Steven Wiederman

Research Interests

Neuroscience, Behaviour and Brain Health

Associate Professor Steven Wiederman

Associate Professor Level D

School of Pharmacy and Biomedical Science

College of Health

Eligible to supervise Masters and PhD - email supervisor to discuss availability.

A/Prof Steven Wiederman is Associate Dean Research for the Faculty of Health and Medical Sciences, The University of Adelaide. He heads the Visual Physiology & Neurobotics Laboratory in the School of Biomedicine and is presently a member of the ARC College of Experts. A/Prof Wiederman’s interdisciplinary laboratory uses flying insects as a tractable animal model, investigating visual processing from behavioural, physiological, anatomical and computational perspectives. He has held an ARC DECRA and Future Fellowship and presently holds two Discovery projects. He has been an investigator on industry-government research contracts crossing fields of neurophysiology, autonomous systems and human factors.In the Visual Physiology and Neurobotics Laboratory (VPNL), we study how the brain processes visual information. Consider a human catching a ball, a dog leaping at a Frisbee or a dragonfly hunting prey amidst a swarm. Brains large and small evolved the ability to predictively, focus attention on a moving target, whilst ignoring distracters and background clutter. We use electrophysiological techniques to investigate how flying insects see the world and build autonomous robots that emulate these neuronal principles.

Lab Logo
(1) Capture behavioral data with arrays of medium-speed video cameras.
(2) Use intracellular, recording techniques to characterize neuronal physiology.
(3) Use dye-filling to examine underlying neuronal architecture.
(4) Develop computational models that mimic complex biological behavior.
(5) Design autonomous robots based on bio-inspired sensory and control processes.

Insects have evolved a relatively simple and efficient solution to a task that challenges the most sophisticated robotic vision systems – the detection, selection and pursuit of moving features in cluttered environments. 

modelsResearch Project: Target-detecting neurons in the dragonfly. We study a set of neurons from the brain of insects that achieve this visual target-detection task in spectacular fashion. Our most recent work suggests that the insects use sophisticated mechanisms of attention similar to those in primates, to aid in the selection of one feature even in the presence of distracters (e.g. feeding in a swarm).
How do dragonfly target-detecting neurons discriminate moving targets amidst visual clutter whilst in closed-loop pursuit?
How do neuronal responses enable ‘prediction coding’ (estimating target trajectories) and ‘selective attention’ (selecting one target amidst distracters)? In this project, we are applying pharmacological agents and conducting immunohistochemistry to investigate the cellular mechanisms that underlie these properties observed in target-detecting neurons. This project is suitable for Masters and PhD students, however we also have contributing projects for 3rd year and Honours students, for example, examining the effect of individual pharmacological agents on earlier visual processing pathways.

Brain sizeResearch Project: Optic-flow neurons in the dragonfly. We recently discovered a set of neurons in the dragonfly optic lobes that respond to wide-field motion stimuli.  Unlike their fly counterparts, these dragonfly visual neurons use adaptive processes to allow them to encode different velocity ranges. This likely underlies their ability to hover near stationary, yet pursue prey at speeds over 60 km/hr. In this project, we will use electrophysiological techniques to record from optic flow neurons and discover how they are able to respond to diverse visual stimuli in such a remarkable manner. This project is suitable for Masters and PhD students.

Research Project: Computational Modeling. Combining electrophysiological experiments with computational modeling permits us to address important question in neuroscience. We have projects modeling target and optic-flow neurons more suited to students with a computational background.  Students can tailor their projects to include both wet and dry neurosciences. We have variants of these projects that are suitable for Honours, Masters and PhD students. We also host Engineering students in our laboratory to conduct projects in this field of research. 

HTauResearch Project: Neurobotics: The physiological data obtained in our laboratory feeds into our robotics projects, as we implement neuronal processing onto an autonomous platform. This research involves computational modelling and hardware development, and is therefore suited to those with mathematical or engineering backgrounds. We work with collaborators in both Mechanical Engineering, Electrical Engineering and Computer Sciences on jointly supervised projects. 

