Summer School in Theoretical and Computational Neuroscience

The Summer School in Theoretical and Computational Neuroscience is an intensive week-long introduction to computational modelling in the field of neuroscience, for advanced undergraduate (estudiants de grau) and masters students.  Computational neuroscience is a growing interdisciplinary field in which mathematicians, physicists, computer scientists and psychologists seek to shed light on the workings of the nervous system through an interplay between modelling and data analysis.  We will cover such topics as: single-cell models, network and probabilistic models, models of perception, cognition, learning and memory and computational approaches to studying psychiatric disease.  An optional internship in the laboratory of one of the participating instructors is offered to especially motivated students for the week following the main course (14th-19th July).​

Albert Compte (IDIBAPS)

Gustavo Deco (UPF) 

Ruben Moreno-Bote (FSJD)

Jaime de la Rocha (IDIBAPS)

Alex Roxin (CRM)

Nava Rubin​​ (UPF)

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