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Noise correlations improve response fidelity and stimulus encoding

Author

Listed:
  • Jon Cafaro

    (University of Washington)

  • Fred Rieke

    (Howard Hughes Medical Institute. University of Washington
    University of Washington)

Abstract

Neural activity in the balance The encoding of physical stimuli by the nervous system is thought to depend on the correlation between various input signals, but this theory has rarely been empirically tested. Jon Cafaro and Fred Rieke introduce a novel recording technique for simultaneously measuring excitatory and inhibitory conductances of retinal ganglion cells, and show that excitatory and inhibitory inputs are strongly correlated, thereby cancelling each other out. On reintroducing these conductance changes into the cell with or without correlations, they find that, as predicted by theoretical work, correlations significantly increase the reliability of the spiking response.

Suggested Citation

  • Jon Cafaro & Fred Rieke, 2010. "Noise correlations improve response fidelity and stimulus encoding," Nature, Nature, vol. 468(7326), pages 964-967, December.
    • Handle: RePEc:nat:nature:v:468:y:2010:i:7326:d:10.1038_nature09570
    DOI: 10.1038/nature09570
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    Cited by:

    1. Ashok Litwin-Kumar & Anne-Marie M Oswald & Nathaniel N Urban & Brent Doiron, 2011. "Balanced Synaptic Input Shapes the Correlation between Neural Spike Trains," PLOS Computational Biology, Public Library of Science, vol. 7(12), pages 1-14, December.

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