Research Project: Neuro-inspired Deep Learning: In collaboration with Computer Sciences, we are working on developing novel deep learning networks, suitable for the task of visual feature discrimination. These Defence funded projects for Honours, Masters and PhD students have special requirements, such as Australian Citizenship. Additional top-up scholarships may apply in some conditions.

Media Links:

The Advertiser (2017), SA universities join forces to win slice of defence dollars
Wall Street Journal (2015), Scientists Tap Dragonfly Vision to Build a Better Bionic Eye
Australian Financial Review (2017), University of Adelaide test dragonfly neuron for artificial vision system
SAE (2017), Dragonfly study yields insight into vehicle autonomy
United Press International (2017), Dragonflies can predict their prey's next move
United Press International (2017), Honey bees have sharper eyesight than we thought 
The Engineer (2017), Dragonfly inspires predictive vision for driverless cars
Daily Mail (2017), Dragonfly's brains can predict the movement of their prey
Gizmodo (2017), How the Dragonfly's Surprisingly Complex Brain Makes it a Deadly Hunter
Popular Science (2013), How Dragonflies Could Help Scientists Build Better Robots
New York Times (2013), Nature’s Drone, Pretty and Deadly
NBC News (2012), Dragonfly has human-like power of concentration
Science Daily (2012), Dragonflies have human-like 'selective attention
Science Daily (2013), Dragonflies can see by switching 'on' and 'off'
Science Daily (2015), Robot eyes will benefit from insect vision
Science Daily (2017), Dragonfly brains predict the path of their prey
Science Daily (2017), Honey bees have sharper eyesight than we thought 
The Conversation (2012), Enter the dragonfly: insect shows human-like visual attention

 

 

Date Position Institution name
2020 - ongoing Associate Professor University of Adelaide
2016 - 2019 Senior Lecturer University of Adelaide
2014 - 2015 Lecturer University of Adelaide
2013 - 2014 ARC Senior Research Associate University of Adelaide
2011 - 2012 Postdoctoral Researcher University of Adelaide
2009 - 2011 Associate Lecturer University of Adelaide

Date Institution name Country Title
2006 - 2007 University of Adelaide Australia Graduate Certificate In Education (Higher Ed)
2005 University of Technology, Sydney Australia Bachelor of Engineering (Comp Sys) 1st Class Hons
2005 University of Technology, Sydney Australia Bachelor of Medical Sciences
2005 - 2008 University of Adelaide Australia PhD

