Welcome to the Time in Brain and Behaviour Laboratory at the University of Melbourne, led by Dr Hinze Hogendoorn as Principal Investigator.
The lab investigates time in the brain, from a neural, cognitive, and behavioural perspective. We use computational methods and neuroimaging techniques, particularly multivariate EEG decoding, as well as psychophysical and behavioural approaches, to study how the brain works over time.
We investigate questions such as how time is encoded in the brain, and how the brain keeps track of time. We are especially interested in how the brain solves the computational problems that result from the brain itself needing time to process information. Have a look at our Projects page to see what we are currently working on!
Update (01-04-2020): We welcome Tim Cottier and Charlie Sexton as new PhD students in the lab!
Update (17-03-2020): We are very proud of Tessel's latest paper, just out in PNAS, using EEG to show that our brains predict the present!
Update (01-03-2020): We are very happy to welcome Caoimhe Moran as a new PhD student in our lab, co-supervised by Dr. Ayelet Landau as part of a collaboration with the Hebrew University of Jerusalem, Israel
- Dr Hinze Hogendoorn
Dr Hinze Hogendoorn
I am a Senior Research Fellow at the Melbourne School of Psychological Science, University of Melbourne, Australia. I lead the Time in Brain and Behaviour Laboratory as Principal Investigator, and I am also Deputy Director of the Decision Sciences Hub.
Previously, I was Assistant Professor in the Department of Experimental Psychology at Utrecht University in the Netherlands, and Fellow of Cognitive Neuroscience at University College Utrecht.
My primary research interests lie in the time-course of visual processing and visual perception. By combining psychophysical, behavioral, computational and neuroimaging techniques, I investigate questions such as how the brain keeps track of time and how the brain functions in real-time. I am currently especially interested in how the brain solves the computational problems that result from its own internal delays.
- Jim Maarseveen, MSc
- Tessel Blom, MSc
- Philippa Johnson, MSc
- Caoimhe Moran, MSc
- Jane Yook
- Tim Cottier
- Charlie Sexton
- Ferron Dearnley
- Chandelle Piazza
- Nicky Rickerby
- Joseph Gabriele
- Prof. Anthony Burkitt – Biomedical Engineering, University of Melbourne
- Dr. Stefan Bode – Decision Neuroscience Lab, University of Melbourne
- Prof. Allison McKendrick – Optometry and Vision Sciences, University of Melbourne
- Dr. Daniel Feuerriegel – Decision Neuroscience Lab, University of Melbourne
- A/Prof Geoff Stuart – University of Melbourne
- A/Prof Thomas Carlson – University of Sydney
- Prof. Frans Verstraten – University of Sydney
- Prof. David Alais – University of Sydney
- Dr. Hamish MacDougal – University of Sydney
- Prof. Patrick Cavanagh – Universite Paris Descartes, France
- Dr. Rufin VanRullen – CNRS Toulouse, France
- Elle van Heusden
- Elektra Schubert
- Adam Ryde
- Dominic Yip
- Chelsea Liang
- Duy Dao
- Ryan Maloney
- Ahmad Al-Dhalaan
- Kate Coffey
- Sidney Davies
- Lysha Lee
Predicting the Present
The brain needs time to process sensory input, meaning that our conscious experience of the world is based on information that is outdated by the time we perceive it. One way that the brain might compensate for its internal delays is by prediction. This project uses time-resolved EEG recordings to study the role of anticipatory neural activity in “predicting” the present.
Shortcuts to consciousness
Although the brain needs time to process sensory input, being able to rapidly detect and respond to events in the outside world is very important for any organism's survival. Because in some cases speed is more important than accuracy, our brains have evolved to sometimes 'fast-track' crucial information so that we are able to act on it. To do so, the brain makes assumptions, and when these assumptions are violated, visual illusions result: we see things that are not really happening. This project uses visual illusions such as the flash-lag effect to understand the shortcuts that the brain takes when compensating for its own delays.
