Tijl Grootswagers
Tijl Grootswagers
MARCS Institute for Brain, Behaviour & Development, Western Sydney University
Verified email at - Homepage
Cited by
Cited by
Decoding dynamic brain patterns from evoked responses: A tutorial on multivariate pattern analysis applied to time series neuroimaging data
T Grootswagers, SG Wardle, TA Carlson
Journal of cognitive neuroscience 29 (4), 677-697, 2017
A primer on running human behavioural experiments online
T Grootswagers
Behavior research methods 52, 2283-2286, 2020
Perceptual similarity of visual patterns predicts dynamic neural activation patterns measured with MEG
SG Wardle, N Kriegeskorte, T Grootswagers, SM Khaligh-Razavi, ...
Neuroimage 132, 59-70, 2016
The representational dynamics of visual objects in rapid serial visual processing streams
T Grootswagers, AK Robinson, TA Carlson
NeuroImage 188, 668-679, 2019
Finding decodable information that can be read out in behaviour
T Grootswagers, RM Cichy, TA Carlson
NeuroImage 179, 252-262, 2018
The influence of image masking on object representations during rapid serial visual presentation
AK Robinson, T Grootswagers, TA Carlson
NeuroImage 197, 224-231, 2019
An introduction to time-resolved decoding analysis for M/EEG
TA Carlson, T Grootswagers, AK Robinson
arXiv preprint arXiv:1905.04820, 2019
Untangling featural and conceptual object representations
T Grootswagers, AK Robinson, SM Shatek, TA Carlson
NeuroImage 202, 116083, 2019
Neural signatures of dynamic emotion constructs in the human brain
T Grootswagers, BL Kennedy, SB Most, TA Carlson
Neuropsychologia 145, 106535, 2020
The influence of object-color knowledge on emerging object representations in the brain
L Teichmann, GL Quek, AK Robinson, T Grootswagers, TA Carlson, ...
Journal of Neuroscience 40 (35), 6779-6789, 2020
Human EEG recordings for 1,854 concepts presented in rapid serial visual presentation streams
T Grootswagers, I Zhou, AK Robinson, MN Hebart, TA Carlson
Scientific Data 9 (1), 3, 2022
An empirically-driven guide on using Bayes Factors for M/EEG decoding
L Teichmann, D Moerel, C Baker, T Grootswagers
BioRxiv, 2021.06. 23.449663, 2021
Seeing versus knowing: The temporal dynamics of real and implied colour processing in the human brain
L Teichmann, T Grootswagers, TA Carlson, AN Rich
NeuroImage 200, 373-381, 2019
Centering inclusivity in the design of online conferences—An OHBM–Open Science perspective
E Levitis, CDG Van Praag, R Gau, S Heunis, E DuPre, G Kiar, ...
GigaScience 10 (8), giab051, 2021
Decoding digits and dice with magnetoencephalography: evidence for a shared representation of magnitude
L Teichmann, T Grootswagers, T Carlson, AN Rich
Journal of cognitive neuroscience 30 (7), 999-1010, 2018
The neural dynamics underlying prioritisation of task-relevant information
T Grootswagers, AK Robinson, SM Shatek, TA Carlson
arXiv preprint arXiv:2102.01303, 2021
A humanness dimension to visual object coding in the brain
EW Contini, E Goddard, T Grootswagers, M Williams, T Carlson
NeuroImage 221, 117139, 2020
Asymmetric compression of representational space for object animacy categorization under degraded viewing conditions
T Grootswagers, JB Ritchie, SG Wardle, A Heathcote, TA Carlson
Journal of Cognitive Neuroscience 29 (12), 1995-2010, 2017
The time-course of feature-based attention effects dissociated from temporal expectation and target-related processes
D Moerel, T Grootswagers, AK Robinson, SM Shatek, A Woolgar, ...
Scientific Reports 12 (1), 6968, 2022
Overlapping neural representations for the position of visible and imagined objects
AK Robinson, T Grootswagers, SM Shatek, J Gerboni, A Holcombe, ...
arXiv preprint arXiv:2010.09932, 2020
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