Berlin | Theoretical Neuroscience | Running lecture |
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Models of Neural SystemsParticipants should learn basic concepts, their theoretical foundation, and the most common models used in computational neuroscience. The module also provides the relevant basic neurobiological knowledge and the relevant theoretical approaches as well as the findings resulting form these approaches so far. After completing the module, participants should understand strengths and limitations of the different models. Participating students will learn to appropriately choose the theoretical methods for modeling neural systems. They will learn how to apply these methods while taking into account the neurobiological findings, and they should be able to critically evaluate results obtained. Participants should also be able to adapt models to new problems as well as to develop new models of neural systems. |
Type of the course |
Theoretical Lecture, Experimental Lecture, Analytical Tutorial, Computer Tutorial |
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Target audience | MSC, PhD | |
Prerequisites |
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Institution(s) | ||
Lecturer(s) | Lindner | |
Time / ETCS | Winter term /weekly/8 h per week / 12 | |
Additional info |
Combinations of a subset of the courses for fewer ECTS possible |
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Weblink | Visit the course website |