The course provides theoretical foundations for understanding cognitive processes through the practical lens of computational modelling. Cognitive functions will be interpreted as computational problems and solved by information-processing architectures, in particular, connectionist (neural network) models. Students will acquire essential R programming skills to implement, simulate, and analyse these models, and design experiments to collect empirical data within the cognitive domain of visual perception. The course will equip students with concrete computer programming tools to build, run, analyse, and interpret computational models, and to learn how to relate their behaviour to empirical data. At the end of the course, students should have developed critical skills to design, evaluate, and compare computational models that can bridge theoretical principles and empirical evidence from behavioural and cognitive neuroscience.