Modelling Drosophila motion vision pathways for decoding the direction of translating objects against cluttered moving b
- PDF / 3,632,290 Bytes
- 18 Pages / 595.276 x 790.866 pts Page_size
- 23 Downloads / 155 Views
ORIGINAL ARTICLE
Modelling Drosophila motion vision pathways for decoding the direction of translating objects against cluttered moving backgrounds Qinbing Fu1,2
· Shigang Yue1,2
Received: 31 March 2020 / Accepted: 19 June 2020 © The Author(s) 2020
Abstract Decoding the direction of translating objects in front of cluttered moving backgrounds, accurately and efficiently, is still a challenging problem. In nature, lightweight and low-powered flying insects apply motion vision to detect a moving target in highly variable environments during flight, which are excellent paradigms to learn motion perception strategies. This paper investigates the fruit fly Drosophila motion vision pathways and presents computational modelling based on cuttingedge physiological researches. The proposed visual system model features bio-plausible ON and OFF pathways, wide-field horizontal-sensitive (HS) and vertical-sensitive (VS) systems. The main contributions of this research are on two aspects: (1) the proposed model articulates the forming of both direction-selective and direction-opponent responses, revealed as principal features of motion perception neural circuits, in a feed-forward manner; (2) it also shows robust direction selectivity to translating objects in front of cluttered moving backgrounds, via the modelling of spatiotemporal dynamics including combination of motion pre-filtering mechanisms and ensembles of local correlators inside both the ON and OFF pathways, which works effectively to suppress irrelevant background motion or distractors, and to improve the dynamic response. Accordingly, the direction of translating objects is decoded as global responses of both the HS and VS systems with positive or negative output indicating preferred-direction or null-direction translation. The experiments have verified the effectiveness of the proposed neural system model, and demonstrated its responsive preference to faster-moving, higher-contrast and larger-size targets embedded in cluttered moving backgrounds. Keywords Drosophila · Motion vision · ON and OFF pathways · Direction selectivity · Visual system model · Foreground translation perception
1 Introduction Intelligence is one of the amazing products through millions of years of evolutionary development, with which the features Communicated by Benjamin Lindner. This research has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement Nos. 691154 STEP2DYNA and 778602 ULTRACEPT.
B B
Qinbing Fu [email protected] Shigang Yue [email protected]
1
Machine Life and Intelligence Research Centre, Guangzhou University, Guangzhou, China
2
Computational Intelligence Lab/Lincoln Centre for Autonomous Systems, University of Lincoln, Lincoln, UK
of biological visual systems have been gradually learnt and acknowledged as powerful model systems towards building robust artificial visual systems. In nature, for the vast majority of animal species, a critically important feature of visual systems is
Data Loading...
