Doctor Tijl Grootswagers
ARC DECRA Senior Research Fellow - Computational Neuroscience,
MARCS Institute for Brain, Behaviour & Development
Senior Research Fellow in Computational Neuroscience,
Dean's Unit, Computer, Data & Math Sciences
Biography
Organisational Unit (School / Division)
- MARCS Institute for Brain, Behaviour & Development
- Dean's Unit, Computer, Data & Math Sciences
Contact
Email: | T.Grootswagers@westernsydney.edu.au |
---|---|
Phone: |
(02) 9772 6585 |
Mobile: | |
Location: | BankstownU.6.24 Westmead |
PLEASE NOTE: obtaining information from this Directory must be for the legitimate purposes of doing business with and within Western Sydney University, and must not be used for unsolicited bulk e-mailing (spamming) or similar purposes.
Publications
Chapters in Books
- Carlson, T., Grootswagers, T. and Robinson, A. (2020), 'An introduction to time-resolved decoding analysis for M/EEG', The Cognitive Neurosciences, MIT Press 9780262043250.
Journal Articles
- Grootswagers, T., Robinson, A., Shatek, S. and Carlson, T. (2024), 'Mapping the dynamics of visual feature coding : insights into perception and integration', PLoS Computational Biology, vol 20, no 1 .
- Sharabas, D., Varlet, M. and Grootswagers, T. (2023), 'An online browser-based attentional blink replication using visual objects', PLoS One, vol 18, no 8 .
- Hoang, Q., Yong, K., Liu, X., Mahony, D., Chaitarvornkit, A., Cohen, A. and Grootswagers, T. (2023), 'Detecting mild traumatic brain injury for athletes using SSVEP classification : a case study', Biomedical Signal Processing and Control, vol 86 .
- Lina Teichmann, L., Moerel, D., Moerel, D., Baker, C. and Grootswagers, T. (2022), 'An empirically driven guide on using Bayes factors for M/EEG decoding', Aperture Neuro, vol 1, no 8 .
- Moshel, M., Robinson, A., Carlson, T. and Grootswagers, T. (2022), 'Are you for real? : decoding realistic AI-generated faces from neural activity', Vision Research, vol 19 .
- Moerel, D., Moerel, D., Grootswagers, T., Robinson, A., Shatek, S., Woolgar, A., Carlson, T. and Rich, A. (2022), 'The time-course of feature-based attention effects dissociated from temporal expectation and target-related processes', Scientific Reports, vol 12, no 1 .
- Grootswagers, T., McKay, H. and Varlet, M. (2022), 'Unique contributions of perceptual and conceptual humanness to object representations in the human brain', NeuroImage, vol 257 .
- Grootswagers, T., Zhou, I., Robinson, A., Hebart, M. and Carlson, T. (2022), 'Human EEG recordings for 1,854 concepts presented in rapid serial visual presentation streams', Scientific Data, .
- Shatek, S., Robinson, A., Grootswagers, T. and Carlson, T. (2022), 'Capacity for movement is an organisational principle in object representations', NeuroImage, vol 261 .
- Grootswagers, T., Robinson, A., Shatek, S. and Carlson, T. (2021), 'The neural dynamics underlying prioritisation of task-relevant information', Neurons, Behaviour, Data Analysis, and Theory, vol 5, no 1 .
- Robinson, A., Grootswagers, T., Shatek, S., Gerboni, J., Holcombe, A. and Carlson, T. (2021), 'Overlapping neural representations for the position of visible and imagined objects', Neurons, Behaviour, Data Analysis, and Theory, vol 4, no 1 .
- Teichmann, L., Grootswagers, T., Moerel, D., Moerel, D., Carlson, T. and Rich, A. (2021), 'Temporal dissociation of neural activity underlying synesthetic and perceptual colors', Proceedings of the National Academy of Sciences, vol 118, no 6 .
- Grootswagers, T. and Robinson, A. (2021), 'Overfitting the literature to one set of stimuli and data', Frontiers in Human Neuroscience, vol 15 .
