Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/93431
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Properties of neuronal facilitation that improve target tracking in natural pursuit simulations
Author: Bagheri, Z.
Wiederman, S.
Cazzolato, B.
Grainger, S.
O'Carroll, D.
Citation: Journal of the Royal Society Interface, 2015; 12(108):20150083-1-20150083-13
Publisher: The Royal Society
Issue Date: 2015
ISSN: 1742-5689
1742-5662
Statement of
Responsibility: 
Zahra M. Bagheri, Steven D. Wiederman, Benjamin S. Cazzolato, Steven Grainger, and David C. O, Carroll
Abstract: Although flying insects have limited visual acuity (approx. 1°) and relatively small brains, many species pursue tiny targets against cluttered backgrounds with high success. Our previous computational model, inspired by electrophysiological recordings from insect ‘small target motion detector’(STMD) neurons, did not account for several key properties described from the biological system. These include the recent observations of response ‘facilitation’ (a slow build-up of response to targets that move on long, continuous trajectories) and ‘selective attention’, a competitive mechanism that selects one target from alternatives. Here, we present an elaborated STMD-inspired model, implemented in a closed loop target-tracking system that uses an active saccadic gaze fixation strategy inspired by insect pursuit. We test this system against heavily cluttered natural scenes. Inclusion of facilitation not only substantially improves success for even short-duration pursuits, but it also enhances the ability to ‘attend’ to one target in the presence of distracters. Our model predicts optimal facilitation parameters that are static in space and dynamic in time, changing with respect to the amount of background clutter and the intended purpose of the pursuit. Our results provide insights into insect neurophysiology and show the potential of this algorithm for implementation in artificial visual systems and robotic applications
Keywords: Bioinspired system; insect vision; target tracking; insect physiology; select attention; motion detection
Rights: © 2015 The Author(s) Published by the Royal Society. All rights reserve
RMID: 0030030528
DOI: 10.1098/rsif.2015.0083
Grant ID: http://purl.org/au-research/grants/arc/DP130104572
Appears in Collections:Mechanical Engineering publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.