TY - JOUR
T1 - Fast intensity adaptation enhances the encoding of sound in Drosophila
AU - Clemens, Jan
AU - Ozeri-Engelhard, Nofar
AU - Murthy, Mala
N1 - Funding Information:
We thank Eero Simoncelli, Jonathan Pillow, Martin Gpfert, and Pip Coen for comments on the manuscript. We also thank Xiao-Juan Guan for technical assistance, Brendan Lehnert for advice on GFN recordings, Diego Pacheco and David Deutsch for assistance with calcium imaging experiments, and Cyrille Girardin for early discussions on adaptation in JONs. J.C. was funded by the DAAD (German Academic Exchange Foundation) and the Sloan-Swartz Foundation. M.M. is an HHMI Faculty Scholar and was also funded by a National Science Foundation CAREER award, NIH New Innovator Award.
Funding Information:
We thank Eero Simoncelli, Jonathan Pillow, Martin Göpfert, and Pip Coen for comments on the manuscript. We also thank Xiao-Juan Guan for technical assistance, Brendan Lehnert for advice on GFN recordings, Diego Pacheco and David Deutsch for assistance with calcium imaging experiments, and Cyrille Girardin for early discussions on adaptation in JONs. J.C. was funded by the DAAD (German Academic Exchange Foundation) and the Sloan-Swartz Foundation. M.M. is an HHMI Faculty Scholar and was also funded by a National Science Foundation CAREER award, NIH New Innovator Award, NSF BRAIN Initiative EAGER award, the McKnight Foundation, and the Klingenstein-Simons Foundation.
Publisher Copyright:
© 2018 The Author(s).
PY - 2018/12/1
Y1 - 2018/12/1
N2 - To faithfully encode complex stimuli, sensory neurons should correct, via adaptation, for stimulus properties that corrupt pattern recognition. Here we investigate sound intensity adaptation in the Drosophila auditory system, which is largely devoted to processing courtship song. Mechanosensory neurons (JONs) in the antenna are sensitive not only to sound-induced antennal vibrations, but also to wind or gravity, which affect the antenna's mean position. Song pattern recognition, therefore, requires adaptation to antennal position (stimulus mean) in addition to sound intensity (stimulus variance). We discover fast variance adaptation in Drosophila JONs, which corrects for background noise over the behaviorally relevant intensity range. We determine where mean and variance adaptation arises and how they interact. A computational model explains our results using a sequence of subtractive and divisive adaptation modules, interleaved by rectification. These results lay the foundation for identifying the molecular and biophysical implementation of adaptation to the statistics of natural sensory stimuli.
AB - To faithfully encode complex stimuli, sensory neurons should correct, via adaptation, for stimulus properties that corrupt pattern recognition. Here we investigate sound intensity adaptation in the Drosophila auditory system, which is largely devoted to processing courtship song. Mechanosensory neurons (JONs) in the antenna are sensitive not only to sound-induced antennal vibrations, but also to wind or gravity, which affect the antenna's mean position. Song pattern recognition, therefore, requires adaptation to antennal position (stimulus mean) in addition to sound intensity (stimulus variance). We discover fast variance adaptation in Drosophila JONs, which corrects for background noise over the behaviorally relevant intensity range. We determine where mean and variance adaptation arises and how they interact. A computational model explains our results using a sequence of subtractive and divisive adaptation modules, interleaved by rectification. These results lay the foundation for identifying the molecular and biophysical implementation of adaptation to the statistics of natural sensory stimuli.
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U2 - 10.1038/s41467-017-02453-9
DO - 10.1038/s41467-017-02453-9
M3 - Article
C2 - 29317624
AN - SCOPUS:85040637819
SN - 2041-1723
VL - 9
JO - Nature communications
JF - Nature communications
IS - 1
M1 - 134
ER -