Literature DB >> 2993015

Feature extraction and tonotopic organization in the avian auditory forebrain.

C M Müller, H J Leppelsack.   

Abstract

In a neurophysiological study within the auditory centers of the mediocaudal telencephalon of the starling, 601 neurons were tested for auditory responses. 369 of these units responded to pure tones, noise bands, amplitude modulations (AM), or species-specific sounds. Of all the auditory neurons, 16.8% did not respond to pure tones but only to more complex stimuli (tone-unresponsive-, TU-units). The remaining auditory units were classified as tone-responsive (TR-units). In 44.3% of TR-units (i.e. 36.9% of all auditory units) differing responses to tones versus more complex stimuli were observed. Responses as they occur in TU-units and in the differing responses of TR-units can be explained by neuronal extraction of features in the time (108 out of 198 neurons) and in the spectral domain (82 out of 198 neurons). Responses to species-specific sounds usually can be explained in terms of extraction of these features. Among neurons sensitive to temporal features, exclusive responses to a narrow range of AM frequencies were observed. In those TU-units that represent spectral features some restrict their responses to noise bands with distinct bandwidths centered around a specific midfrequency. These units reject both wider and narrower noise bands. A tonotopic arrangement of auditory units is found in field L, the surrounding neostriatum (NCM), and the Hyperstriatum ventrale (HV). Isofrequency lines run as a continuum through NCM, field L, and the caudal part of HV. TU-units are integrated into the tonotopic gradient according to the midfrequency of effective stimuli (e.g. noise bands or AM). The anatomical position of auditory units is correlated to their response properties. Within one isofrequency contour an increase in response selectivity is seen from field L to the postsynaptic areas in the NCM and the HV. The results are discussed in terms of possible mechanisms of feature extraction in the avian auditory system.

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Year:  1985        PMID: 2993015     DOI: 10.1007/bf00261351

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  26 in total

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Authors:  M D Zaretsky; M Konishi
Journal:  Brain Res       Date:  1976-07-23       Impact factor: 3.252

Review 2.  Tonotopic organization: review and analysis.

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Journal:  Brain Res       Date:  1974-08-09       Impact factor: 3.252

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Authors:  D H Hubel; T N Wiesel
Journal:  J Physiol       Date:  1968-03       Impact factor: 5.182

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Authors:  H J Karten
Journal:  Brain Res       Date:  1968-10       Impact factor: 3.252

5.  Functional organization of some auditory nuclei in the guinea fowl demonstrated by the 2-deoxyglucose technique.

Authors:  H Scheich; B A Bonke; D Bonke; G Langner
Journal:  Cell Tissue Res       Date:  1979       Impact factor: 5.249

6.  Evidence for neuronal periodicity detection in the auditory system of the Guinea fowl: implications for pitch analysis in the time domain.

Authors:  G Langner
Journal:  Exp Brain Res       Date:  1983       Impact factor: 1.972

7.  Acoustic parameters underlying the responses of song-specific neurons in the white-crowned sparrow.

Authors:  D Margoliash
Journal:  J Neurosci       Date:  1983-05       Impact factor: 6.167

8.  Patterns of hair cell loss in chick basilar papilla after intense auditory stimulation. Frequency organization.

Authors:  B M Ryals; E W Rubel
Journal:  Acta Otolaryngol       Date:  1982       Impact factor: 1.494

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Journal:  J Physiol       Date:  1978-02       Impact factor: 5.182

10.  Possible neural mechanisms of target distance coding in auditory system of the echolocating bat Myotis lucifugus.

Authors:  W E Sullivan
Journal:  J Neurophysiol       Date:  1982-10       Impact factor: 2.714

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  41 in total

1.  Gradual emergence of song selectivity in sensorimotor structures of the male zebra finch song system.

Authors:  P Janata; D Margoliash
Journal:  J Neurosci       Date:  1999-06-15       Impact factor: 6.167

2.  Spectral-temporal receptive fields of nonlinear auditory neurons obtained using natural sounds.

Authors:  F E Theunissen; K Sen; A J Doupe
Journal:  J Neurosci       Date:  2000-03-15       Impact factor: 6.167

3.  Neuronal populations and single cells representing learned auditory objects.

Authors:  Timothy Q Gentner; Daniel Margoliash
Journal:  Nature       Date:  2003-08-07       Impact factor: 49.962

4.  Song presentation induces gene expression in the songbird forebrain.

Authors:  C V Mello; D S Vicario; D F Clayton
Journal:  Proc Natl Acad Sci U S A       Date:  1992-08-01       Impact factor: 11.205

5.  Functional differences in forebrain auditory regions during learned vocal recognition in songbirds.

Authors:  Timothy Q Gentner; Stewart H Hulse; Gregory F Ball
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2004-09-21       Impact factor: 1.836

6.  Song tutoring in presinging zebra finch juveniles biases a small population of higher-order song-selective neurons toward the tutor song.

Authors:  Patrice Adret; C Daniel Meliza; Daniel Margoliash
Journal:  J Neurophysiol       Date:  2012-07-11       Impact factor: 2.714

7.  Hierarchical emergence of sequence sensitivity in the songbird auditory forebrain.

Authors:  Satoko Ono; Kazuo Okanoya; Yoshimasa Seki
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2016-02-10       Impact factor: 1.836

8.  Noninvasive diffusive optical imaging of the auditory response to birdsong in the zebra finch.

Authors:  James V Lee; Edward L Maclin; Kathy A Low; Gabriele Gratton; Monica Fabiani; David F Clayton
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2013-01-16       Impact factor: 1.836

9.  Tonotopic organization and functional characterization of the auditory thalamus in a songbird, the European starling.

Authors:  B Bigalke-Kunz; R Rübsamen; G J Dörrscheidt
Journal:  J Comp Physiol A       Date:  1987-08       Impact factor: 1.836

10.  Estradiol selectively enhances auditory function in avian forebrain neurons.

Authors:  Melissa L Caras; Matthew O'Brien; Eliot A Brenowitz; Edwin W Rubel
Journal:  J Neurosci       Date:  2012-12-05       Impact factor: 6.167

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