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Coding stimulus amplitude by correlated neural activity.

Michael G Metzen1, Oscar Ávila-Åkerberg2, Maurice J Chacron1,2

  • 1Department of Physiology, McGill University, 3655 Sir William Osler, Montréal, Québec H3G 1Y6, Canada.

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Correlated neural activity, not single neurons, encodes stimulus amplitude. This coding requires neural variability and is optimal with a non-zero noise intensity, explaining sensory processing.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Information Theory

Background:

  • Correlated neural activity is common in the brain but its role in neural coding is debated.
  • Recent experiments show correlated activity, not single neurons, encodes stimulus amplitude and requires neural variability.

Purpose of the Study:

  • To provide a theoretical framework explaining how correlated neural activity encodes stimulus amplitude.
  • To investigate the influence of single-neuron properties on this coding mechanism.

Main Methods:

  • Linear response theory was used to derive an expression for the correlation coefficient.
  • The derived expression relates stimulus amplitude to single-neuron properties like firing rate and variability.
  • Numerical simulations of integrate-and-fire neuron models were performed.

Main Results:

  • The theoretical predictions showed excellent agreement with numerical simulations.
  • A form of stochastic resonance was demonstrated, where optimal coding of stimulus variance occurs at non-zero noise intensity.
  • Correlated activity, unlike single-neuron activity, effectively encodes stimulus amplitude.

Conclusions:

  • The study provides a theoretical explanation for the observed phenomenon of correlation coding.
  • Single-neuron properties, including firing rate and variability, significantly influence correlation coding.
  • Correlation coding is predicted to be a widespread mechanism in sensory processing for neurons receiving weak input.