User profiles for Tijl Grootswagers
Tijl GrootswagersMARCS Institute for Brain, Behaviour & Development, Western Sydney University Verified email at westernsydney.edu.au Cited by 1409 |
Decoding dynamic brain patterns from evoked responses: A tutorial on multivariate pattern analysis applied to time series neuroimaging data
T Grootswagers, SG Wardle… - Journal of cognitive …, 2017 - direct.mit.edu
Multivariate pattern analysis (MVPA) or brain decoding methods have become standard
practice in analyzing fMRI data. Although decoding methods have been extensively applied in …
practice in analyzing fMRI data. Although decoding methods have been extensively applied in …
The representational dynamics of visual objects in rapid serial visual processing streams
T Grootswagers, AK Robinson, TA Carlson - NeuroImage, 2019 - Elsevier
In our daily lives, we are bombarded with a stream of rapidly changing visual input. Humans
have the remarkable capacity to detect and identify objects in fast-changing scenes. Yet, …
have the remarkable capacity to detect and identify objects in fast-changing scenes. Yet, …
[HTML][HTML] Human EEG recordings for 1,854 concepts presented in rapid serial visual presentation streams
The neural basis of object recognition and semantic knowledge has been extensively studied
but the high dimensionality of object space makes it challenging to develop overarching …
but the high dimensionality of object space makes it challenging to develop overarching …
[HTML][HTML] A primer on running human behavioural experiments online
T Grootswagers - Behavior research methods, 2020 - Springer
Moving from the lab to an online environment opens up enormous potential to collect behavioural
data from thousands of participants with the click of a button. However, getting the first …
data from thousands of participants with the click of a button. However, getting the first …
[PDF][PDF] Centering inclusivity in the design of online conferences—An OHBM–Open Science perspective
As the global health crisis unfolded, many academic conferences moved online in 2020. This
move has been hailed as a positive step towards inclusivity in its attenuation of economic, …
move has been hailed as a positive step towards inclusivity in its attenuation of economic, …
Untangling featural and conceptual object representations
How are visual inputs transformed into conceptual representations by the human visual
system? The contents of human perception, such as objects presented on a visual display, can …
system? The contents of human perception, such as objects presented on a visual display, can …
An introduction to time-resolved decoding analysis for M/EEG
TA Carlson, T Grootswagers, AK Robinson - arXiv preprint arXiv …, 2019 - arxiv.org
The human brain is constantly processing and integrating information in order to make decisions
and interact with the world, for tasks from recognizing a familiar face to playing a game …
and interact with the world, for tasks from recognizing a familiar face to playing a game …
Perceptual similarity of visual patterns predicts dynamic neural activation patterns measured with MEG
Perceptual similarity is a cognitive judgment that represents the end-stage of a complex
cascade of hierarchical processing throughout visual cortex. Previous studies have shown a …
cascade of hierarchical processing throughout visual cortex. Previous studies have shown a …
Finding decodable information that can be read out in behaviour
T Grootswagers, RM Cichy, TA Carlson - NeuroImage, 2018 - Elsevier
Multivariate decoding methods applied to neuroimaging data have become the standard in
cognitive neuroscience for unravelling statistical dependencies between brain activation …
cognitive neuroscience for unravelling statistical dependencies between brain activation …
The influence of object-color knowledge on emerging object representations in the brain
The ability to rapidly and accurately recognize complex objects is a crucial function of the
human visual system. To recognize an object, we need to bind incoming visual features, such …
human visual system. To recognize an object, we need to bind incoming visual features, such …