Literature DB >> 11929894

Representation of spectral and temporal envelope of twitter vocalizations in common marmoset primary auditory cortex.

Srikantan S Nagarajan1, Steven W Cheung, Purvis Bedenbaugh, Ralph E Beitel, Christoph E Schreiner, Michael M Merzenich.   

Abstract

Cortical sensitivity in representations of behaviorally relevant complex input signals was examined in recordings from primary auditory cortical neurons (AI) in adult, barbiturate-anesthetized common marmoset monkeys (Callithrix jacchus). We studied the robustness of distributed responses to natural and degraded forms of twitter calls, social contact vocalizations comprising several quasi-periodic phrases of frequency and AM. We recorded neuronal responses to a monkey's own twitter call (MOC), degraded forms of their twitter call, and sinusoidal amplitude modulated (SAM) tones with modulation rates similar to those of twitter calls. In spectral envelope degradation, calls with narrowband channels of varying bandwidths had the same temporal envelope as a natural call. However, the carrier phase was randomized within each narrowband channel. In temporal envelope degradation, the temporal envelope within narrowband channels was filtered while the carrier frequencies and phases remained unchanged. In a third form of degradation, noise was added to the natural calls. Spatiotemporal discharge patterns in AI both within and across frequency bands encoded spectrotemporal acoustic features in the call although the encoded response is an abstract version of the call. The average temporal response pattern in AI, however, was significantly correlated with the average temporal envelope for each phrase of a call. Response entrainment to MOC was significantly correlated with entrainment to SAM stimuli at comparable modulation frequencies. Sensitivity of the response patterns to MOC was substantially greater for temporal envelope than for spectral envelope degradations. The distributed responses in AI were robust to additive continuous noise at signal-to-noise ratios > or =10 dB. Neurophysiological data reflecting response sensitivity in AI to these forms of degradation closely parallel human psychophysical results on the intelligibility of degraded speech in quiet and noisy conditions.

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Year:  2002        PMID: 11929894     DOI: 10.1152/jn.00632.2001

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  38 in total

1.  Single-unit responses in the auditory cortex of monkeys performing a conditional acousticomotor task.

Authors:  Caroline Durif; Christophe Jouffrais; Eric M Rouiller
Journal:  Exp Brain Res       Date:  2003-10-25       Impact factor: 1.972

2.  Ability of primary auditory cortical neurons to detect amplitude modulation with rate and temporal codes: neurometric analysis.

Authors:  Jeffrey S Johnson; Pingbo Yin; Kevin N O'Connor; Mitchell L Sutter
Journal:  J Neurophysiol       Date:  2012-03-14       Impact factor: 2.714

Review 3.  Some behavioral and neurobiological constraints on theories of audiovisual speech integration: a review and suggestions for new directions.

Authors:  Nicholas Altieri; David B Pisoni; James T Townsend
Journal:  Seeing Perceiving       Date:  2011-09-29

Review 4.  Temporal context in speech processing and attentional stream selection: a behavioral and neural perspective.

Authors:  Elana M Zion Golumbic; David Poeppel; Charles E Schroeder
Journal:  Brain Lang       Date:  2012-01-29       Impact factor: 2.381

5.  Representation of species-specific vocalizations in the medial geniculate body of the guinea pig.

Authors:  Daniel Suta; Jirí Popelár; Eugen Kvasnák; Josef Syka
Journal:  Exp Brain Res       Date:  2007-08-03       Impact factor: 1.972

6.  Effect of the temporal pattern of contralateral inhibition on sound localization cues.

Authors:  Gary Marsat; Gerald S Pollack
Journal:  J Neurosci       Date:  2005-06-29       Impact factor: 6.167

7.  Neural rate and timing cues for detection and discrimination of amplitude-modulated tones in the awake rabbit inferior colliculus.

Authors:  Paul C Nelson; Laurel H Carney
Journal:  J Neurophysiol       Date:  2006-11-01       Impact factor: 2.714

8.  Coding of FM sweep trains and twitter calls in area CM of marmoset auditory cortex.

Authors:  Yoshinao Kajikawa; Lisa A de la Mothe; Suzanne Blumell; Susanne J Sterbing-D'Angelo; William D'Angelo; Corrie R Camalier; Troy A Hackett
Journal:  Hear Res       Date:  2008-02-08       Impact factor: 3.208

9.  Right-hemisphere auditory cortex is dominant for coding syllable patterns in speech.

Authors:  Daniel A Abrams; Trent Nicol; Steven Zecker; Nina Kraus
Journal:  J Neurosci       Date:  2008-04-09       Impact factor: 6.167

10.  Plasticity in primary auditory cortex of monkeys with altered vocal production.

Authors:  Steven W Cheung; Srikantan S Nagarajan; Christoph E Schreiner; Purvis H Bedenbaugh; Andrew Wong
Journal:  J Neurosci       Date:  2005-03-09       Impact factor: 6.167

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