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| Research article summary (published 10 Nov 2008): |
Neural processing of auditory feedback during vocal practice in a songbird.
Full Abstract
Songbirds are capable of vocal learning and communication and are ideally suited to the study of neural mechanisms of complex sensory and motor processing. Vocal communication in a noisy bird colony and vocal learning of a specific song template both require the ability to monitor auditory feedback to distinguish self-generated vocalizations from external sounds and to identify mismatches between the developing song and a memorized template acquired from a tutor. However, neurons that respond to auditory feedback from vocal output have not been found in song-control areas despite intensive searching. Here we investigate feedback processing outside the traditional song system, in single auditory forebrain neurons of juvenile zebra finches that were in a late developmental stage of song learning. Overall, we found similarity of spike responses during singing and during playback of the bird's own song, with song responses commonly leading by a few milliseconds. However, brief time-locked acoustic perturbations of auditory feedback revealed complex sensitivity that could not be predicted from passive playback responses. Some neurons that responded to playback perturbations did not respond to song perturbations, which is reminiscent of sensory-motor mirror neurons. By contrast, some neurons were highly feedback sensitive in that they responded vigorously to song perturbations, but not to unperturbed songs or perturbed playback. These findings suggest that a computational function of forebrain auditory areas may be to detect errors between actual feedback and mirrored feedback deriving from an internal model of the bird's own song or that of its tutor. Such feedback-sensitive spikes could constitute the key signals that trigger adaptive motor responses to song disruptions or reinforce exploratory motor gestures for vocal learning.
Author information
Author/s: Keller, Georg B (GB); Hahnloser, Richard H R (RH);
Affiliation: Institute of Neuroinformatics, University of Zurich/ETH Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.
Journal and publication information
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal: Nature (Nature), published in England. (Language: eng)
Reference: 2009-Jan; vol 457 (issue 7226) : pp 187-90
Dates: Created 2009/01/08; Completed 2009/01/28;
PMID: 19005471, status: MEDLINE (last retrieval date: 2/18/2009, IMS Date: )
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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