Year Citation
2026 Schwarz, M. B., Evans, B. J. E., O'Carroll, D. C., Fabian, J. M., & Wiederman, S. D. (2026). Dragonfly target-detecting neurons adapt to stimulus saliency.. Vision Res, 238, 108713.
DOI
2024 Hussaini, M. M., Evans, B. J. E., O'Carroll, D. C., & Wiederman, S. D. (2024). Temperature modulates the tuning properties of small target motion detector neurons in the dragonfly visual system. Current Biology, 34(18), 4332-4337.
DOI Scopus3 WoS4 Europe PMC1
2024 Schwarz, M. B., O'Carroll, D. C., Evans, B. J. E., Fabian, J. M., & Wiederman, S. D. (2024). Localized and Long-Lasting Adaptation in Dragonfly Target-Detecting Neurons. eNeuro, 11(9), ENEURO.0036-1-ENEURO.0036-14.
DOI
2023 Fabian, J. M., O'Carrol, D. C., & Wiederman, S. D. (2023). Sparse spike trains and the limitation of rate codes underlying rapid behaviours.. Biology Letters, 19(5), 20230099.
DOI Scopus2 WoS2 Europe PMC3
2022 Evans, B. J. E., O'Carroll, D. C., Fabian, J. M., & Wiederman, S. D. (2022). Dragonfly Neurons Selectively Attend to Targets Within Natural Scenes. Frontiers in Cellular Neuroscience, 16, 1-13.
DOI Scopus9 WoS8 Europe PMC5
2022 Lancer, B. H., Evans, B. J. E., Fabian, J. M., O'Carroll, D. C., & Wiederman, S. D. (2022). Preattentive facilitation of target trajectories in a dragonfly visual neuron. Communications Biology, 5(1), 829-1-829-13.
DOI Scopus6 WoS6 Europe PMC5
2022 Han, M., Evans, S., Mustafa, S., Wiederman, S., & Ebendorff-Heidepriem, H. (2022). Controlled delivery of quantum dots using microelectrophoresis technique: intracellular behavior and preservation of cell viability. Bioelectrochemistry, 144, 108035-1-108035-9.
DOI
2021 Bekkouche, B. M. B., Shoemaker, P. A., Fabian, J. M., Rigosi, E., Wiederman, S. D., & O’Carroll, D. C. (2021). Modeling nonlinear dendritic processing of facilitation in a dragonfly target-tracking neuron. Frontiers in Neural Circuits, 15, 684872-1-684872-17.
DOI Scopus2 WoS1
2021 James, J., Cazzolato, B. S., Grainger, S., & Wiederman, S. D. (2021). Nonlinear, neuronal adaptation in insect vision models improves target discrimination within repetitively moving backgrounds. Bioinspiration and Biomimetics, 16(6), 16 pages.
DOI Scopus4 WoS4 Europe PMC3
2021 Fabian, J. M., & Wiederman, S. D. (2021). Spike bursting in a dragonfly target-detecting neuron. Scientific Reports, 11(1), 4005-1-4005-6.
DOI Scopus7 WoS7 Europe PMC6
2021 Han, M., Zhao, J., Fabian, J. M., Evans, S., Mustafa, S., Ruan, Y., . . . Ebendorff-Heidepriem, H. (2021). Cytoplasmic delivery of quantum dots via microelectrophoresis technique. Electrophoresis, 42(11), 1247-1254.
DOI Scopus3 WoS4 Europe PMC2
2020 Lancer, B. H., Evans, B. J. E., & Wiederman, S. D. (2020). The visual neuroecology of anisoptera. Current Opinion in Insect Science, 42, 14-22.
DOI Scopus10 WoS11 Europe PMC6
2019 Fabian, J. M., Dunbier, J. R., O Carroll, D. C., & Wiederman, S. D. (2019). Properties of predictive gain modulation in a dragonfly visual neuron. The Journal of experimental biology, 222(17), 1-8.
DOI Scopus17 WoS16 Europe PMC11
2019 Evans, B. J. E., O'Carroll, D. C., Fabian, J., & Wiederman, S. D. (2019). Differential tuning to visual motion allows robust encoding of optic flow in the dragonfly. The Journal of Neuroscience, 39(41), 8051-8063.
DOI Scopus15 WoS17 Europe PMC9
2019 Lancer, B. H., Evans, B. J. E., Fabian, J. M., O'Carroll, D. C., & Wiederman, S. D. (2019). A target-detecting visual neuron in the dragonfly locks-on to selectively attended targets. The Journal of Neuroscience, 39(43), 8497-8509.
DOI Scopus27 WoS29 Europe PMC14
2018 Evans, B., O'Carroll, D., Fabian, J., & Wiederman, S. (2018). Differential adaptation to visual motion allows robust encoding of optic flow in the dragonfly.
DOI
2018 Fabian, J., Dunbier, J., O'Carroll, D., & Wiederman, S. (2018). Properties of Predictive Gain Modulation in a Dragonfly Visual Neuron.
DOI
