by Ingmar de Vries | Jun 1, 2023 | Publications
Our brain is highly effective at predicting future sensory input based on learned associations between stimuli. For instance, ample previous research has shown that if we can predict an upcoming perceptual stimulus because it always reliably follows another perceptual...
by İlayda Nazlı | Nov 23, 2022 | Publications
The brain is capable of creating predictive models of the environment by internalizing statistical regularities in sensory inputs, allowing individuals to perceive and react to the world. However, these predictions must be updated as context changes. While previous...
by Floris de Lange | Mar 3, 2020 | Publications
Letters are more easily recognised when embedded in a word. We’ve all experienced this effect, for instance when navigating in bad weather: it’s easier to read a word or name (like a road sign) than a random string (like a licence plate). But why?...
by Floortje Bouwkamp | Jan 16, 2020 | Publications
Most things in life we have seen before. Familiarity with a stimulus leads to an attenuated neural response to the stimulus. Alongside this attenuation, recent studies have also observed a truncation of stimulus-evoked activity for familiar visual input. One proposed...
by Floris de Lange | Jan 2, 2020 | Publications
Humans are remarkably good at knowing where to expect relevant stuff, given a particular context. For example, we intuitively know that we should expect a computer mouse next to the keyboard, and below the monitor. It has been claimed that we can learn these patterns...
by Floris de Lange | Nov 27, 2019 | Publications
Our everyday decisions about what we see are often based on ambiguous and unstable sensory input. For instance, we make about three eye movements per second, greatly shifting the visual information that meets our eyes. Yet, despite such instabilities in sensory input,...
