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Auditory cortical receptive fields: stable entities with plastic abilities.

Mounya Elhilali1, Jonathan B Fritz, Tai-Shih Chi

  • 1Center for Auditory and Acoustic Research, Institute for Systems Research, University of Maryland, College Park, College Park, Maryland 20742, USA. mounya@umd.edu

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|September 28, 2007
PubMed
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Most auditory cortical neurons maintain stable receptive fields, even in adulthood. Spontaneous changes are minimal compared to learning-induced plasticity, confirming stable neural representations of acoustic scenes.

Area of Science:

  • Neuroscience
  • Auditory Neuroscience
  • Computational Neuroscience

Background:

  • Cortical neurons are hypothesized to have stable receptive fields for reliable acoustic scene representation.
  • Recent findings suggest adult cortical neurons exhibit rapid plasticity, potentially altering responses based on behavioral salience.

Purpose of the Study:

  • To investigate spontaneous changes in auditory cortical neurons' receptive fields.
  • To differentiate intrinsic receptive field variability from behaviorally induced plasticity.

Main Methods:

  • Recorded spectrotemporal receptive fields (STRFs) from single neurons in the primary auditory cortex (A1) of awake ferrets over 30-120 minute intervals.
  • Utilized a global STRF shape analysis and data-driven clustering to classify STRF stability (stable vs. labile).

Related Experiment Videos

Main Results:

  • Over 73% of A1 neurons demonstrated stable receptive field attributes during quiescent states.
  • Intrinsic STRF variations were insignificant when compared to plasticity induced by behavioral tasks involving auditory stimuli.

Conclusions:

  • Auditory cortical neurons largely maintain stable receptive fields, supporting reliable acoustic processing.
  • Behaviorally induced plasticity, driven by attentional focus on salient acoustic cues, is distinct from and significantly larger than spontaneous receptive field variability.