Bayesian models of perception and action. A modern perspective on the principles of brain function.

Many forms of perception and actions can be mathematically modeled using probabilistic (Bayesian) inference - a method used to draw conclusions based on uncertain data. According to these models, when faced with noisy and ambiguous data, the human brain behaves like a talented data processor or a detective at a crime scene. This richly illustrated book serves as an introduction to the methodology of constructing and using probabilistic models for decision-making and actions. The book presents Bayesian models of perception and action, which play a central role in cognitive science and neurobiology. Educational materials, suitable for beginners, include explanatory examples, illustrations from everyday life, and gradually develop an understanding of complex concepts. The publication is aimed at a wide range of readers interested in neurobiology, cognitive sciences, machine learning, psychology, linguistics, and mathematics.