Researchers have discovered how two brain areas, neocortex and thalamus, work together to detect discrepancies between what animals expect from their environment and actual events. These prediction errors are implemented by selective boosting of unexpected sensory information. These findings enhance our understanding of predictive processing in the brain and could offer insights into how brain circuits are altered in autism spectrum disorders (ASDs) and schizophrenia spectrum disorders (SSDs).
The research, published today in Nature, outlines how scientists at the Sainsbury Wellcome Centre at UCL studied mice in a virtual reality environment to take us a step closer to understanding both the nature of prediction error signals in the brain as well as the mechanisms by which they arise. Our brains constantly predict what to expect in the world around us and the consequences of our actions. When these predictions turn out wrong, this causes strong activation of different brain areas, and such prediction error signals are important for helping us learn from our mistakes and update our predictions.
But despite their importance, surprisingly little is known about the neural circuit mechanisms responsible for their implementation in the brain." Professor Sonja Hofer, Group Leader at SWC and corresponding author on the paper To study how the brain processes expected and unexpected events, the researchers placed mice in a virtual reality environment where they could navigate along a f.