Literature DB >> 9449824

Periodicity coding in the primary auditory cortex of the Mongolian gerbil (Meriones unguiculatus): two different coding strategies for pitch and rhythm?

H Schulze1, G Langner.   

Abstract

Periodic envelope or amplitude modulations (AM) with periodicities up to several thousand Hertz are characteristic for many natural sounds. Throughout the auditory pathway, signal periodicity is evident in neuronal discharges phase-locked to the envelope. In contrast to lower levels of the auditory pathway, cortical neurons do not phase-lock to periodicities above about 100 Hz. Therefore, we investigated alternative coding strategies for high envelope periodicities at the cortical level. Neuronal responses in the primary auditory cortex (AI) of gerbils to tones and AM were analysed. Two groups of stimuli were tested: (1) AM with a carrier frequency set to the unit's best frequency evoked phase-locked responses which were confined to low modulation frequencies (fms) up to about 100 Hz, and (2) AM with a spectrum completely outside the unit's frequency-response range evoked completely different responses that never showed phase-locking but a rate-tuning to high fms (50 to about 3000 Hz). In contrast to the phase-locked responses, the best fms determined from these latter responses appeared to be topographically distributed, reflecting a periodotopic organization in the AI. Implications of these results for the cortical representation of the perceptual qualities rhythm, roughness and pitch are discussed.

Entities:  

Mesh:

Year:  1997        PMID: 9449824     DOI: 10.1007/s003590050147

Source DB:  PubMed          Journal:  J Comp Physiol A            Impact factor:   1.836


  35 in total

1.  Formation of temporal-feature maps by axonal propagation of synaptic learning.

Authors:  R Kempter; C Leibold; H Wagner; J L van Hemmen
Journal:  Proc Natl Acad Sci U S A       Date:  2001-03-13       Impact factor: 11.205

2.  The magnitude and phase of temporal modulation transfer functions in cat auditory cortex.

Authors:  J J Eggermont
Journal:  J Neurosci       Date:  1999-04-01       Impact factor: 6.167

3.  Nonlinear spectrotemporal sound analysis by neurons in the auditory midbrain.

Authors:  Monty A Escabi; Christoph E Schreiner
Journal:  J Neurosci       Date:  2002-05-15       Impact factor: 6.167

4.  Correct tonotopic representation is necessary for complex pitch perception.

Authors:  Andrew J Oxenham; Joshua G W Bernstein; Hector Penagos
Journal:  Proc Natl Acad Sci U S A       Date:  2004-01-12       Impact factor: 11.205

5.  Neural spike-timing patterns vary with sound shape and periodicity in three auditory cortical fields.

Authors:  Christopher M Lee; Ahmad F Osman; Maxim Volgushev; Monty A Escabí; Heather L Read
Journal:  J Neurophysiol       Date:  2016-02-03       Impact factor: 2.714

6.  The neuronal representation of pitch in primate auditory cortex.

Authors:  Daniel Bendor; Xiaoqin Wang
Journal:  Nature       Date:  2005-08-25       Impact factor: 49.962

Review 7.  Cortical representations of pitch in monkeys and humans.

Authors:  Daniel Bendor; Xiaoqin Wang
Journal:  Curr Opin Neurobiol       Date:  2006-07-13       Impact factor: 6.627

8.  Maximum decoding abilities of temporal patterns and synchronized firings: application to auditory neurons responding to click trains and amplitude modulated white noise.

Authors:  Boris Gourévitch; Jos J Eggermont
Journal:  J Comput Neurosci       Date:  2009-04-17       Impact factor: 1.621

9.  Reward-dependent plasticity in the primary auditory cortex of adult monkeys trained to discriminate temporally modulated signals.

Authors:  Ralph E Beitel; Christoph E Schreiner; Steven W Cheung; Xiaoqin Wang; Michael M Merzenich
Journal:  Proc Natl Acad Sci U S A       Date:  2003-08-26       Impact factor: 11.205

10.  Processing of broadband stimuli across A1 layers in young and aged rats.

Authors:  Larry F Hughes; Jeremy G Turner; Jennifer L Parrish; Donald M Caspary
Journal:  Hear Res       Date:  2009-09-20       Impact factor: 3.208

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