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Discriminating external and internal causes for heading changes in freely flying Drosophila

Censi, Andrea and Straw, Andrew D. and Sayaman, Rosalyn and Murray, Richard M. and Dickinson, Michael H. (2012) Discriminating external and internal causes for heading changes in freely flying Drosophila. California Institute of Technology , Pasadena, CA. http://resolver.caltech.edu/CaltechAUTHORS:20121130-085703335

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Abstract

As animals move through the world in search of resources, they change course in reaction to both external sensory cues and internally-generated programs. Elucidating the functional logic of complex search algorithms is challenging because the observable actions of the animal cannot be unambiguously assigned to externally- or internally-triggered events. We present a technique that addresses this challenge by assessing quantitatively the contribution of external stimuli and internal processes. We apply this technique to the analysis of rapid turns (“saccades”) of freely flying Drosophila melanogaster. We show that a single scalar feature computed from the visual stimulus experienced by the animal is sufficient to explain a majority (93%) of the turning decisions. We automatically estimate this scalar value from the observable trajectory, without any assumption regarding the sensory processing. A posteriori, we show that the estimated feature field is consistent with previous results measured in other experimental conditions. The remaining turning decisions, not explained by this feature of the visual input, may be attributed to a combination of deterministic processes based on unobservable internal states and purely stochastic behavior. We cannot distinguish these contributions using external observations alone, but we are able to provide a quantitative bound of their relative importance with respect to stimulus-triggered decisions. Our results suggest that comparatively few saccades in free-flying conditions are a result of an intrinsic spontaneous process, contrary to previous suggestions. We discuss how this technique could be generalized for use in other systems and employed as a tool for classifying effects into sensory, decision, and motor categories when used to analyze data from genetic behavioral screens.


Item Type:Report or Paper (Technical Report)
ORCID:
AuthorORCID
Straw, Andrew D.0000-0001-8381-0858
Murray, Richard M.0000-0002-5785-7481
Dickinson, Michael H.0000-0002-8587-9936
Additional Information:Copyright Censi et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any mediu, provided the original author and source are credited. Funding: This study was funded by AFOSR (FA9550-06-1-0079 and FA9550-10-1-0086, ARO (DAAD 19-03-D-004), NSF (NSF-0931746, DARPA (MSEE). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing interests: The authors have declared that no competing interests exist. We thank Kit Longden for insightful comments on a preliminary version of this work. ADS and MHD designed the experiments. ADS built and programmed the tracking system. RWS and ADS collected the data. AC and ADS wrote software for processing the data. AC designed the identification technique. AC, ADS, MHD and RMM wrote the paper.
Group:Control and Dynamical Systems Technical Reports
Funders:
Funding AgencyGrant Number
Air Force Office of Scientific Research (AFOSR)FA9550-06-1-0079
Air Force Office of Scientific Research (AFOSR)FA9550-10-1-0086
Army Research Office (ARO)DAAD 19-03-D-0004
NSF0931746
Defense Advanced Research Projects Agency (DARPA)UNSPECIFIED
Record Number:CaltechAUTHORS:20121130-085703335
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20121130-085703335
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:35740
Collection:CaltechCDSTR
Deposited By: Andrea Censi
Deposited On:31 Jan 2013 00:04
Last Modified:23 Nov 2015 22:20

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