K9: Understands the structures of the nervous system, how these develop and evolve, and how neural functions control cognitive processes. S1: Uses a variety of techniques to find, manage, integrate and critically evaluate available information for the development of professional activities in Neuroscience, especially in the digital sphere S4: Uses their ability to analyse and synthesise, as well as to apply the principles of the scientific method in the work environment, in order to provide innovative responses to the needs and demands of society in their area. S5: Appropriately uses the scientific and technical vocabulary of the different subfields within Neuroscience. C1: Apply knowledge about the biological basis of Central Nervous System (CNS) disorders and their effects to the development of improved diagnostics and treatments. C2: Apply knowledge about the organisation, structure and function of the Central Nervous System (CNS) to contribute to the evolution and improvement of technologies and systems for computing, data handling and analysis. C5: Apply your neuroscience knowledge in a unifying and integrated fashion as part of a multidisciplinary team (pharmaceutical sector, health industry, diagnostic techniques, health information technologies, government agencies and regulatory bodies. C6: Apply the results of your comprehensive training to your everyday professional activities, combining Neuroscience knowledge with a solid foundation of ethical responsibility and respect for fundamental rights, diversity and democratic values. C7: Apply the scientific and technical principles you acquired during your undergraduate training, together with your own natural learning capabilities, to better adapt to novel opportunities arising from scientific and technological development.

This course explores the neural processes that support cognitive functions such as attention, learning, memory, language, and guided behaviors, with an emphasis on neural mechanisms. It introduces basic functional and imaging techniques, as well as behavioral measures of cognition, and discusses methods by which inferences about the brain bases of cognition are made. The course also provides a survey of current research in cognitive neuroscience. Representative topics include perceptual and motor processes, decision making, learning and memory, attention, reward processing, reinforcement learning, sensory inference and cognitive control.

Classroom lectures. Face-to-face classes: reduced (workshops, seminars, case studies). Student individual work. 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.