Literature DB >> 20107117

Song recognition learning and stimulus-specific weakening of neural responses in the avian auditory forebrain.

Jason V Thompson1, Timothy Q Gentner.   

Abstract

Learning typically increases the strength of responses and the number of neurons that respond to training stimuli. Few studies have explored representational plasticity using natural stimuli, however, leaving unknown the changes that accompany learning under more realistic conditions. Here, we examine experience-dependent plasticity in European starlings, a songbird with rich acoustic communication signals tied to robust, natural recognition behaviors. We trained starlings to recognize conspecific songs and recorded the extracellular spiking activity of single neurons in the caudomedial nidopallium (NCM), a secondary auditory forebrain region analogous to mammalian auditory cortex. Training induced a stimulus-specific weakening of the neural responses (lower spike rates) to the learned songs, whereas the population continued to respond robustly to unfamiliar songs. Additional experiments rule out stimulus-specific adaptation and general biases for novel stimuli as explanations of these effects. Instead, the results indicate that associative learning leads to single neuron responses in which both irrelevant and unfamiliar stimuli elicit more robust responses than behaviorally relevant natural stimuli. Detailed analyses of these effects at a finer temporal scale point to changes in the number of motifs eliciting excitatory responses above a neuron's spontaneous discharge rate. These results show a novel form of experience-dependent plasticity in the auditory forebrain that is tied to associative learning and in which the overall strength of responses is inversely related to learned behavioral significance.

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Year:  2010        PMID: 20107117      PMCID: PMC2853264          DOI: 10.1152/jn.00885.2009

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


  59 in total

1.  Persistent and specific influences of early acoustic environments on primary auditory cortex.

Authors:  L I Zhang; S Bao; M M Merzenich
Journal:  Nat Neurosci       Date:  2001-11       Impact factor: 24.884

2.  Rapid task-related plasticity of spectrotemporal receptive fields in primary auditory cortex.

Authors:  Jonathan Fritz; Shihab Shamma; Mounya Elhilali; David Klein
Journal:  Nat Neurosci       Date:  2003-10-28       Impact factor: 24.884

Review 3.  Auditory processing of vocal sounds in birds.

Authors:  Frédéric E Theunissen; Sarita S Shaevitz
Journal:  Curr Opin Neurobiol       Date:  2006-07-13       Impact factor: 6.627

4.  Anterior forebrain neurons develop selectivity by an intermediate stage of birdsong learning.

Authors:  M M Solis; A J Doupe
Journal:  J Neurosci       Date:  1997-08-15       Impact factor: 6.167

Review 5.  Dynamic regulation of receptive fields and maps in the adult sensory cortex.

Authors:  N M Weinberger
Journal:  Annu Rev Neurosci       Date:  1995       Impact factor: 12.449

6.  Visual properties of neurons in inferotemporal cortex of the Macaque.

Authors:  C G Gross; C E Rocha-Miranda; D B Bender
Journal:  J Neurophysiol       Date:  1972-01       Impact factor: 2.714

7.  Differential frequency conditioning enhances spectral contrast sensitivity of units in auditory cortex (field Al) of the alert Mongolian gerbil.

Authors:  F W Ohl; H Scheich
Journal:  Eur J Neurosci       Date:  1996-05       Impact factor: 3.386

8.  Temporal scales of auditory objects underlying birdsong vocal recognition.

Authors:  Timothy Q Gentner
Journal:  J Acoust Soc Am       Date:  2008-08       Impact factor: 1.840

9.  Perceptual mechanisms for individual vocal recognition in European starlings, Sturnus vulgaris.

Authors: 
Journal:  Anim Behav       Date:  1998-09       Impact factor: 2.844

10.  Habituation produces frequency-specific plasticity of receptive fields in the auditory cortex.

Authors:  C D Condon; N M Weinberger
Journal:  Behav Neurosci       Date:  1991-06       Impact factor: 1.912

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  32 in total

1.  Central auditory neurons have composite receptive fields.

Authors:  Andrei S Kozlov; Timothy Q Gentner
Journal:  Proc Natl Acad Sci U S A       Date:  2016-01-19       Impact factor: 11.205

2.  Central auditory neurons display flexible feature recombination functions.

Authors:  Andrei S Kozlov; Timothy Q Gentner
Journal:  J Neurophysiol       Date:  2013-12-18       Impact factor: 2.714

3.  Neural responses in songbird forebrain reflect learning rates, acquired salience, and stimulus novelty after auditory discrimination training.

Authors:  Brittany A Bell; Mimi L Phan; David S Vicario
Journal:  J Neurophysiol       Date:  2014-12-04       Impact factor: 2.714

4.  Response properties of single neurons in higher level auditory cortex of adult songbirds.

Authors:  Sarah W Bottjer; Andrew A Ronald; Tiara Kaye
Journal:  J Neurophysiol       Date:  2018-11-21       Impact factor: 2.714

5.  Timing of perineuronal net development in the zebra finch song control system correlates with developmental song learning.

Authors:  Gilles Cornez; Elisabeth Jonckers; Sita M Ter Haar; Annemie Van der Linden; Charlotte A Cornil; Jacques Balthazart
Journal:  Proc Biol Sci       Date:  2018-07-18       Impact factor: 5.349

6.  Local inhibition modulates learning-dependent song encoding in the songbird auditory cortex.

Authors:  Jason V Thompson; James M Jeanne; Timothy Q Gentner
Journal:  J Neurophysiol       Date:  2012-11-14       Impact factor: 2.714

7.  Development of neural responsivity to vocal sounds in higher level auditory cortex of songbirds.

Authors:  Vanessa C Miller-Sims; Sarah W Bottjer
Journal:  J Neurophysiol       Date:  2014-04-02       Impact factor: 2.714

8.  Speech training alters consonant and vowel responses in multiple auditory cortex fields.

Authors:  Crystal T Engineer; Kimiya C Rahebi; Elizabeth P Buell; Melyssa K Fink; Michael P Kilgard
Journal:  Behav Brain Res       Date:  2015-03-28       Impact factor: 3.332

9.  Associative learning enhances population coding by inverting interneuronal correlation patterns.

Authors:  James M Jeanne; Tatyana O Sharpee; Timothy Q Gentner
Journal:  Neuron       Date:  2013-04-24       Impact factor: 17.173

Review 10.  Processing of communication sounds: contributions of learning, memory, and experience.

Authors:  Amy Poremba; James Bigelow; Breein Rossi
Journal:  Hear Res       Date:  2013-06-18       Impact factor: 3.208

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