- Levitis, E., Van Praag, C., Gau, R., Heunis, S., DuPre, E., Kiar, G., Bottenhorn, K., Glatard, T., Nikolaidis, A., Whitaker, K., Mancini, M., Niso, G., Afyouni, S., Alonso-Ortiz, E., Appelhoff, S., Arnatkeviciute, A., Atay, S., Auer, T., Baracchini, G., Bayer, J., Beauvais, M., Bijsterbosch, J., Bilgin, I., Bollmann, S., Bollmann, S., Botvinik-Nezer, R., Bright, M., Calhoun, V., Chen, X., Chopra, S., Chuan-Peng, H., Close, T., Cookson, S., Craddock, R., De La Vega, A., De Leener, B., Demeter, D., Di Maio, P., Dickie, E., Eickhoff, S., Esteban, O., Finc, K., Frigo, M., Ganesan, S., Ganz, M., Garner, K., Garza-Villarreal, E., Gonzalez-Escamilla, G., Goswami, R., Griffiths, J., Grootswagers, T. and et al, .. (2021), 'Centering inclusivity in the design of online conferences : an OHBM-Open Science perspective', GigaScience, vol 10, no 8 .
- Grootswagers, T., Kennedy, B., Most, S. and Carlson, T. (2020), 'Neural signatures of dynamic emotion constructs in the human brain', Neuropsychologia, vol 145 .
- Grootswagers, T. (2020), 'A primer on running human behavioural experiments online', Behavior Research Methods, vol 52, no 6 , pp 2283 - 2286.
- Contini, E., Goddard, E., Grootswagers, T., Williams, M. and Carlson, T. (2020), 'A humanness dimension to visual object coding in the brain', NeuroImage, vol 221 .
- Petit, S., Badcock, N., Grootswagers, T. and Woolgar, A. (2020), 'Unconstrained multivariate EEG decoding can help detect lexical-semantic processing in individual children', Scientific Reports, vol 10, no 1 .
- Teichmann, L., Quek, G., Quek, G., Robinson, A., Grootswagers, T., Carlson, T. and Rich, A. (2020), 'The influence of object-color knowledge on emerging object representations in the brain', The Journal of Neuroscience, vol 40 , pp 6779 - 6789.
- Petit, S., Badcock, N., Grootswagers, T., Rich, A., Brock, J., Nickels, L., Moerel, D., Moerel, D., Dermody, N., Yau, S., Schmidt, E. and Woolgar, A. (2020), 'Toward an individualized neural assessment of receptive language in children', Journal of Speech, Language, and Hearing Research, vol 63, no 7 , pp 2361 - 2385.
- Shatek, S., Grootswagers, T., Robinson, A. and Carlson, T. (2019), 'Decoding images in the mind's eye : the temporal dynamics of visual imagery', Vision, vol 3, no 4 .
- Teichmann, L., Grootswagers, T., Carlson, T. and Rich, A. (2019), 'Seeing versus knowing : the temporal dynamics of real and implied colour processing in the human brain', NeuroImage, vol 200 , pp 373 - 381.
- Grootswagers, T., Robinson, A., Shatek, S. and Carlson, T. (2019), 'Untangling featural and conceptual object representations', NeuroImage, vol 202 .
- Robinson, A., Grootswagers, T. and Carlson, T. (2019), 'The influence of image masking on object representations during rapid serial visual presentation', NeuroImage, vol 197 , pp 224 - 231.
- Mai, A., Grootswagers, T. and Carlson, T. (2019), 'In search of consciousness : examining the temporal dynamics of conscious visual perception using MEG time-series data', Neuropsychologia, vol 129 , pp 310 - 317.
- Grootswagers, T., Robinson, A. and Carlson, T. (2019), 'The representational dynamics of visual objects in rapid serial visual processing streams', NeuroImage, vol 188 , pp 668 - 679.
- Grootswagers, T., Cichy, R. and Carlson, T. (2018), 'Finding decodable information that can be read out in behaviour', NeuroImage, vol 179 , pp 252 - 262.
- Teichmann, L., Grootswagers, T., Carlson, T. and Rich, A. (2018), 'Decoding digits and dice with magnetoencephalography : evidence for a share representation of magnitude', Journal of Cognitive Neuroscience, vol 30, no 7 , pp 999 - 1110.
