De onderstaande informatie is op dit moment nog niet goedgekeurd en nog aan verandering onderhevig.
Prerequisites (Toelatingsvoorwaarden)
Quantitative Brain Networks and Computational Neuroscience
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Objectives (Doelstelling)
The brain is all about communication, between individual neurons as well as between brain areas comprised of billions of neurons. To study brain communication advanced new experimental and mathematical techniques have been developed, which require mathematical sophistication and a neurobiological background to fully comprehend. The goal is to discuss, in depth, recent technical papers in the area Brain networks and neuronal communication. At the end of the course the student should be able to understand, present and discuss papers from the technical literature and write a short report about one of the topics covered during the course.
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Contents (Inhoud / Omschrijving)
This course covers the experimental methods to assess connectivity; data analysis methods to extract connectivity from dynamics; statistical models for connectivity and dynamical models that reproduce the observed coherent brain states
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Literature (Literatuur)
Journal articles assigned during the class
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Teaching methods (Werkvormen)
- 16 hrs lecture
- 16 hrs student presentation
- 16 hrs student project
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Examination (Toetsingsvorm)
The final grade will be based on your class participation, your presentation and your term paper
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Enrollment ( Inschrijving college )
Via de Studenten Portal |
Extra information (Bijzonderheden)
Co-instructor: - Prof. dr D. Norris
- Dr D. Schubert
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