title: Integration of parallel mechanosensory and visual pathways resolved through sensory conflict.
abstract: The acquisition of information from parallel sensory pathways is a hallmark of coordinated movement in animals. Insect flight, for example, relies on both mechanosensory and visual pathways. Our challenge is to disentangle the relative contribution of each modality to the control of behavior. Toward this end, we show an experimental and analytical framework leveraging sensory conflict, a means for independently exciting and modeling separate sensory pathways within a multisensory behavior. As a model, we examine the hovering flower-feeding behavior in the hawkmothManduca sextaIn the laboratory, moths feed from a robotically actuated two-part artificial flower that allows independent presentation of visual and mechanosensory cues. Freely flying moths track lateral flower motion stimuli in an assay spanning both coupled motion, in which visual and mechanosensory cues follow the same motion trajectory, and sensory conflict, in which the two sensory modalities encode different motion stimuli. Applying a frequency-domain system identification analysis, we find that the tracking behavior is, in fact, multisensory and arises from a linear summation of visual and mechanosensory pathways. The response dynamics are highly preserved across individuals, providing a model for predicting the response to novel multimodal stimuli. Surprisingly, we find that each pathway in and of itself is sufficient for driving tracking behavior. When multiple sensory pathways elicit strong behavioral responses, this parallel architecture furnishes robustness via redundancy.
authors: Department of Biology, University of Washington, Seattle, WA 98195; eatai@uw.edu.
authors: Eatai
authors: E
authors: Roth
authors: Department of Biology, University of Washington, Seattle, WA 98195.
authors: Robert W
authors: RW
authors: Hall
authors: Department of Biology, University of Washington, Seattle, WA 98195.
authors: Thomas L
authors: TL
authors: Daniel
authors: School of Physics, Georgia Institute of Technology, Atlanta, GA 30332.|School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332.
authors: Simon
authors: S
authors: Sponberg
keywords: animal locomotion; control theory; redundancy; sensory integration; system identification