- Grootswagers, T., Ritchie, J., Wardle, S., Heathcote, A. and Carlson, T. (2017), 'Asymmetric compression of representational space for object animacy categorization under degraded viewing conditions', Journal of Cognitive Neuroscience, vol 29, no 12 , pp 1995 - 2010.
- Wit, B., Badcock, N., Grootswagers, T., Hardwick, K., Teichmann, L., Wehrman, J., Williams, M. and Kaplan, D. (2017), 'Neurogaming technology meets neuroscience education : a cost-effective, scalable, and highly portable undergraduate teaching laboratory for neuroscience', Journal of Undergraduate Neuroscience Education, vol 15, no 2 , pp 104 - 109.
- Grootswagers, T., Wardle, S. and Carlson, T. (2017), 'Decoding dynamic brain patterns from evoked responses : a tutorial on multivariate pattern analysis applied to time series neuroimaging data', Journal of Cognitive Neuroscience, vol 29, no 4 , pp 677 - 697.
- Wardle, S., Kriegeskorte, N., Grootswagers, T., Khaligh-Razavi, S. and Carlson, T. (2016), 'Perceptual similarity of visual patterns predicts dynamic neural activation patterns measured with MEG', NeuroImage, vol 132 , pp 59 - 70.
Conference Papers
- Grootswagers, T., Dijkstra, K., Bosch, L., Brandmeyer, A. and Sadakata, M. (2013), 'Word identification using phonetic features : towards a method to support multivariate fMRI speech decoding', International Speech Communication Association. Conference, Lyon, France.
- Gerke, P., Langevoort, J., Lagarde, S., Bax, L., Grootswagers, T., Drenth, R., Slieker, V., Vuurpijl, L., Haselager, P., Sprinkhuizen-Kuyper, I., Otterlo, M. and Croon, G. (2011), 'BioMAV : bio-inspired intelligence for autonomous flight', International Micro Air Vehicle Conference and Flight Competition, Netherlands.
Dr Grootswagers is a computational cognitive neuroscientist who studies how the human brain recognises objects.
Object recognition refers to the brain’s ability to rapidly detect and classify objects (such as a fork, apple or truck) amongst many thousands of possible objects, and despite enormous variation in objects’ visual appearance, lighting, orientation and occlusion.
The brain constantly and effortlessly performs object recognition. For example, driving to work involves a continuous need to recognise many objects, such as your own car, other cars, pedestrians, animals and traffic signs.
This ability underlies many higher cognitive functions such as memory, decision making and social interaction, and therefore is critical for most everyday tasks.
Yet we still do not fully understand how these processes work in the human brain, nor how the brain organises object information.
Dr Grootswagers’ research aims to understand how the human brain recognises visual objects, and also what happens when it fails, to inform a wide range of applications from brain and visual disorders to artificial intelligence and informatics.
This information has been contributed by Doctor Grootswagers.
Current Projects
Title: | The dynamics of object representations in the human brain |
---|---|
Funder: |
|
Western Researchers: | Tijl Grootswagers |
Years: | 2023-06-01 - 2026-05-30 |
ID: | P00028387 |
Title: | Uncovering the dynamic representation of object concepts in the human brain (via USYD) |
Funder: |
|
Western Researchers: | Tijl Grootswagers |
Years: | 2023-01-01 - 2026-01-01 |
ID: | P00028209 |
Supervision
Current Supervision
Thesis Title: | Effects of Cognitive Load and Stress in Virtual and Augmented Reality |
---|---|
Field of Research: |
Previous Supervision
Thesis Title: | Investigating Brain Dynamics Underlying Emotions in Social Decision Making |
---|---|
Field of Research: | |
Thesis Title: | The Neural Basis of Object Categorisation in the Infant Brain |
Field of Research: | |
Thesis Title: | The Neural Dynamics Supporting Object Recognition in the Human Brain |
Field of Research: | |
Thesis Title: | Effects of Cognitive Load and Stress in Virtual and Augmented Reality |
Field of Research: |