H
Heleen A. Slagter
Researcher at VU University Amsterdam
Publications - 121
Citations - 8827
Heleen A. Slagter is an academic researcher from VU University Amsterdam. The author has contributed to research in topics: Attentional blink & Working memory. The author has an hindex of 36, co-authored 110 publications receiving 7585 citations. Previous affiliations of Heleen A. Slagter include International Business Broker's Association & University of Wisconsin-Madison.
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The perceptual nature of illusory object recognition
TL;DR: This article showed that decision confidence arbitrates between perceptual decision errors, which reflect true illusions of perception, and cognitive decision errors which do not, when participants were confident in their erroneous decision, so when the illusion was strongest, this neural representation flipped later in time and reflected the incorrectly reported percept.
Proceedings ArticleDOI
Spatial Attention introduces Behavioral Trade-off in a Large-Scale Spiking Neural Network
TL;DR: This work implements a variant of the normalization model of attention into a spiking convolutional neural network, which approximates attentional gain with a change in firing rates, and finds that close to the average objectsize attentional kernels yield the best performance.
Posted ContentDOI
Conscious perception and the role of the basal ganglia: preliminary findings from a deep brain stimulation study
Evert Boonstra,Melisse N. Bais,Martine R. van Schouwenburg,Pepijn van den Munckhof,Dirk J.A. Smit,Damiaan Denys,Heleen A. Slagter +6 more
TL;DR: In this article , the authors explored whether deep brain stimulation in the basal ganglia might improve conscious perception in OCC patients. But, they could not establish neural effects corresponding to these behavioral findings, possibly due to their small sample size.
Posted ContentDOI
Learning to predict based on self- versus externally induced prediction violations: a direct comparison using a Bayesian inference modelling approach
Evert Boonstra,Heleen A. Slagter +1 more
TL;DR: The authors found that self-generated predictions incurring a larger reaction time cost when violated compared to predictions induced by sensory cue, which translated to participants' increased sensitivity to changes in environmental volatility.
Journal ArticleDOI
Mechanisms of human dynamic visual perception revealed by sequential deep neural networks
TL;DR: In this paper , the authors developed a class of deep learning models capable of sequential object recognition and compared different computational mechanisms: feedforward and recurrent processing, single and sequential image processing, as well as different forms of rapid sensory adaptation.