The course consists of two distinct yet related units. The first unit studies the brain and sensory system as a computer, both from a theoretical and computational standpoint. The second unit employs these concepts, combined with behavioural data analysis, to model some mental disorders. Contents: - Basic biophysics of neural responses. - Neural encoding and decoding. - Models of adaptation, learning, and memory. - Classical conditioning and reinforcement learning. - Neural representation and its computational learning perspective. - Introduction to computational psychiatry. - Computational models of mental disorders.

Classroom lectures. Face-to-face classes: reduced (workshops, seminars, case studies). Student individual work. Laboratory session. Final exam. Seminars and lectures supported by computer and audiovisual aids. Practical learning based on cases and problems, and exercise resolution. Individual and group or cooperative work with the option of oral or written presentation. Individual and group tutorials to resolve doubts and queries about the subject. Internships and directed laboratory activities.