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Coding efficiency of fly motion processing is set by firing rate, not firing precision

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Spavieri,  D. L.
Department: Systems and Computational Neurobiology / Borst, MPI of Neurobiology, Max Planck Society;

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Eichner,  H.
Department: Systems and Computational Neurobiology / Borst, MPI of Neurobiology, Max Planck Society;

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Borst,  A.
Department: Systems and Computational Neurobiology / Borst, MPI of Neurobiology, Max Planck Society;

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Citation

Spavieri, D. L., Eichner, H., & Borst, A. (2010). Coding efficiency of fly motion processing is set by firing rate, not firing precision. PLoS Computational Biology, 6(7): e1000860. doi:10.1371/journal.pcbi.1000860.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0012-1FAA-1
Abstract
To comprehend the principles underlying sensory information processing, it is important to understand how the nervous system deals with various sources of perturbation. Here, we analyze how the representation of motion information in the fly's nervous system changes with temperature and luminance. Although these two environmental variables have a considerable impact on the fly's nervous system, they do not impede the fly to behave suitably over a wide range of conditions. We recorded responses from a motion-sensitive neuron, the H1-cell, to a time-varying stimulus at many different combinations of temperature and luminance. We found that the mean firing rate, but not firing precision, changes with temperature, while both were affected by mean luminance. Because we also found that information rate and coding efficiency are mainly set by the mean firing rate, our results suggest that, in the face of environmental perturbations, the coding efficiency is improved by an increase in the mean firing rate, rather than by an increased firing precision.