Measuring the Accuracy of the Neural Code

  title={Measuring the Accuracy of the Neural Code},
  author={Edward Challis},
Tuning curves are commonly used by the neuroscience community to characterise the response properties of sensory neurons to external stimuli. However, the interpretation of tuning curves remains an issue of debate. Do neurons most accurately encode stimuli located at the peak of their tuning curve, where they elicit maximal ring rates, and thus the response is most distinctive against background noise? Or do neurons most accurately encode stimuli in the high slope regions of their tuning curves… CONTINUE READING


Publications referenced by this paper.
Showing 1-10 of 35 references

Information tuning of populations of neurons in primary visual cortex.

The Journal of neuroscience : the official journal of the Society for Neuroscience • 2004
View 5 Excerpts
Highly Influenced

Theoretical Neuroscience

L. F. Abbott P. Dayan
View 10 Excerpts
Highly Influenced

Information theory and neural coding

Nature Neuroscience • 1999
View 4 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…