Motion adaptation facilitates optic flow-based spatial vision

Li J (2017)
Bielefeld University.

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Abstract / Bemerkung
Neuronal representation and extraction of spatial information are essential for behavioral control. For flying insects, a plausible way to gain spatial information is to exploit distance-dependent optic flow that is generated during translational self-motion. Optic flow is computed by arrays of local motion detectors retinotopically arranged in the second neuropile layer of the insect visual system. These motion detectors have adaptive response characteristics, i.e. their responses to motion with a constant or only slowly changing velocity decrease, while their sensitivity to rapid velocity changes is maintained or even increases. We analyzed by a modeling approach how motion adaptation affects signal representation at the output of arrays of motion detectors during simulated flight in artificial and natural 3D environments. We focused on translational flight, because spatial information is only contained in the optic flow induced by translational locomotion. Indeed, flies, bees and other insects segregate their flight into relatively long intersaccadic translational flight sections interspersed with brief and rapid saccadic turns, presumably to maximize periods of translation (80% of the flight). With a novel adaptive model of the insect visual motion pathway, we could show that the motion detector responses to background structures of cluttered environments are largely attenuated as a consequence of motion adaptation, while responses to foreground objects stay constant or even increase. This conclusion even holds under the dynamic flight conditions of insects.
Stichworte
optic flow; spatial vision; motion adaptation; 3D environment; dynamic flight; computational modeling; insect; fly
Erscheinungsjahr
2017
Page URI
https://pub.uni-bielefeld.de/record/2915797

Zitieren

Li J. Motion adaptation facilitates optic flow-based spatial vision. Bielefeld University; 2017.
Li, J. (2017). Motion adaptation facilitates optic flow-based spatial vision. Bielefeld University. doi:10.4119/unibi/2915797
Li, J. (2017). Motion adaptation facilitates optic flow-based spatial vision. Bielefeld University.
Li, J., 2017. Motion adaptation facilitates optic flow-based spatial vision, Bielefeld University.
J. Li, Motion adaptation facilitates optic flow-based spatial vision, Bielefeld University, 2017.
Li, J.: Motion adaptation facilitates optic flow-based spatial vision. Bielefeld University (2017).
Li, Jinglin. Motion adaptation facilitates optic flow-based spatial vision. Bielefeld University, 2017.
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