Jul 25, 2008

Spatio-temporal correlations and visual signalling in a complete neuronal population

Nature
Jonathan W PillowEero P Simoncelli

Abstract

Statistical dependencies in the responses of sensory neurons govern both the amount of stimulus information conveyed and the means by which downstream neurons can extract it. Although a variety of measurements indicate the existence of such dependencies, their origin and importance for neural coding are poorly understood. Here we analyse the functional significance of correlated firing in a complete population of macaque parasol retinal ganglion cells using a model of multi-neuron spike responses. The model, with parameters fit directly to physiological data, simultaneously captures both the stimulus dependence and detailed spatio-temporal correlations in population responses, and provides two insights into the structure of the neural code. First, neural encoding at the population level is less noisy than one would expect from the variability of individual neurons: spike times are more precise, and can be predicted more accurately when the spiking of neighbouring neurons is taken into account. Second, correlations provide additional sensory information: optimal, model-based decoding that exploits the response correlation structure extracts 20% more information about the visual scene than decoding under the assumption of indepen...Continue Reading

  • References21
  • Citations302

References

Mentioned in this Paper

Neurons
Vision
Retinaldehyde
Neuronal
Retina
Afferent Neuron
Retinal Ganglion Cells
Macaca mulatta
Nerve Impulses
Sensory Receptor Cells

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