title: Discrimination of features in natural scenes by a dragonfly neuron.
abstract: Flying insects engage in spectacular high-speed pursuit of targets, requiring visual discrimination of moving objects against cluttered backgrounds. As a first step toward understanding the neural basis for this complex task, we used computational modeling of insect small target motion detector (STMD) neurons to predict responses to features within natural scenes and then compared this with responses recorded from an identified STMD neuron in the dragonfly brain (Hemicordulia tau). A surprising model prediction confirmed by our electrophysiological recordings is that even heavily cluttered scenes contain very few features that excite these neurons, due largely to their exquisite tuning for small features. We also show that very subtle manipulations of the image cause dramatic changes in the response of this neuron, because of the complex inhibitory and facilitatory interactions within the receptive field.
authors.affiliation: Adelaide Centre for Neuroscience Research, School of Medical Sciences, The University of Adelaide, Adelaide SA 5005, Australia. steven.wiederman@adelaide.edu.au
authors.forename: Steven D
authors.initials: SD
authors.lastname: Wiederman
authors.forename: David C
authors.initials: DC
authors.lastname: O'Carroll
mesh_terms: D000818:Animals; D003198:Computer Simulation; D004192:Discrimination, Psychological / Q000502:physiology*; D004594:Electrophysiology; D007313:Insecta / Q000502:physiology*; D008297:Male; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D010775:Photic Stimulation; D014795:Visual Pathways / Q000502:physiology; D014796:Visual Perception / Q000502:physiology*