A model for detection of angular velocity of image motion based on the temporal tuning of the drosophila

10Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.
Get full text

Abstract

We propose a new bio-plausible model based on the visual systems of Drosophila for estimating angular velocity of image motion in insects’ eyes. The model implements both preferred direction motion enhancement and non-preferred direction motion suppression which is discovered in Drosophila’s visual neural circuits recently to give a stronger directional selectivity. In addition, the angular velocity detecting model (AVDM) produces a response largely independent of the spatial frequency in grating experiments which enables insects to estimate the flight speed in cluttered environments. This also coincides with the behaviour experiments of honeybee flying through tunnels with stripes of different spatial frequencies.

Cite

CITATION STYLE

APA

Wang, H., Peng, J., Baxter, P., Zhang, C., Wang, Z., & Yue, S. (2018). A model for detection of angular velocity of image motion based on the temporal tuning of the drosophila. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11140 LNCS, pp. 37–46). Springer Verlag. https://doi.org/10.1007/978-3-030-01421-6_4

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free