Literature DB >> 21452943

Predictive coding and pitch processing in the auditory cortex.

Sukhbinder Kumar1, William Sedley, Kirill V Nourski, Hiroto Kawasaki, Hiroyuki Oya, Roy D Patterson, Matthew A Howard, Karl J Friston, Timothy D Griffiths.   

Abstract

In this work, we show that electrophysiological responses during pitch perception are best explained by distributed activity in a hierarchy of cortical sources and, crucially, that the effective connectivity between these sources is modulated with pitch strength. Local field potentials were recorded in two subjects from primary auditory cortex and adjacent auditory cortical areas along the axis of Heschl's gyrus (HG) while they listened to stimuli of varying pitch strength. Dynamic causal modeling was used to compare system architectures that might explain the recorded activity. The data show that representation of pitch requires an interaction between nonprimary and primary auditory cortex along HG that is consistent with the principle of predictive coding.

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Year:  2011        PMID: 21452943      PMCID: PMC3821983          DOI: 10.1162/jocn_a_00021

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  47 in total

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Authors:  Karl Friston
Journal:  Annu Rev Neurosci       Date:  2002-03-19       Impact factor: 12.449

Review 2.  Object perception as Bayesian inference.

Authors:  Daniel Kersten; Pascal Mamassian; Alan Yuille
Journal:  Annu Rev Psychol       Date:  2004       Impact factor: 24.137

3.  The processing of temporal pitch and melody information in auditory cortex.

Authors:  Roy D Patterson; Stefan Uppenkamp; Ingrid S Johnsrude; Timothy D Griffiths
Journal:  Neuron       Date:  2002-11-14       Impact factor: 17.173

4.  Separating pitch chroma and pitch height in the human brain.

Authors:  J D Warren; S Uppenkamp; R D Patterson; T D Griffiths
Journal:  Proc Natl Acad Sci U S A       Date:  2003-08-08       Impact factor: 11.205

5.  Temporal dynamics of pitch in human auditory cortex.

Authors:  Alexander Gutschalk; Roy D Patterson; Michael Scherg; Stefan Uppenkamp; André Rupp
Journal:  Neuroimage       Date:  2004-06       Impact factor: 6.556

6.  Dynamic causal modelling.

Authors:  K J Friston; L Harrison; W Penny
Journal:  Neuroimage       Date:  2003-08       Impact factor: 6.556

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Authors:  J H Maunsell; D C van Essen
Journal:  J Neurosci       Date:  1983-12       Impact factor: 6.167

9.  A neural representation of pitch salience in nonprimary human auditory cortex revealed with functional magnetic resonance imaging.

Authors:  Hector Penagos; Jennifer R Melcher; Andrew J Oxenham
Journal:  J Neurosci       Date:  2004-07-28       Impact factor: 6.167

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Authors:  A Galaburda; F Sanides
Journal:  J Comp Neurol       Date:  1980-04-01       Impact factor: 3.215

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  30 in total

1.  Language-dependent changes in pitch-relevant neural activity in the auditory cortex reflect differential weighting of temporal attributes of pitch contours.

Authors:  Ananthanarayan Krishnan; Jackson T Gandour; Yi Xu; Chandan H Suresh
Journal:  J Neurolinguistics       Date:  2016-09-16       Impact factor: 1.710

2.  Neural representation of harmonic complex tones in primary auditory cortex of the awake monkey.

Authors:  Yonatan I Fishman; Christophe Micheyl; Mitchell Steinschneider
Journal:  J Neurosci       Date:  2013-06-19       Impact factor: 6.167

3.  Language-experience plasticity in neural representation of changes in pitch salience.

Authors:  Ananthanarayan Krishnan; Jackson T Gandour; Chandan H Suresh
Journal:  Brain Res       Date:  2016-02-20       Impact factor: 3.252

4.  Olfactory predictive codes and stimulus templates in piriform cortex.

Authors:  Christina Zelano; Aprajita Mohanty; Jay A Gottfried
Journal:  Neuron       Date:  2011-10-06       Impact factor: 17.173

5.  A neural network trained for prediction mimics diverse features of biological neurons and perception.

Authors:  William Lotter; Gabriel Kreiman; David Cox
Journal:  Nat Mach Intell       Date:  2020-04-20

6.  Pitch processing of dynamic lexical tones in the auditory cortex is influenced by sensory and extrasensory processes.

Authors:  Ananthanarayan Krishnan; Jackson T Gandour; Chandan H Suresh
Journal:  Eur J Neurosci       Date:  2015-05-06       Impact factor: 3.386

7.  Direct electrophysiological mapping of human pitch-related processing in auditory cortex.

Authors:  Phillip E Gander; Sukhbinder Kumar; William Sedley; Kirill V Nourski; Hiroyuki Oya; Christopher K Kovach; Hiroto Kawasaki; Yukiko Kikuchi; Roy D Patterson; Matthew A Howard; Timothy D Griffiths
Journal:  Neuroimage       Date:  2019-08-08       Impact factor: 6.556

8.  Processing of auditory novelty across the cortical hierarchy: An intracranial electrophysiology study.

Authors:  Kirill V Nourski; Mitchell Steinschneider; Ariane E Rhone; Hiroto Kawasaki; Matthew A Howard; Matthew I Banks
Journal:  Neuroimage       Date:  2018-08-13       Impact factor: 6.556

9.  Can you hear me yet? An intracranial investigation of speech and non-speech audiovisual interactions in human cortex.

Authors:  Ariane E Rhone; Kirill V Nourski; Hiroyuki Oya; Hiroto Kawasaki; Matthew A Howard; Bob McMurray
Journal:  Lang Cogn Neurosci       Date:  2015-10-19       Impact factor: 2.331

10.  High-gamma band fronto-temporal coherence as a measure of functional connectivity in speech motor control.

Authors:  J Kingyon; R Behroozmand; R Kelley; H Oya; H Kawasaki; N S Narayanan; J D W Greenlee
Journal:  Neuroscience       Date:  2015-07-29       Impact factor: 3.590

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