When predictions fail
The brain uses predictive strategies to compensate for its own delays, allowing us to "see" objects where they are right now, even if the sensory information about "right now" has not yet been processed. But what happens if events unfold unpredictably, such as when a moving object changes direction? The brain would need time to detect that its prediction was wrong, and during that time it would continue to extrapolate the object along its initial trajectory. What happens to these failed predictions? How does the brain revise its old prediction? This project uses a combination of multivariate EEG decoding and behavioural techniques to understand how the brain corrects its failed predictions.
If you are interested in contributing to any of these projects, or have another idea you would like to discuss, please get in touch!
We gratefully acknowledge funding from the following sources:
Burkitt, A.N., & Hogendoorn, H. Predictive visual motion extrapolation emerges spontaneously and without supervision from a layered neural network with spike-timing-dependent plasticity. bioRxiv 2020.08.01.232595. (link)
Feuerriegel, D.C., Blom, T., & Hogendoorn, H. Predictive activation of sensory representations as a source of evidence in perceptual decision-making. PsyArXiv 10.31234/osf.io/rk7ef (link)
Feuerriegel, D.C., Yook, J., Quek, G.L., Hogendoorn, H., & Bode, S. Visual mismatch responses index surprise signalling but not expectation suppression. bioRxiv 2020.06.23.168187. (link)
Davidson, M.J., Mithen, W., Hogendoorn, H., van Boxtel, J.J.A., & Tsuchiya, N. A neural representation of invisibility: when stimulus-specific neural activity negatively correlates with conscious experience. bioRxiv 2020.04.20.051334. (link)
Whyte, C.J., Robinson, A.K., Grootswagers, T., Hogendoorn, H., & Carlson, T. A. Decoding Predictions and Violations of Object Position and Category in Time-resolved EEG. bioRxiv 2020.04.08.032888. (link)
Stuart, G.W., Yip, D., & Hogendoorn, H. (2020). The role of hue in visual search for texture differences: Implications for camouflage design. Vision Research 17, 16-26. (pdf)
Hogendoorn, H. (2020). Motion Extrapolation in Visual Processing: Lessons from 25 Years of Flash-Lag Debate. The Journal of Neuroscience 40(30), 5698–5705. (pdf)
Blom, T., Johnson, P., Feuerriegel, D., Bode, S., & Hogendoorn, H. (2020). Predictions drive neural representations of visual events ahead of incoming sensory information. Proceedings of the National Academy of Sciences USA. DOI 10.1073/pnas.1917777117. (pdf)
Coffey, K., Adamian, N., Blom, T., van Heusden, E., Cavanagh, P., & Hogendoorn, H. (2019). Expecting the unexpected: Temporal expectation increases the flash-grab effect. Journal of Vision 19(9). (pdf)
Hogendoorn, H. & Burkitt, A.N. (2019). Predictive coding with neural transmission delays: a real-time temporal alignment hypothesis. eNeuro 10.1523/ENEURO.0412-18.2019. (pdf).