2018 Lancer, B., Evans, B. J. E., Fabian, J., O'Carroll, D., & Wiederman, S. (2018). Target-detecting neurons in the dragonfly lock on to selectively attended targets.
DOI
2017 Rigosi, E., Wiederman, S., & O'Carroll, D. (2017). Visual acuity of the honey bee retina and the limits for feature detection. Scientific Reports, 7(1), 7 pages.
DOI Scopus30 WoS31 Europe PMC21
2017 Bagheri, Z., Cazzolato, B., Grainger, S., O'Carroll, D., & Wiederman, S. (2017). An autonomous robot inspired by insect neurophysiology pursues moving features in natural environments. Journal of Neural Engineering, 14(4), 046030-1-046030-15.
DOI Scopus36 WoS33 Europe PMC16
2017 Wiederman, S., Fabian, J., Dunbier, J., & O Carroll, D. (2017). A predictive focus of gain modulation encodes target trajectories in insect vision. eLife, 6, 19 pages.
DOI Scopus53 WoS53 Europe PMC30
2017 Rigosi, E., Wiederman, S., & O'Carroll, D. (2017). Photoreceptor signalling is sufficient to explain the detectability threshold of insect aerial pursuers. Journal of Experimental Biology, 220(23), 4364-4369.
DOI Scopus5 WoS4 Europe PMC3
2017 Bagheri, Z., Wiederman, S., Cazzolato, B., Grainger, S., & O'Carroll, D. (2017). Performance of an insect-inspired target tracker in natural conditions. Bioinspiration and Biomimetics, 12(2), 025006-1-025006-16.
DOI Scopus48 WoS45 Europe PMC16
2015 Bagheri, Z., Wiederman, S., Cazzolato, B., Grainger, S., & O'Carroll, D. (2015). Properties of neuronal facilitation that improve target tracking in natural pursuit simulations. Journal of the Royal Society Interface, 12(108), 20150083-1-20150083-13.
DOI Scopus14 WoS12 Europe PMC7
2014 O'Carroll, D., & Wiederman, S. (2014). Contrast sensitivity and the detection of moving patterns and features. Philosophical Transactions of the Royal Society of London Series B-Biological Sciences, 369(1636), 20130043-1-20130043-10.
DOI Scopus59 WoS58 Europe PMC38
2013 Wiederman, S., & O’Carroll, D. (2013). Biologically inspired feature detection using cascaded correlations of off and on channels. Journal of Artificial Intelligence and Soft Computing Research, 3(1), 5-14.
DOI Scopus26 WoS22
2013 Wiederman, S., Shoemaker, P., & O'Carroll, D. (2013). Correlation between OFF and ON channels underlies dark target selectivity in an insect visual system. The Journal of Neuroscience, 33(32), 13225-13232.
DOI Scopus45 WoS43 Europe PMC36
2013 Wiederman, S., & O'Carroll, D. (2013). Selective attention in an insect visual neuron. Current Biology, 23(2), 156-161.
DOI Scopus88 WoS85 Europe PMC45
2012 Dunbier, J., Wiederman, S., Shoemaker, P., & O'Carroll, D. (2012). Facilitation of dragonfly target-detecting neurons by slow moving features on continuous paths. Frontiers in Neural Circuits, 6(OCTOBER 2012), 1-29.
DOI Scopus41 WoS40 Europe PMC22
2012 Horton, D., Wiederman, S., & Saint, D. (2012). Assessment outcome is weakly correlated with lecture attendance: influence of learning style and use of alternative materials. Advances in Physiology Education, 36(2), 108-115.
DOI Scopus57 WoS47 Europe PMC31
2011 Wiederman, S., & O'Carroll, D. (2011). Discrimination of features in natural scenes by a dragonfly neuron. Journal of Neuroscience, 31(19), 7141-7144.
DOI Scopus39 WoS37 Europe PMC21
2010 Wiederman, S., Brinkworth, R., & O'Carroll, D. (2010). Performance of a bio-inspired model for the robust detection of moving targets in high dynamic range natural scenes. Journal of Computational and Theoretical Nanoscience, 7(5 Sp Iss), 911-920.
DOI Scopus24 WoS18
2008 Wiederman, S., Shoemaker, P., & O'Carroll, D. (2008). A model for the detection of moving targets in visual clutter inspired by insect physiology. PLoS One, 3(7), 1-11.
DOI Scopus124 WoS111 Europe PMC58
- Kerry, H., Steven, W., Benjamin, C., & David, O. (2013). Local facilitation improves success in closed loop simulations of insect small target pursuit. Frontiers in Physiology, 4.
DOI

