Selected topics related to mathematical modelling of (i) signal processing in nerve cells, (ii) neural coding and decoding, (iii) receptive fields in the visual system, (iv) information transmission in the nervous system, (v) biophysics of nerve cells, (vi) biological neural networks, and (vii) learning and memory.

Gain a comprehensive understanding of how the properties of neurobiological systems can be modelled mathematically and be able to navigate in the academic literature on computatiional neuroscience. Be able to formulate and solve simple models from computational neuroscience. Be able to navigate in and acquire knowledge from scientific literature in the subject field in order to be able to develop more complicated models. Understand that mathematical models are necessary in order to understand complex neurobiological processes.

Lectures.  Solve exercise problems by means  analytical and computational methods. 

Students will be able to meet the lecturer outside the structured teaching time, also via video conference.

Mainly excerpts from Sterratt et al.: "Principles of Computational Modeling in Neuroscience" 

Introductory courses in mathematics and computer science.

For students from NMBU: FYS102, FYS200, FYS381, INF120, INF200.

Write and present report.

300 hours

Special requirements in Science

Lectures and exercise assistance will be focused on several short intensive teaching periods to facilitate the participation of students from all over Norway.  

In addition to taking part in the oral examination, the examiner will be asked to contribute with an evaluation of the course's content and teaching arrangements.