Maarseveen, J., Paffen, C.L.E., Verstraten, F.A.J., & Hogendoorn, H. (2019). The duration aftereffect does not reflect adaptation to perceived duration. PLOS ONE 14(3): e0213163. (pdf)
Blom, T., Liang, Q., & Hogendoorn, H. (2019). When predictions fail: correction for extrapolation in the flash-grab effect. Journal of Vision 19(3). (pdf)
Van Heusden, E., Harris, A.M., Garrido, M., & Hogendoorn, H. (2019). Predictive coding of visual motion in both monocular and binocular human visual processing. Journal of Vision 19(3). (pdf)
Goddard, E., Klein, C., Solomon, S.G., Hogendoorn, H., & Carlson, T.A. (2018). Interpreting the dimensions of neural feature representations revealed by dimensionality reduction. NeuroImage 180A, 41-67. (pdf)
Van Heusden, E., Rolfs, M., Cavanagh, P., & Hogendoorn, H. (2018). Motion extrapolation for eye movements predicts perceived motion-induced position shifts. Journal of Neuroscience 38(38), 8243-8250. (pdf)
Maarseveen, J., Hogendoorn, H., Verstraten, F.A.J., & Paffen, C.L.E. (2018). Attention Gates the Selective Encoding of Duration. Scientific Reports 8, 2522. (pdf)
Hogendoorn, H., & Burkitt, A.N. (2018). Predictive coding of visual object position ahead of moving objects revealed by time-resolved EEG decoding. NeuroImage 171, 55-61. (pdf)
Maarseveen, J., Paffen, C.L.E., Verstraten, F.A.J. & Hogendoorn, H. (2017). Representing dynamic stimulus information during occlusion. Vision Research 138:40-49. (pdf)
Hogendoorn, H., Alais, D., MacDougall, H., & Verstraten, F.A.J. (2017). Velocity perception in a moving observer. Vision Research 138, 12-17. (pdf)
Fahrenfort, J.J., van Leeuwen, J., Olivers, C., & Hogendoorn, H. (2017). Perceptual Integration without Conscious Access. Proceedings of the National Academy of Sciences USA 114(14), 3744-3749. (pdf)
Maarseveen, J., Hogendoorn, H., Verstraten, F.A.J., & Paffen, C.L.E. (2017). An investigation of the spatial selectivity of the duration after-effect. Vision Research 130, 67-75. (pdf)
Hogendoorn, H., Verstraten, F.A.J., MacDougall, H., & Alais, D. (2017). Vestibular signals of self-motion modulate global motion perception.Vision Research 130, 22-30. (pdf)
Hogendoorn, H. (2016). Voluntary saccadic eye movements ride the attentional rhythm. Journal of Cognitive Neuroscience 28(10), 1625-1635. (pdf)
Hogendoorn, H., Kammers, M.P.M., Haggard, P., & Verstraten, F.A.J. (2015). Self-touch modulates the somatosensory evoked P100. Experimental Brain Research 233(10), 2845-2858. pdf
Hogendoorn, H., Verstraten, F.A.J., & Cavanagh, P. (2015). Strikingly rapid neural basis of motion-induced position shifts revealed by high temporal-resolution EEG pattern classification. Vision Research 113, 1-10. pdf
Hogendoorn, H. (2015). From sensation to perception: Using multivariate classification of visual illusions to identify neural correlates of conscious awareness in space and time. Perception 44, p. 71-78. pdf
Article in the Conversation about our recent EEG-decoding paper in PNAS
We were invited to write an article for The Conversation about what Tessel's 2020 PNAS paper can tell us about how the brain uses prediction to allow us to function in the present, and how this can lead to us 'seeing' an expected present that never comes to pass. (2020). link.
Explaining prediction on Channel 10's SCOPE
Channel 10's children's program SCOPE visited the lab to discuss how the brain uses prediction to allow us to compensate for its own delays. (2018). link.
Article on prediction in Pursuit Magazine
Pursuit, the University of Melbourne's outreach magazine, wrote an article on our work on prediction on the basis of our 2018 Journal of Neuroscience paper. (2018). link.
Time in the Brain at TEDxUU
Hinze was invited to give a talk about time in the brain at TEDxUtrechtUniversity, an independently organized TED event with theme ‘Change from Within’. The aim of this talk was to make some of his fundamental research accessible for a broad audience. (2016). link
Article in TVOO on Time in the Brain (Dutch)
Hinze was invited to write an article for the Dutch management magazine Tijdschrift voor Ontwikkeling in Organisaties ("Journal for Development in Organisations") about time in the brain, and how our experience of the present moment is actually an illusion. (2015). link.
Episode on time in Dutch popular science TV show 'Labyrinth'
Hinze was invited to contribute to the episode "De dimensie tijd (the time dimension)" on the Dutch national television program VPRO Labyrinth. (2013). link.
Understanding awareness: it's about time
Hinze was invited to write an article for SCOPE, the academic magazine of University College Utrecht (the Netherlands) about why understanding the time-course of neural processes is fundamental to understanding perception, awareness, and consciousness. (2013). link.