contributions of low- and high-frequency neural oscillations to speech comprehension (2017, neutral): “…2013b; Ding, Melloni, Zhang, Tian, & Poeppel, 2016; Doelling, Arnal, Ghitza, & Poeppel, 2014; Gross et al., 2013; Kayser, Ince, Gross, & Kayser, 2015; Luo & Poeppel, 2012, 2007; Luo, Liu, & Poeppel, 2010; Millman, Johnson, & Prendergast, 2015; Millman, Prendergast, Hymers, & Green, 2013; Nourski…”
A Hierarchy of Time-Scales and the Brain (2008, neutral): “However, it is interesting to note that there are reports of a simple relationship between the temporal aspects of sensory input and neuronal dynamics, particularly in the auditory domain [70,71].”
Embodied Cognition is Not What you Think it is (2013, background): “This work focuses on the production of syllables and models that in terms of oscillator dynamics which can then be coupled to the oscillator dynamics of the cortex (Luo and Poeppel, 2007; Giraud and Poeppel, 2012; Peelle and Davis, 2012).”
Linking Speech Perception and Neurophysiology: Speech Decoding Guided by Cascaded Oscillators Locked to the Input Rhythm (2011, methodology): “…mechanism may be a phase pattern read-out of thetaband responses, extracted from a sliding 200-ms temporal window – a period of one theta oscillation (Luo and Poeppel, 2007); or (2) the observed cortical rhythms are merely a reflection of an underlying computational mechanism, where the brain sets…”
Spike-phase coding boosts and stabilizes information carried by spatial and temporal spike patterns. (2009, positive): “We also would like to note that the entrainment to stimulus rhythms might be further enhanced during prolonged periods of stimulation, such as for example during a conversation (Luo and Poeppel, 2007; Schroeder et al., 2008).”
Mechanisms Underlying Selective Neuronal Tracking of Attended Speech at a ‘Cocktail Party’ (2013, background): “This selectivity itself seems to sharpen as a sentence unfolds.”
On the Possible Role of Brain Rhythms in Speech Perception: Intelligibility of Time-Compressed Speech with Periodic and Aperiodic Insertions of Silence (2009, background): “Of particular importance are the gamma and theta rhythms [e.g., Bastiaansen et al., 2002; Bastiaansen and Hagoort, 2006; Gevins et al., 1997; Giraud et al., 2007; Luo and Poeppel, 2007].”
Speech Rhythms and Multiplexed Oscillatory Sensory Coding in the Human Brain (2013, background): “Indeed, this view is supported by studies of phase consistency in the theta band [20,23] and of oscillatory power in”
The Multivariate Temporal Response Function (mTRF) Toolbox: A MATLAB Toolbox for Relating Neural Signals to Continuous Stimuli (2016, background): “Recent studies have begun to use more naturalistic, extended speech stimuli by focusing their analysis on measuring the phase of neural responses across multiple repetitions of the same speech segment (Luo and Poeppel, 2007; Zion-Golumbic et al., 2013).”