Algorithms of the Mind

About

This course explores how the mind can be understood through computational principles. We will examine modern developments in computational cognitive neuroscience, focusing on how algorithms explain perception, learning, and decision-making. Topics include computational models of decision-making, strategies for resolving the exploration–exploitation dilemma, and mathematical formulations of perceptual processing. Students will learn how these frameworks bridge psychology, neuroscience, and computational modeling, providing insights into adaptive behavior and cognition

Course leader

Dr. Richárd Reichardt Assistant Professor Institute of Psychology, Eötvös Loránd University, Budapest, Hungary

Course aim

This is an interdisciplinary course that integrates psychology, neuroscience, and computational modeling. The topic is timely, reflecting current advances in computational cognitive neuroscience and their relevance to understanding perception, decision-making and learning processes. The course emphasizes innovative teaching methods, including interactive simulations, problem-based learning, and the use of programming tools for modeling cognitive processes. By combining theory with hands-on computational exercises, this course aims to create a dynamic learning environment and highlight the multidisciplinary nature of brain research

Fee info

tuition fee, course materials, meals (coffee break), opening ceremony and the cost of the leisure time programs, weekend excursions