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Motor context coordinates visually guided walking in Drosophila

Tomás Cruz, Terufumi Fujiwara, Nélia Varela, Farhan Mohammad, Adam Claridge-Chang, M Eugenia Chiappe
doi: https://doi.org/10.1101/572792
Tomás Cruz
1Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal;
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Terufumi Fujiwara
1Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal;
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Nélia Varela
1Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal;
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Farhan Mohammad
3Program in Neuroscience and Behavioral Disorders, Duke-NUS Medical School, Singapore;
4College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar;
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Adam Claridge-Chang
3Program in Neuroscience and Behavioral Disorders, Duke-NUS Medical School, Singapore;
5Institute of Molecular and Cell Biology, Singapore
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M Eugenia Chiappe
1Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal;
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  • For correspondence: eugenia.chiappe@neuro.fchampalimaud.org
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Abstract

Course control is critical for the acquisition of spatial information during exploration and navigation, and it is thought to rely on neural circuits that process locomotive-related multimodal signals. However, which circuits underlie this control, and how multimodal information contributes to the control system are questions poorly understood. We used Virtual Reality to examine the role of self-generated visual signals (visual feedback) on the control of exploratory walking in flies. Exploratory flies display two distinct motor contexts, characterized by low speed and fast rotations, or by high speed and slow rotations, respectively. Flies use visual feedback to control body rotations, but in a motor-context specific manner, primarily when walking at high speed. Different populations of visual motion-sensitive cells estimate body rotations via congruent, multimodal inputs, and drive compensatory rotations. However, their effective contribution to course control is dynamically tuned by a speed-related signal. Our data identifies visual networks with a multimodal circuit mechanism for adaptive course control and suggests models for how visual feedback is combined with internal signals to guide exploratory course control.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted March 11, 2019.
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Motor context coordinates visually guided walking in Drosophila
Tomás Cruz, Terufumi Fujiwara, Nélia Varela, Farhan Mohammad, Adam Claridge-Chang, M Eugenia Chiappe
bioRxiv 572792; doi: https://doi.org/10.1101/572792
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Motor context coordinates visually guided walking in Drosophila
Tomás Cruz, Terufumi Fujiwara, Nélia Varela, Farhan Mohammad, Adam Claridge-Chang, M Eugenia Chiappe
bioRxiv 572792; doi: https://doi.org/10.1101/572792

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