Literature DB >> 9575382

Learning-induced physiological memory in adult primary auditory cortex: receptive fields plasticity, model, and mechanisms.

N M Weinberger1, J S Bakin.   

Abstract

It is well established that the functional organization of adult sensory cortices, including the auditory cortex, can be modified by deafferentation, sensory deprivation, or selective sensory stimulation. This paper reviews evidence establishing that the adult primary auditory cortex develops physiological plasticity during learning. Determination of frequency receptive fields before and at various times following aversive classical conditioning and instrumental avoidance learning in the guinea pig reveals increased neuronal responses to the pure tone frequency used as a conditioned stimulus (CS). In contrast, responses to the pretraining best frequency and other non-CS frequencies are decreased. These opposite changes are often sufficient to shift cellular tuning toward or even to the frequency of the CS. Learning-induced receptive field (RF) plasticity (i) is associative (requires pairing tone and shock), (ii) highly specific to the CS frequency (e.g., limited to this frequency +/- a small fraction of an octave), (iii) discriminative (specific increased response to a reinforced CS+ frequency but decreased response to a nonreinforced CS- frequency), (iv) develops extremely rapidly (within 5 trials, the fewest trials tested), and (v) is retained indefinitely (tested to 8 weeks). Moreover, RF plasticity is robust and not due to arousal, but can be expressed in the deeply anesthetized subject. Because learning- induced RF plasticity has the major characteristics of associative memory, it is therefore referred to as "physiological memory". We developed a model of RF plasticity based on convergence in the auditory cortex of nucleus basalis cholinergic effects acting at muscarinic receptors, with lemniscal and nonlemniscal frequency information from the ventral and magnocellular divisions of the medial geniculate nucleus, respectively. In the model, the specificity of RF plasticity is dependent on Hebbian rules of covariance. This aspect was confirmed in vivo using microstimulation techniques. Further, the model predicts that pairing a tone with activation of the nucleus basalis is sufficient to induce RF plasticity similar to that obtained in behavioral learning. This prediction has been confirmed. Additional tests of the model are described. RF plasticity is thought to translate the acquired significance of sound into an increased frequency representation of behaviorally important stimuli.

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Mesh:

Year:  1998        PMID: 9575382     DOI: 10.1159/000013787

Source DB:  PubMed          Journal:  Audiol Neurootol        ISSN: 1420-3030            Impact factor:   1.854


  43 in total

1.  Amygdalar efferents initiate auditory thalamic discriminative training-induced neuronal activity.

Authors:  A Poremba; M Gabriel
Journal:  J Neurosci       Date:  2001-01-01       Impact factor: 6.167

2.  Order-sensitive plasticity in adult primary auditory cortex.

Authors:  Michael P Kilgard; Michael M Merzenich
Journal:  Proc Natl Acad Sci U S A       Date:  2002-03-05       Impact factor: 11.205

3.  A computational model of mechanisms controlling experience-dependent reorganization of representational maps in auditory cortex.

Authors:  E Mercado; C E Myers; M A Gluck
Journal:  Cogn Affect Behav Neurosci       Date:  2001-03       Impact factor: 3.282

4.  Distinct forms of cholinergic modulation in parallel thalamic sensory pathways.

Authors:  D M Mooney; L Zhang; C Basile; V V Senatorov; J Ngsee; A Omar; B Hu
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-22       Impact factor: 11.205

Review 5.  Functional organization of lemniscal and nonlemniscal auditory thalamus.

Authors:  B Hu
Journal:  Exp Brain Res       Date:  2003-08-23       Impact factor: 1.972

6.  Perceptual learning and top-down influences in primary visual cortex.

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Journal:  Nat Neurosci       Date:  2004-05-23       Impact factor: 24.884

Review 7.  Molecular signals into the insular cortex and amygdala during aversive gustatory memory formation.

Authors:  Federico Bermúdez-Rattoni; Leticia Ramírez-Lugo; Ranier Gutiérrez; María Isabel Miranda
Journal:  Cell Mol Neurobiol       Date:  2004-02       Impact factor: 5.046

8.  Changes in S1 neural responses during tactile discrimination learning.

Authors:  Michael C Wiest; Eric Thomson; Janaina Pantoja; Miguel A L Nicolelis
Journal:  J Neurophysiol       Date:  2010-05-05       Impact factor: 2.714

9.  Neural correlates of olfactory learning: Critical role of centrifugal neuromodulation.

Authors:  Max L Fletcher; Wei R Chen
Journal:  Learn Mem       Date:  2010-10-27       Impact factor: 2.460

10.  Bilateral cortical interaction: modulation of delay-tuned neurons in the contralateral auditory cortex.

Authors:  Jie Tang; Zhongju Xiao; Nobuo Suga
Journal:  J Neurosci       Date:  2007-08-01       Impact factor: 6.167

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