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Course content

Neuroinformatics and network models of brain functions are major topics. The course has a strong focus on models of memory in realistic cortical networks, using both experimental and theoretical (computational) approaches.

Learning outcome

Provide an understanding of neural network mechanisms of cognition.

Learning methods and activities

Lectures and demonstrations. The course is taught in the second half of the spring semester. The language of teaching and examination is English. This course has restricted admission. Students admitted to the MSc in Neuroscience are guaranteed a seat. Other students must apply for a seat by the given deadlines.

Compulsory assignment: An essay on a course related topic has to be handed in through it's learning. Further informastion on possible topics and requirements will be given at the onset of the course. The essay will be evaluated as pass/fail, and a score "pass" is required to be allowed to participate in the written examination.


Grading: The grade is based on the following two components: 1) Assignments and presentations according to information given at the onset of the course (50%); and 2) Written examination (50%).


Regular final examination is given in the spring semester only. Students with legitimate leave of absence at the final examination and students who receive the grade F may take a re-sit examination in the autumn semester. In case of only a few candidates, the re-sit examination may be conducted as an oral examination. Timetable will be made available here: https://timeplan.medisin.ntnu.no/timetable_show.php.

Compulsory assignments

• Essay

Recommended previous knowledge

NEVR2010 (Introduction to Neuroscience) or equivalent background.

Required previous knowledge

Course materials

To be announced.

Credit reductions

Course code	Reduction	From	To
NEVR3030	7.5
NEVR8010	4.0	2007.01.09	2011.31.08