Literature DB >> 17898209

Auditory cortical receptive fields: stable entities with plastic abilities.

Mounya Elhilali1, Jonathan B Fritz, Tai-Shih Chi, Shihab A Shamma.   

Abstract

To form a reliable, consistent, and accurate representation of the acoustic scene, a reasonable conjecture is that cortical neurons maintain stable receptive fields after an early period of developmental plasticity. However, recent studies suggest that cortical neurons can be modified throughout adulthood and may change their response properties quite rapidly to reflect changing behavioral salience of certain sensory features. Because claims of adaptive receptive field plasticity could be confounded by intrinsic, labile properties of receptive fields themselves, we sought to gauge spontaneous changes in the responses of auditory cortical neurons. In the present study, we examined changes in a series of spectrotemporal receptive fields (STRFs) gathered from single neurons in successive recordings obtained over time scales of 30-120 min in primary auditory cortex (A1) in the quiescent, awake ferret. We used a global analysis of STRF shape based on a large database of A1 receptive fields. By clustering this STRF space in a data-driven manner, STRF sequences could be classified as stable or labile. We found that >73% of A1 neurons exhibited stable receptive field attributes over these time scales. In addition, we found that the extent of intrinsic variation in STRFs during the quiescent state was insignificant compared with behaviorally induced STRF changes observed during performance of spectral auditory tasks. Our results confirm that task-related changes induced by attentional focus on specific acoustic features were indeed confined to behaviorally salient acoustic cues and could be convincingly attributed to learning-induced plasticity when compared with "spontaneous" receptive field variability.

Entities:  

Mesh:

Year:  2007        PMID: 17898209      PMCID: PMC6673154          DOI: 10.1523/JNEUROSCI.1462-07.2007

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  32 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.  Predicting shifts in generalization gradients with perceptrons.

Authors:  Matthew G Wisniewski; Milen L Radell; Lauren M Guillette; Christopher B Sturdy; Eduardo Mercado
Journal:  Learn Behav       Date:  2012-06       Impact factor: 1.986

3.  Effects of Spectral Degradation on Attentional Modulation of Cortical Auditory Responses to Continuous Speech.

Authors:  Ying-Yee Kong; Ala Somarowthu; Nai Ding
Journal:  J Assoc Res Otolaryngol       Date:  2015-09-11

4.  Spatial heterogeneity of cortical receptive fields and its impact on multisensory interactions.

Authors:  Brian N Carriere; David W Royal; Mark T Wallace
Journal:  J Neurophysiol       Date:  2008-02-20       Impact factor: 2.714

5.  A cocktail party with a cortical twist: how cortical mechanisms contribute to sound segregation.

Authors:  Mounya Elhilali; Shihab A Shamma
Journal:  J Acoust Soc Am       Date:  2008-12       Impact factor: 1.840

6.  Analyzing variability in neural responses to complex natural sounds in the awake songbird.

Authors:  Gilberto David Graña; Cyrus P Billimoria; Kamal Sen
Journal:  J Neurophysiol       Date:  2009-04-08       Impact factor: 2.714

7.  Frontal cortex activation causes rapid plasticity of auditory cortical processing.

Authors:  Daniel E Winkowski; Sharba Bandyopadhyay; Shihab A Shamma; Patrick O Kanold
Journal:  J Neurosci       Date:  2013-11-13       Impact factor: 6.167

8.  Linear and nonlinear auditory response properties of interneurons in a high-order avian vocal motor nucleus during wakefulness.

Authors:  Jonathan N Raksin; Christopher M Glaze; Sarah Smith; Marc F Schmidt
Journal:  J Neurophysiol       Date:  2011-12-28       Impact factor: 2.714

9.  Feedback-Driven Sensory Mapping Adaptation for Robust Speech Activity Detection.

Authors:  Ashwin Bellur; Mounya Elhilali
Journal:  IEEE/ACM Trans Audio Speech Lang Process       Date:  2016-12-13

10.  A Framework for Speech Activity Detection Using Adaptive Auditory Receptive Fields.

Authors:  Michael A Carlin; Mounya Elhilali
Journal:  IEEE/ACM Trans Audio Speech Lang Process       Date:  2015-09-23
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