The course will provide an introductory overview of how mathematical models are used to characterize the nervous system, and how these models capture the relationship between neural activity and functions such as perception, learning, and decision-making. The intended program will cover the following topics: 1. Modelling the Brain. 2. Simple abstract models of neurons. 3. Simple spiking neuron models. 4. Modelling action potentials and chemical computation in the brain. 5. Principles of intracellular modelling and computation. 6. Modelling synaptic plasticity. 7. Biophysical models of single neurons. 8. Modelling across scales of analysis. 9. Network models.

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.