It is theorized that a mismatch between expectation and experience initiates a prediction-error signal that in normal folks is responsible for updating their belief system on how the world works.

In delusions it is proposed that this process of error-dependent updating of beliefs is disrupted. Most likely this occurs through a process whereby the weight (or importance) given to various prediction error signals is sub-optimal (e.g. 6, 7). If prediction error signals are given undue weight then potentially unimportant variances from expectation will become flagged as being highly salient. This in turn would mean that they are given unnecessary influence in updating our belief system. An anomalous experience that would normally not be treated as particularly relevant to understanding how the world works, either because of the unusual context in which it occurred, or its infrequency, would, if this deficit existed, be treated as important enough to warrant a change in the individual’s belief system.

A simplistic approach to correcting the mismatch between experience-expectation could be to prime/flush a person's predicton-error signal circuitry by exposing them to say an experience A (and many deviations thereof A1, A2..A3) and showing them what to expect every time. i.e. (something like machine learning.. or teaching a computer to recognize an image).

Could a delusion be "corrected" by just exposing yourself to the right experience-expectation combinations and thereby updating your belief system.