Year Citation
2023 Pratt, H. C., Evans, B. J. E., Reid, I. D., & Wiederman, S. D. (2023). Ball Detection for a Lightweight Mobile Platform. In Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA 2023) (pp. 89-96). Online: Institute of Electrical and Electronics Engineers (IEEE).
DOI
2020 Pratt, H., Evans, B., Rowntree, T., Reid, I., & Wiederman, S. (2020). Recurrent Motion Neural Network for Low Resolution Drone Detection. In Proceedings of the Digital Image Computing: Techniques and Applications (DICTA 2020) (pp. 1-7). online: IEEE.
DOI Scopus2 WoS1
2019 James, J. V., Cazzolato, B. S., Grainger, S., & Wiederman, S. D. (2019). A probabilistic tracker for a bio-inspired target detection algorithm. In Australasian Conference on Robotics and Automation, ACRA Vol. 2019-December (pp. 1-10). online: ARAA.
2018 James, J. V., Cazzolato, B. S., Grainger, S., O'Carroll, D. C., & Wiederman, S. D. (2018). An insect-inspired detection algorithm for aerial drone detection. In Australasian Conference on Robotics and Automation, ACRA Vol. 2018-December (pp. 1-9). Online: Australasian Robotics and Automation Association.
2017 Bekkouche, B., Shoemaker, P., Fabian, J., Rigosi, E., Wiederman, S., & O Carroll, D. (2017). Multicompartment simulations of NMDA receptor based facilitation in an insect target tracking neuron. In A. Lintas, S. Rovetta, P. Verschure, & A. Villa (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10613 LNCS (pp. 397-404). Alghero, ITALY: SPRINGER INTERNATIONAL PUBLISHING AG.
DOI Scopus2 WoS2
2016 Evans, B., O'Carroll, D., & Wiederman, S. (2016). Salience invariance with divisive normalization in higher-order insect neurons. In A. Beghdadi, S. Bourennane, A. Bouzerdoum, M. Pedersen, L. Oudre, & R. Jiang (Eds.), Proceedings of the 2016 6th European Workshop on Visual Information Processing (pp. 1-6). Marseille, France: IEEE.
DOI Scopus3
2015 Evans, B., Parslow, B., O'Carroll, D., & Wiederman, S. (2015). Quantifying asynchrony of multiple cameras using aliased optical devices. In R. Jennane (Ed.), Proceedings of the 5th International Conference on Image Processing, Theory, Tools and Applications (pp. 567-572). Orleans, France: IEEE.
DOI Scopus3 WoS2
2015 Parslow, B., Evans, B., O'Carroll, D., & Wiederman, S. (2015). Multi-focal video fusion with a beam splitter prism. In R. Jennane (Ed.), 5th International Conference on Image Processing, Theory, Tools and Applications 2015, IPTA 2015 (pp. 556-560). Orleans, France: IEEE.
DOI Scopus1 WoS1
2015 Bagheri, Z., Wiederman, S., Cazzolato, B., Grainger, S., & O'Carroll, D. (2015). Robustness and Real-Time Performance of an Insect Inspired Target Tracking Algorithm Under Natural Conditions. In Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015 (pp. 97-102). Cape Town, SOUTH AFRICA: IEEE.
DOI Scopus2 WoS2
2014 Bagheri, Z., Wiederman, S., Cazzolato, B., Grainger, S., & O'Carroll, D. (2014). A biologically inspired facilitation mechanism enhances the detection and pursuit of targets of varying contrast. In Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA 2014) (pp. 1-5). Wollongong, NSW: IEEE.
DOI Scopus4
2014 Bagheri., Wiederman., Cazzolato, B., Grainger., & O'Carroll. (2014). Performance assessment of an insect-inspired target tracking model in background clutter. In Proceedings of the 13th International Conference on Control, Automation, Robotics and Vision, ICARCV 2014 (pp. 822-826). Singapore: IEEE.
DOI Scopus4 WoS4
2014 Bagheri., Cazzolato, B., wiederman., grainger., & O'Carrol. (2014). An insect inspired object tracking mechanism for autonomous vehicles. In 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO) (pp. 30-38). Vienna, Austria: SCITEPRESS, Science and Technology Publications.
2013 Halupka, K., Wiederman, S., Cazzolato, B., & O'Carroll, D. (2013). Bio-inspired feature extraction and enhancement of targets moving against visual clutter during closed loop pursuit. In Proceedings of the 2013 20th IEEE International Conference on Image Processing, ICIP 2013 (pp. 4098-4102). online: IEEE.
DOI Scopus6 WoS4
2013 Shoemaker, P., Wiederman, S., & O'Carroll, D. (2013). Can a competitive neural network explain selective attention in insect target tracking neurons?. In 6th Annual International IEEE EMBS Conference on Neural Engineering San Diego, California, 6 - 8 November, 2013 (pp. 903-906). USA: IEEE.
DOI
2013 Wiederman, S., & O'Carroll, D. (2013). Biomimetic target detection: modeling 2nd order correlation of OFF and ON channels. In Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing, CIMSIVP 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013 (pp. 16-21). USA: IEEE.
DOI Scopus13 WoS8
2011 Wiederman, S., Dunbier, J., & O'Carroll, D. (2011). Modeling inhibitory interactions shaping neural responses of target neurons to multiple features. In Proceedings of the 2011 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2011 (pp. 73-78). USA: IEEE.
DOI
2011 Dunbier, J., Wiederman, S., Shoemaker, P., & O'Carroll, D. (2011). Modelling the temporal response properties of an insect small target motion detector. In Proceedings of the 2011 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2011 (pp. 125-130). USA: IEEE.
DOI Scopus11
2011 Halupka, K., Wiederman, S., Cazzolato, B., & O'Carroll, D. (2011). Discrete implementation of biologically inspired image processing for target detection. In Proceedings of ISSNIP 2011 (pp. 143-148). USA: IEEE.
DOI Scopus12
2010 Wiederman, S. D., & O'Carroll, D. C. (2010). Computational modeling of inhibitory interactions underlying neural mechanisms for target discrimination. In Proceedings of the 2010 International Conference on Image Processing Computer Vision and Pattern Recognition Ipcv 2010 Vol. 2 (pp. 841-845).
2008 Wiederman, S., Brinkworth, R., & O'Carroll, D. (2008). Bio-inspired small target discrimination in high dynamic range natural scenes. In Proceedings of the Third International Conference on Bio-Inspired Computing: Theory and Applications (BIC-TA 2008) (pp. 109-116). USA: IEEE.
DOI Scopus8 WoS6
2008 Wiederman, S., Brinkworth, R., & O'Carroll, D. (2008). Bio-inspired target detection in natural scenes: Optimal thresholds and ego-motion. In S P I E - International Society for Optical Engineering Vol. 7035 (pp. 1-11). Bellingham, Wa, USA: S P I E - International Society for Optical Engineering.
DOI Scopus8 WoS7
2007 Wiederman, S., Shoemaker, P., & O'Carroll, D. (2007). Biological inspired small target detection mechanisms. In M. Palaniswami (Ed.), Intelligent Sensors, Sensor Networks and Information,2007 (pp. 269-274). Melbourne: Intelligent Sensors, Sensor Networks and Information 2007.
DOI Scopus8 WoS7
- An insect inspired object tracking mechanism for autonomous vehicles (n.d.).

