Associate Professor Steven Wiederman

Associate Professor Level D

School of Biomedicine

Faculty of Health and Medical Sciences

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

Associate Professor Steven Wiederman.

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.

We investigate visual processing from behavioural, computational and physiological levels, with a multidisciplinary team covering fields of neuroethology, neurobiology, psychology, computer vision and engineering.

My Research
Career
Publications
Grants and Funding
Teaching
Supervision
Contact

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.

models Research 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.

Research 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.

HTau Research 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

Appointments

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

Education

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

Research Interests

Neuroscience, Behaviour and Brain Health

Journals

Year	Citation
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.e2. DOI
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), 14 pages. 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 Scopus1 Europe PMC2
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 Scopus7 WoS3 Europe PMC4
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 Scopus4 WoS1 Europe PMC2
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
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. M. B., Shoemaker, P. A., Fabian, J. M., Rigosi, E., Wiederman, S. D., & O’Carroll, D. C. (2021). Modelling nonlinear dendritic processing of facilitation in a dragonfly target-tracking neuron. Frontiers in Neurol circuits. DOI
2021	Fabian, J. M., & Wiederman, S. D. (2021). Author Correction: Spike bursting in a dragonfly target-detecting neuron (Scientific Reports, (2021), 11, 1, (4005), 10.1038/s41598-021-83559-5). Scientific Reports, 11(1), 9596. 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
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 Scopus1 WoS1
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 Scopus6 WoS6 Europe PMC4
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 Scopus1 WoS2
2020	Han, M., Zhao, J., Fabian, J. M., Mustafa, S., Ruan, Y., Wiederman, S., & Ebendorff-Heidepriem, H. (2020). Intracellular Delivery of Nanoparticles via Microelectrophoresis Technique: Feasibility demonstration. DOI
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 Scopus7 WoS6 Europe PMC2
2020	Fabian, J. M., el Jundi, B., Wiederman, S. D., & O’Carroll, D. C. (2020). The complex optic lobe of dragonflies. Biorxiv. DOI
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 Scopus15 WoS9 Europe PMC8
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 Scopus14 WoS12 Europe PMC7
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 Scopus24 WoS22 Europe PMC9
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 Scopus29 WoS25 Europe PMC20
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 Scopus34 WoS27 Europe PMC9
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 Scopus49 WoS40 Europe PMC16
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 PMC2
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 Scopus46 WoS36 Europe PMC8
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 PMC3
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 Scopus57 WoS46 Europe PMC27
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 Scopus20 WoS11
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 Scopus43 WoS34 Europe PMC21
2013	Wiederman, S., & O'Carroll, D. (2013). Selective attention in an insect visual neuron. Current Biology, 23(2), 156-161. DOI Scopus79 WoS70 Europe PMC31
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 Scopus39 WoS34 Europe PMC19
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 Scopus53 WoS41 Europe PMC24
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 WoS30 Europe PMC15
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 WoS17
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 Scopus118 WoS92 Europe PMC45
-	Steven, W., James, D., & David, O. (n.d.). Selective attention in the dragonfly. Frontiers in Physiology, 4. DOI
-	Kerry, H., Steven, W., Benjamin, C., & David, O. (n.d.). Local facilitation improves success in closed loop simulations of insect small target pursuit. Frontiers in Physiology, 4. DOI
-	Liliana, C., Steven, W., & David, O. (n.d.). Retinal movements in the blowfly Calliphora Stygia. Frontiers in Physiology, 4. DOI

Book Chapters

Year	Citation
2012	Wiederman, S., Shoemaker, P., & O'Carroll, D. (2012). Insect physiology and detection of moving targets. In V. Lamoureux (Ed.), Current Research in Animal Physiology (pp. 148-167). Oakville, Canada: Apple Academic Press. DOI

Conference Papers

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 2023 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2023 (pp. 89-96). Online: 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 Scopus1
2019	James, J., Cazzolato, B., Grainger, S., & Wiederman, S. (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., Cazzolato, B., Grainger, S., O'Carroll, D., & Wiederman, S. (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 WoS1
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 Scopus11 WoS5
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	Horton, D., Wiederman, S., & Saint, D. (2010). Lecture attendance, learning style and assessment outcome in physiology students. In The Education Research Group of Adelaid (pp. The Changing Face of Education, 24-25 September, 2010). Adelaide, Australia: The University of Adelaide.
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 Scopus7 WoS5
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 Scopus7 WoS6
-	An insect inspired object tracking mechanism for autonomous vehicles (n.d.).

Conference Items

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
-	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

Report for External Bodies

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
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

Theses

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

Datasets

Year Citation

- Wiederman, S. (n.d.). Burst Coding.
DOI
Preprint

Year Citation

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

Year	Citation
-	Wiederman, S. (n.d.). Burst Coding. DOI

Year	Citation
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

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

Teaching

Lecturer of Sensory Systems in the 3rd Year Course, Cellular & System Neurobiology

Current Higher Degree by Research Supervision (University of Adelaide)

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	Full Time	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	Elucidation of the cellular mechanisms underlying small target motion detecting neurons (STMDs) in the dragonfly	Doctor of Philosophy	Doctorate	Part Time	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

Past Higher Degree by Research Supervision (University of Adelaide)

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	Joseph Mahandas 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

Position: Associate Professor Level D
Phone: 83134435
Email: steven.wiederman@adelaide.edu.au
Fax: 83134435
Campus: North Terrace
Building: Helen Mayo South, floor 4
Org Unit: Medical Sciences

Associate Professor Steven Wiederman

Appointments

Education

Research Interests

Journals

Book Chapters

Conference Papers

Conference Items

Report for External Bodies

Theses

Datasets

Preprint

Current Higher Degree by Research Supervision (University of Adelaide)

Past Higher Degree by Research Supervision (University of Adelaide)

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