Literature DB >> 23664974

Neural response phase tracks how listeners learn new acoustic representations.

Huan Luo1, Xing Tian, Kun Song, Ke Zhou, David Poeppel.   

Abstract

Humans are remarkable at rapidly learning regularities through experience from a dynamic environment. For example, long-lasting memories are formed even for auditory noise patterns after short, repeated exposure in an unsupervised manner. Although animal neurophysiological and human studies demonstrate adaptive cortical plasticity after sensory learning and memory formation, the mechanisms by which the auditory system extracts and encodes holistic patterns from random noise, which contains neither semantic labels nor prominent acoustic features to facilitate encoding, remains unknown. Here we combined magnetoencephalography (MEG) with psychophysics to address the issue. We demonstrate that the establishment of a reliable neuronal phase pattern in low-frequency (3-8 Hz) auditory cortical responses mirrors the noise memory formation process. Specifically, with repeated exposure, originally novel noise patterns are memorized, as reflected in behavior, and gradually produce robust phase responses in auditory cortex. Moreover, different memorized noises elicit distinguishable phase responses, suggesting their specificity to noise structure. The results indicate that the gradual establishment of low-frequency oscillatory phase patterns in auditory neuronal responses mediates the implicit learning process by which originally undifferentiated noises become new auditory objects.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23664974     DOI: 10.1016/j.cub.2013.04.031

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  24 in total

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Authors:  Xing Tian; David Poeppel
Journal:  J Cogn Neurosci       Date:  2015-02       Impact factor: 3.225

Review 2.  The neuroanatomic and neurophysiological infrastructure for speech and language.

Authors:  David Poeppel
Journal:  Curr Opin Neurobiol       Date:  2014-07-26       Impact factor: 6.627

3.  Behavioral oscillation in priming: competing perceptual predictions conveyed in alternating theta-band rhythms.

Authors:  Yan Huang; Lin Chen; Huan Luo
Journal:  J Neurosci       Date:  2015-02-11       Impact factor: 6.167

4.  Exploring the temporal dynamics of sustained and transient spatial attention using steady-state visual evoked potentials.

Authors:  Dan Zhang; Bo Hong; Shangkai Gao; Brigitte Röder
Journal:  Exp Brain Res       Date:  2017-03-03       Impact factor: 1.972

Review 5.  On the cyclic nature of perception in vision versus audition.

Authors:  Rufin VanRullen; Benedikt Zoefel; Barkin Ilhan
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-03-17       Impact factor: 6.237

6.  Long-term implicit memory for sequential auditory patterns in humans.

Authors:  Roberta Bianco; Peter Mc Harrison; Mingyue Hu; Cora Bolger; Samantha Picken; Marcus T Pearce; Maria Chait
Journal:  Elife       Date:  2020-05-18       Impact factor: 8.140

7.  Listening to birdsong reveals basic features of rate perception and aesthetic judgements.

Authors:  Tina Roeske; Pauline Larrouy-Maestri; Yasuhiro Sakamoto; David Poeppel
Journal:  Proc Biol Sci       Date:  2020-03-25       Impact factor: 5.349

8.  Theta band oscillations reflect more than entrainment: behavioral and neural evidence demonstrates an active chunking process.

Authors:  Xiangbin Teng; Xing Tian; Keith Doelling; David Poeppel
Journal:  Eur J Neurosci       Date:  2017-11-06       Impact factor: 3.386

9.  An oscillating computational model can track pseudo-rhythmic speech by using linguistic predictions.

Authors:  Sanne Ten Oever; Andrea E Martin
Journal:  Elife       Date:  2021-08-02       Impact factor: 8.140

10.  Behavioral oscillations in attention: rhythmic α pulses mediated through θ band.

Authors:  Kun Song; Ming Meng; Lin Chen; Ke Zhou; Huan Luo
Journal:  J Neurosci       Date:  2014-04-02       Impact factor: 6.167

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