Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/137380
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Type: Journal article
Title: Dragonfly Neurons Selectively Attend to Targets Within Natural Scenes
Author: Evans, B.J.E.
O'Carroll, D.C.
Fabian, J.M.
Wiederman, S.D.
Citation: Frontiers in Cellular Neuroscience, 2022; 16:1-13
Publisher: Frontiers Media
Issue Date: 2022
ISSN: 1662-5102
1662-5102
Statement of
Responsibility: 
Bernard John Essex Evans, David Charles O, Carroll, Joseph Mahandas Fabian, and Steven D. Wiederman
Abstract: Aerial predators, such as the dragonfly, determine the position and movement of their prey even when both are moving through complex, natural scenes. This task is likely supported by a group of neurons in the optic lobe which respond to moving targets that subtend less than a few degrees. These Small Target Motion Detector (STMD) neurons are tuned to both target size and velocity, whilst also exhibiting facilitated responses to targets traveling along continuous trajectories. When presented with a pair of targets, some STMDs generate spiking activity that represent a competitive selection of one target, as if the alternative does not exist (i.e., selective attention). Here, we describe intracellular responses of CSTMD1 (an identified STMD) to the visual presentation of targets embedded within cluttered, natural scenes. We examine CSTMD1 response changes to target contrast, as well as a range of target and background velocities. We find that background motion affects CSTMD1 responses via the competitive selection between features within the natural scene. Here, robust discrimination of our artificially embedded “target” is limited to scenarios when its velocity is matched to, or greater than, the background velocity. Additionally, the background’s direction of motion affects discriminability, though not in the manner observed in STMDs of other flying insects. Our results highlight that CSTMD1’s competitive responses are to those features best matched to the neuron’s underlying spatiotemporal tuning, whether from the embedded target or other features in the background clutter. In many scenarios, CSTMD1 responds robustly to targets moving through cluttered scenes. However, whether this neuronal system could underlie the task of competitively selecting slow moving prey against fast-moving backgrounds remains an open question.
Keywords: dragonfly (Anisoptera)
vision science
electrophysiology
natural images (NI)
selective attention
Rights: © 2022 Evans, O’Carroll, Fabian and Wiederman. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
DOI: 10.3389/fncel.2022.857071
Grant ID: http://purl.org/au-research/grants/arc/FF180100466
Published version: http://dx.doi.org/10.3389/fncel.2022.857071
Appears in Collections:Molecular and Biomedical Science publications

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