Brain tunes itself to criticality, maximizing information processing
This is a similar view to the emerging theory of Bayesian Brain, which views the brain as a system that tries to minimise the prediction error (which might be the same thing as "free-energy" in some related publications) by comparing expectations with actual information coming from the senses.<p><a href="https://towardsdatascience.com/the-bayesian-brain-hypothesis-35b98847d331" rel="nofollow">https://towardsdatascience.com/the-bayesian-brain-hypothesis...</a><p>So far it seems that it explains quite a lot of data, and many mind illnesses (e.g. many diseases can be thought as the brain under-correcting or over-correcting for the prediction error).<p>By under-correcting, the brain is not learning enough on its mistakes, which may lead to delusions of superiority (e.g. being stuck in usual habits, or inability to change one's world-view based on new information). On the other hand, when over-correcting, the world may seem unpredictable, frightening - leading to self-doubt, anxiety and negative thoughts.<p>Being wrong around 15% of the time might actually be the optimal rate for learning...  <a href="https://www.independent.co.uk/news/science/failing-study-success-machine-learning-a9186051.html" rel="nofollow">https://www.independent.co.uk/news/science/failing-study-suc...</a>