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Article
Open AccessHigh visual salience of alert signals can lead to a counterintuitive increase of reaction times
It is often assumed that rendering an alert signal more salient yields faster responses to this alert. Yet, there might be a trade-off between attracting attention and distracting from task execution. Here we ...
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Article
Open AccessSlip** while counting: gaze–gait interactions during perturbed walking under dual-task conditions
Walking is a complex task. To prevent falls and injuries, gait needs to constantly adjust to the environment. This requires information from various sensory systems; in turn, moving through the environment con...
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Article
Open AccessSalience-based object prioritization during active viewing of naturalistic scenes in young and older adults
Whether fixation selection in real-world scenes is guided by image salience or by objects has been a matter of scientific debate. To contrast the two views, we compared effects of location-based and object-bas...
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Article
Open AccessBiological motion distorts size perception
Visual illusions explore the limits of sensory processing and provide an ideal testbed to study perception. Size illusions – stimuli whose size is consistently misperceived – do not only result from sensory cu...
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Chapter
The Pupil as Marker of Cognitive Processes
Of all peripheral measures of (neuro-)physiological activity, pupil size is probably the easiest to access. Far beyond its well-known reaction to light incident on the eye, pupil size is a rich marker of many ...
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Article
Open AccessEye movements of patients with schizophrenia in a natural environment
Alterations of eye movements in schizophrenia patients have been widely described for laboratory settings. For example, gain during smooth tracking is reduced, and fixation patterns differ between patients and...
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Article
Mind the step: complementary effects of an implicit task on eye and head movements in real-life gaze allocation
Gaze in real-world scenarios is controlled by a huge variety of parameters, such as stimulus features, instructions or context, all of which have been studied systematically in laboratory studies. It is, howev...
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Article
Saliency on a natural scene background: Effects of color and luminance contrast add linearly
In natural vision, shifts in spatial attention are associated with shifts of gaze. Computational models of such overt attention typically use the concept of a saliency map: Normalized maps of center-surround diff...
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Chapter and Conference Paper
Decoding What People See from Where They Look: Predicting Visual Stimuli from Scanpaths
Saliency algorithms are applied to correlate with the overt attentional shifts, corresponding to eye movements, made by observers viewing an image. In this study, we investigated if saliency maps could be used...
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Chapter and Conference Paper
Automatic Detection of Learnability under Unreliable and Sparse User Feedback
Personalization for real-world machine-learning applications usually has to incorporate user feedback. Unfortunately, user feedback often suffers from sparsity and possible inconsistencies. Here we present an ...
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Article
The role of first- and second-order stimulus features for human overt attention
When processing complex visual input, human observers sequentially allocate their attention to different subsets of the stimulus. What are the mechanisms and strategies that guide this selection process? We in...
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Article
Learning viewpoint invariant object representations using a temporal coherence principle
Invariant object recognition is arguably one of the major challenges for contemporary machine vision systems. In contrast, the mammalian visual system performs this task virtually effortlessly. How can we expl...
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Article
The world from a cat’s perspective – statistics of natural videos
The mammalian visual system is one of the most intensively investigated sensory systems. However, our knowledge of the typical input it is operating on is surprisingly limited. To address this issue, we seek t...
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Chapter and Conference Paper
Learning Multiple Feature Representations from Natural Image Sequences
Hierarchical neural networks require the parallel extraction of multiple features. This raises the question how a subpopulation of cells can become specific to one feature and invariant to another, while a dif...
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Chapter and Conference Paper
Extracting Slow Subspaces from Natural Videos Leads to Complex Cells
Natural videos obtained from a camera mounted on a catś head are used as stimuli for a network of subspace energy detectors. The network is trained by gradient ascent on an objective function defined by the sq...
