Literature DB >> 19853056

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

Kasia M Bieszczad1, Norman M Weinberger.   

Abstract

Associative memory for auditory-cued events involves specific plasticity in the primary auditory cortex (A1) that facilitates responses to tones which gain behavioral significance, by modifying representational parameters of sensory coding. Learning strategy, rather than the amount or content of learning, can determine this learning-induced cortical (high order) associative representational plasticity (HARP). Thus, tone-contingent learning with signaled errors can be accomplished either by (1) responding only during tone duration ("tone-duration" strategy, T-Dur), or (2) responding from tone onset until receiving an error signal for responses made immediately after tone offset ("tone-onset-to-error", TOTE). While rats using both strategies achieve the same high level of performance, only those using the TOTE strategy develop HARP, viz., frequency-specific decreased threshold (increased sensitivity) and decreased bandwidth (increased selectivity) (Berlau & Weinberger, 2008). The present study challenged the generality of learning strategy by determining if high motivation dominates in the formation of HARP. Two groups of adult male rats were trained to bar-press during a 5.0kHz (10s, 70dB) tone for a water reward under either high (HiMot) or moderate (ModMot) levels of motivation. The HiMot group achieved a higher level of correct performance. However, terminal mapping of A1 showed that only the ModMot group developed HARP, i.e., increased sensitivity and selectivity in the signal-frequency band. Behavioral analysis revealed that the ModMot group used the TOTE strategy while HiMot subjects used the T-Dur strategy. Thus, type of learning strategy, not level of learning or motivation, is dominant for the formation of cortical plasticity. Copyright 2009 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 19853056      PMCID: PMC3192530          DOI: 10.1016/j.nlm.2009.10.003

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


  58 in total

1.  Response properties of units in the posterior auditory field deprived of input from the ipsilateral primary auditory cortex.

Authors:  L M Kitzes; G S Hollrigel
Journal:  Hear Res       Date:  1996-10       Impact factor: 3.208

Review 2.  Cortical plasticity: from synapses to maps.

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3.  Auditory cortical onset responses revisited. II. Response strength.

Authors:  P Heil
Journal:  J Neurophysiol       Date:  1997-05       Impact factor: 2.714

4.  Lateralization and behavioral correlation of changes in regional cerebral blood flow with classical conditioning of the human eyeblink response.

Authors:  B G Schreurs; A R McIntosh; M Bahro; P Herscovitch; T Sunderland; S E Molchan
Journal:  J Neurophysiol       Date:  1997-04       Impact factor: 2.714

5.  Level-dependent representation of stimulus frequency in cat primary auditory cortex.

Authors:  D P Phillips; M N Semple; M B Calford; L M Kitzes
Journal:  Exp Brain Res       Date:  1994       Impact factor: 1.972

6.  Topographic representation of tone intensity along the isofrequency axis of cat primary auditory cortex.

Authors:  P Heil; R Rajan; D R Irvine
Journal:  Hear Res       Date:  1994-06-01       Impact factor: 3.208

7.  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

8.  Field-specific responses in the auditory cortex of the unanaesthetized Mongolian gerbil to tones and slow frequency modulations.

Authors:  H Schulze; F W Ohl; P Heil; H Scheich
Journal:  J Comp Physiol A       Date:  1997-12       Impact factor: 1.836

9.  Frequency and periodicity are represented in orthogonal maps in the human auditory cortex: evidence from magnetoencephalography.

Authors:  G Langner; M Sams; P Heil; H Schulze
Journal:  J Comp Physiol A       Date:  1997-12       Impact factor: 1.836

10.  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

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  17 in total

1.  Task reward structure shapes rapid receptive field plasticity in auditory cortex.

Authors:  Stephen V David; Jonathan B Fritz; Shihab A Shamma
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-23       Impact factor: 11.205

2.  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

3.  Understanding the neurophysiological basis of auditory abilities for social communication: a perspective on the value of ethological paradigms.

Authors:  Sharath Bennur; Joji Tsunada; Yale E Cohen; Robert C Liu
Journal:  Hear Res       Date:  2013-08-27       Impact factor: 3.208

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

Authors:  Jason V Thompson; Timothy Q Gentner
Journal:  J Neurophysiol       Date:  2010-01-27       Impact factor: 2.714

5.  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

6.  Inverted-U function relating cortical plasticity and task difficulty.

Authors:  N D Engineer; C T Engineer; A C Reed; P K Pandya; V Jakkamsetti; R Moucha; M P Kilgard
Journal:  Neuroscience       Date:  2012-01-08       Impact factor: 3.590

7.  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

8.  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

9.  Tone-detection training enhances spectral integration mediated by intracortical pathways in primary auditory cortex.

Authors:  Fei Guo; Irakli Intskirveli; David T Blake; Raju Metherate
Journal:  Neurobiol Learn Mem       Date:  2013-01-26       Impact factor: 2.877

10.  Gamma band plasticity in sensory cortex is a signature of the strongest memory rather than memory of the training stimulus.

Authors:  Norman M Weinberger; Alexandre A Miasnikov; Kasia M Bieszczad; Jemmy C Chen
Journal:  Neurobiol Learn Mem       Date:  2013-05-10       Impact factor: 2.877

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