Year Citation
2023 Evans, B., Wiederman, S., & Lancer, B. (2023). Inhibitory Networks Explain Selective Attention in Dragonfly Target Detecting Neurons. Poster session presented at the meeting of JOURNAL OF COMPUTATIONAL NEUROSCIENCE. SPRINGER.
2022 Millar, S., O'Rielly, J., McConnochie, G., Blencowe, M., Turner, L., Wiederman, S., . . . Thewlis, D. (2022). Moving from the lab to the field: accuracy and reliability of wearable sensors in the estimation of lower limb joint kinematics. Poster session presented at the meeting of Defence Human Sciences Symposium.
2022 O'Rielly, J., Millar, S., Blencowe, M., Turner, L., Wiederman, S., Palmer, E., . . . Ma-Wyatt, A. (2022). Visual perceptual performance during locomotion: implications for information display technologies. Poster session presented at the meeting of Defence Human Sciences Symposium.
2019 Han, M. (2019). Intracellular delivery of nanoparticles via microelectrophoresis technique. Poster session presented at the meeting of Proceedings Volume 10893, Reporters, Markers, Dyes, Nanoparticles, and Molecular Probes for Biomedical Applications XI; 108930C (2019) https://doi.org/10.1117/12.2507707. San Francisco, California, United States.
2013 James, D., Steven, W., & David, O. (2013). Mapping predictive facilitation in a dragonfly target neuron. Poster session presented at the meeting of Frontiers in Physiology. Frontiers Media SA.
DOI
2010 Horton, D., Wiederman, S., & Saint, D. (2010). Lecture attendance, learning style and assessment outcome in physiology students. Poster session presented at the meeting of The Education Research Group of Adelaid. Adelaide, Australia: The University of Adelaide.
- David, O., & Steven, W. (n.d.). Contrast sensitivity and spatial inhibition in insect small target motion detectors. Poster session presented at the meeting of Frontiers in Physiology. Frontiers Media SA.
DOI
- Steven, W., James, D., & David, O. (n.d.). Selective attention in the dragonfly. Poster session presented at the meeting of Frontiers in Physiology. Frontiers Media SA.
DOI
- Liliana, C., Steven, W., & David, O. (n.d.). Retinal movements in the blowfly Calliphora Stygia. Poster session presented at the meeting of Frontiers in Physiology. Frontiers Media SA.
DOI

