Literature DB >> 17707663

Learning strategy determines auditory cortical plasticity.

Kasia M Berlau1, Norman M Weinberger.   

Abstract

Learning modifies the primary auditory cortex (A1) to emphasize the processing and representation of behaviorally relevant sounds. However, the factors that determine cortical plasticity are poorly understood. While the type and amount of learning are assumed to be important, the actual strategies used to solve learning problems might be critical. To investigate this possibility, we trained two groups of adult male Sprague-Dawley rats to bar-press (BP) for water contingent on the presence of a 5.0 kHz tone using two different strategies: BP during tone presence or BP from tone-onset until receiving an error signal after tone cessation. Both groups achieved the same high levels of correct performance and both groups revealed equivalent learning of absolute frequency during training. Post-training terminal "mapping" of A1 showed no change in representational area of the tone signal frequency but revealed other substantial cue-specific plasticity that developed only in the tone-onset-to-error strategy group. Threshold was decreased approximately 10 dB and tuning bandwidth was narrowed by approximately 0.7 octaves. As sound onsets have greater perceptual weighting and cortical discharge efficacy than continual sound presence, the induction of specific learning-induced cortical plasticity may depend on the use of learning strategies that best exploit cortical proclivities. The present results also suggest a general principle for the induction and storage of plasticity in learning, viz., that the representation of specific acquired information may be selected by neurons according to a match between behaviorally selected stimulus features and circuit/network response properties.

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Year:  2007        PMID: 17707663      PMCID: PMC3601836          DOI: 10.1016/j.nlm.2007.07.004

Source DB:  PubMed          Journal:  Neurobiol Learn Mem        ISSN: 1074-7427            Impact factor:   2.877


  32 in total

1.  Intrinsic electrophysiology of neurons in thalamorecipient layers of developing rat auditory cortex.

Authors:  R Metherate; V B Aramakis
Journal:  Brain Res Dev Brain Res       Date:  1999-06-02

2.  Experience-dependent modulation of tonotopic neural responses in human auditory cortex.

Authors:  J S Morris; K J Friston; R J Dolan
Journal:  Proc Biol Sci       Date:  1998-04-22       Impact factor: 5.349

Review 3.  Cortical plasticity: from synapses to maps.

Authors:  D V Buonomano; M M Merzenich
Journal:  Annu Rev Neurosci       Date:  1998       Impact factor: 12.449

4.  The posterior field P of cat auditory cortex: coding of envelope transients.

Authors:  P Heil; D R Irvine
Journal:  Cereb Cortex       Date:  1998-03       Impact factor: 5.357

5.  Detection of silent intervals between noises activating different perceptual channels: some properties of "central" auditory gap detection.

Authors:  D P Phillips; T L Taylor; S E Hall; M M Carr; J E Mossop
Journal:  J Acoust Soc Am       Date:  1997-06       Impact factor: 1.840

Review 6.  The functionally and physiologically plastic adult auditory system.

Authors:  C V Palmer; C T Nelson; G A Lindley
Journal:  J Acoust Soc Am       Date:  1998-04       Impact factor: 1.840

Review 7.  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

8.  A functional anatomical study of associative learning in humans.

Authors:  S E Molchan; T Sunderland; A R McIntosh; P Herscovitch; B G Schreurs
Journal:  Proc Natl Acad Sci U S A       Date:  1994-08-16       Impact factor: 11.205

9.  Induction of receptive field plasticity in the auditory cortex of the guinea pig during instrumental avoidance conditioning.

Authors:  J S Bakin; D A South; N M Weinberger
Journal:  Behav Neurosci       Date:  1996-10       Impact factor: 1.912

10.  Spatiotemporal activity patterns of rat cortical neurons predict responses in a conditioned task.

Authors:  A E Villa; I V Tetko; B Hyland; A Najem
Journal:  Proc Natl Acad Sci U S A       Date:  1999-02-02       Impact factor: 11.205

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  19 in total

1.  Extinction reveals that primary sensory cortex predicts reinforcement outcome.

Authors:  Kasia M Bieszczad; Norman M Weinberger
Journal:  Eur J Neurosci       Date:  2012-02-03       Impact factor: 3.386

Review 2.  Perceptual learning in the developing auditory cortex.

Authors:  Shaowen Bao
Journal:  Eur J Neurosci       Date:  2015-03       Impact factor: 3.386

3.  Representational gain in cortical area underlies increase of memory strength.

Authors:  Kasia M Bieszczad; Norman M Weinberger
Journal:  Proc Natl Acad Sci U S A       Date:  2010-02-04       Impact factor: 11.205

4.  Remodeling the cortex in memory: Increased use of a learning strategy increases the representational area of relevant acoustic cues.

Authors:  Kasia M Bieszczad; Norman M Weinberger
Journal:  Neurobiol Learn Mem       Date:  2010-04-29       Impact factor: 2.877

5.  Plasticity in the Primary Auditory Cortex, Not What You Think it is: Implications for Basic and Clinical Auditory Neuroscience.

Authors:  Norman M Weinberger
Journal:  Otolaryngol (Sunnyvale)       Date:  2012-03-12

6.  Perceptual and neuronal boundary learned from higher-order stimulus probabilities.

Authors:  Hania Köver; Kirt Gill; Yi-Ting L Tseng; Shaowen Bao
Journal:  J Neurosci       Date:  2013-02-20       Impact factor: 6.167

7.  Learning strategy refinement reverses early sensory cortical map expansion but not behavior: Support for a theory of directed cortical substrates of learning and memory.

Authors:  Gabriel A Elias; Kasia M Bieszczad; Norman M Weinberger
Journal:  Neurobiol Learn Mem       Date:  2015-10-24       Impact factor: 2.877

8.  Learning strategy trumps motivational level in determining learning-induced auditory cortical plasticity.

Authors:  Kasia M Bieszczad; Norman M Weinberger
Journal:  Neurobiol Learn Mem       Date:  2009-10-21       Impact factor: 2.877

9.  Remodeling sensory cortical maps implants specific behavioral memory.

Authors:  K M Bieszczad; A A Miasnikov; N M Weinberger
Journal:  Neuroscience       Date:  2013-04-29       Impact factor: 3.590

10.  Conditioned tone control of brain reward behavior produces highly specific representational gain in the primary auditory cortex.

Authors:  Gabriel K Hui; Kwan L Wong; Candice M Chavez; Matthew I Leon; Kinna M Robin; Norman M Weinberger
Journal:  Neurobiol Learn Mem       Date:  2009-02-26       Impact factor: 2.877

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