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Correlated neuronal discharges that increase coding efficiency during perceptual discrimination.

Ranulfo Romo1, Adrián Hernández, Antonio Zainos

  • 1Instituto de Fisiologi;a Celular, Universidad Nacional Autónoma de México, 04510 México City, D.F., Mexico. rromo@ifisiol.unam.mx

Neuron
|May 27, 2003
PubMed
Summary

Noise correlations in sensory neurons can improve accuracy when neurons have different tuning. This challenges the view that positive correlations are always detrimental to neural coding.

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Area of Science:

  • Neuroscience
  • Sensory processing
  • Computational neuroscience

Background:

  • Neural population activity underlies sensory discrimination.
  • Noise correlations, or trial-to-trial fluctuations, influence neural coding accuracy.
  • Positive noise correlations are often considered detrimental to coding accuracy.

Purpose of the Study:

  • To investigate the role of noise correlations in sensory discrimination.
  • To determine if positive correlations can enhance neural coding under specific conditions.

Main Methods:

  • Recorded neural activity from the secondary somatosensory cortex of monkeys.
  • Monkeys performed a vibrotactile discrimination task.
  • Analyzed the relationship between neural responses, stimulus, and noise correlations.

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Main Results:

  • Positively correlated noise between differently tuned neurons increased coding accuracy.
  • This enhancement occurred because common noise could be subtracted without signal loss.
  • Contrary to previous assumptions, positive correlations were not always deleterious.

Conclusions:

  • Positive correlations between differently tuned neurons can be beneficial for sensory coding.
  • Cortical networks may exploit these positive correlations to enhance neural representations.
  • The functional role of noise correlations is more nuanced than previously thought.