Year Citation
2013 O'Carroll, D. C., Wiederman, S. D., & Shoemaker, P. A. (2013). Mechanism for Visual Detection of Small Targets in Insects. Defense Technical Information Center.
DOI

Year Citation
2009 Wiederman, S. (2009). A neurobiological and computational analysis of target discrimination in visual clutter by the insect visual system. (PhD Thesis, The University of Adelaide).
- Wiederman, S. (n.d.). Wiederman SD, PhD Thesis.
DOI

Year Citation
- Fabian, J., Wiederman, S., & O'Carroll, D. (n.d.). Sparse spike trains and the limitation of rate codes underlying rapid behaviours - data.
DOI
- Wiederman, S. (n.d.). Burst Coding.
DOI

Year Citation
- James, J., Wiederman, S., Cazzolato, B., & Grainger, S. (n.d.). ACRA_files_2018_and_2019.zip [Computer Software].
DOI
- Hussaini, M., Evans, B., & Wiederman, S. (n.d.). Data analysis scripts for 'Higher temperatures improve visual sensitivity and broadens tuning to faster velocities in dragonfly target-detecting neurons' [Computer Software].
DOI

Year Citation
2022 Fabian, J., O’Carroll, D., & Wiederman, S. (2022). Sparse spike trains and the limitations of rate codes underlying rapid behaviour.
DOI
2021 Bekkouche, B., Shoemaker, P., Fabian, J., Rigosi, E., Wiederman, S., & O’Carroll, D. (2021). Modelling nonlinear dendritic processing of facilitation in a dragonfly target-tracking neuron.
DOI
2020 Fabian, J., el Jundi, B., Wiederman, S., & O’Carroll, D. (2020). The complex optic lobe of dragonflies.
DOI Europe PMC2
2020 Evans, B. J. E., Fabian, J. M., O’Carroll, D. C., & Wiederman, S. D. (2020). Dragonfly visual neurons selectively attend to features in naturalistic scenes.
DOI
2020 Han, M., Zhao, J., Fabian, J. M., Mustafa, S., Ruan, Y., Wiederman, S., & Ebendorff-Heidepriem, H. (2020). Intracellular Delivery of Nanoparticles<i>via</i>Microelectrophoresis Technique: Feasibility demonstration.
DOI

