Bayesian inference
Bayesian inference

Perception is not passive; the brain constantly combines prior knowledge with new sensory evidence to form beliefs about the world. Our work examines prediction errors, prior updating, and computational models of this inferential process.

6 papers • 5 posts

Posts

Research
Domain-specific vs domain-general prediction errors
A new study by Plank and colleagues (2025) challenges previous assumptions about how individuals with autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) process prediction…
Oct 24, 2025
Research
Atypical Prior Updating in ASD
Our recent new study, titled “Predictive Processing in ASD: The Aytpical Iterative Prior Updating Account”, published in Biological Psychiatry Global Open Science, challenges long-held assumptions…
Feb 21, 2025
Research
Reference induced biases in late visual processing
Ever notice how our perception can shift when a reference is introduced? Consider the Ebbinghaus illusion—depending on the surrounding disks, a central disk can appear…
Oct 12, 2023
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Research
Perceptual biases and Individual beliefs
Everyone has their own unique opinions and perspectives on the world around them. Even something as simple as sequential randomness can be perceived differently from…
Jun 24, 2022
Research
Inter-trial effects in priming of pop-out: Comparison of computational updating models
Fredrik Allenmark ,Ahu Gokce,Thomas Geyer,Artyom Zinchenko,Hermann J. Müller,Zhuanghua Shi Abstract In visual search tasks, repeating features or the position of the target results in faster response…
Sep 7, 2021