Australian Research Council Discovery Project - Dim Light Vision in Dragonflies, 2024-2027 
Australian Research Council Discovery Project - Flapping wing robotics, 2024 - 2027
Defence Trailblazer Bio-Inspired Counter-Uncrewed Aerial Systems (CUAS), 2024-2025
Australian Research Council Future Fellowship, 2018-2022
Next Generation Technologies Fund, Counter Improvised Threats Grand Challenge, 2018-2020
Australian Research Council Discovery Early Career Researcher Award, 2015-2017
 

Course Coordinator and Lecturer in the 3rd Year Course, Cellular & System Neurobiology
Lecturer in Human Physiology IIA and Dentistry

 

Date Role Research Topic Program Degree Type Student Load Student Name
2022 Co-Supervisor The Effect of Information Displays and Associated Latencies on Aspects of Human Performance Including Cognition, Perception, and Locomotion Biomechanics Doctor of Philosophy Doctorate Part Time Miss Lucy Jane Turner
2022 Principal Supervisor The Effect of Temperature on the Electrophysiological Properties of Dragonfly Small Target Motion Detecting Neurons Doctor of Philosophy Doctorate Part Time Mr Mahdi Hussaini
2021 Co-Supervisor How do we use visual information while walking? Implications for the use of virtual
and augmented reality devices for training and deployment.		 Doctor of Philosophy Doctorate Part Time Mr Marlon Blencowe
2021 Principal Supervisor An anatomical and physiological investigation of odonate vision. Doctor of Philosophy Doctorate Part Time Miss Katie Marie Skeen
2019 Principal Supervisor The neurophysiology of dragonfly optic flow encoding with applications to neurobotic engineering Doctor of Philosophy Doctorate Part Time Mr Edward Luong

Date Role Research Topic Program Degree Type Student Load Student Name
2019 - 2023 Co-Supervisor Lightweight and Motion Guided Neural Network Algorithms for Onboard Drone Detection and Flight Doctor of Philosophy Doctorate Full Time Mr Hamish Christopher Pratt
2018 - 2022 Co-Supervisor Intracellular delivery and voltage sensitivity of nanomaterials for the optical imaging of neuronal activity Doctor of Philosophy Doctorate Full Time Ms Mengke Han
2018 - 2024 Principal Supervisor Adaptation in Dragonfly Target-Detecting Neurons Doctor of Philosophy Doctorate Part Time Mr Matthew Benjamin Schwarz
2017 - 2022 Principal Supervisor An Electrophysiological Investigation into Selective Attention in the Dragonfly Doctor of Philosophy Doctorate Part Time Mr Benjamin Horatio Lancer
2016 - 2023 Principal Supervisor A Computational Investigation of Target Detection and Tracking by Insect Small Target Motion Detector Neurons Doctor of Philosophy Doctorate Part Time John Vincent James
2015 - 2019 Principal Supervisor Neuronal Encoding of Natural Imagery in Dragonfly Motion Pathways Doctor of Philosophy Doctorate Full Time Bernard Evans
2015 - 2017 Co-Supervisor Microelectrophoresis of Semiconductive Quantum Dots Master of Philosophy Master Full Time Ms Mengke Han
2014 - 2017 Principal Supervisor A Neurobiological Investigation of Visual Target Detection and the Optic Lobe of Dragonflies Doctor of Philosophy Doctorate Full Time Mr Joseph Fabian
2013 - 2017 Co-Supervisor An Insect-Inspired Target Tracking Mechanism for Autonomous Vehicles Doctor of Philosophy Doctorate Full Time Miss Zahra Bagheri
2010 - 2014 Co-Supervisor Facilitation in Dragonfly Target Motion Detecting Neurons Doctor of Philosophy Doctorate Full Time Mr James Robert Dunbier

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