FYS388 Computational Neuroscience

Credits (ECTS):10

Course responsible:Gaute Tomas Einevoll

Campus / Online:Taught campus Ås

Teaching language:Engelsk

Course frequency:Annually

Nominal workload:250 hours

Teaching and exam period:Fall parallel

About this course

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, (vii) learning and memory and (viii) modeling of experiments

Learning outcome

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. Combination of digital and physical teaching.
  • Students will be able to meet the lecturer outside the structured teaching time, also via video conference.
  • Introductory courses in mathematics and computer science.
  • Final oral examination. The student will be asked questions from the curriculum by the examiner and the course teacher.

  • 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.
  • Lectures and exercise assistance will be focused on several short intensive teaching periods at NMBU + video lectures to facilitate the participation of students from all over Norway.
  • Lectures: 40 hours spread over several intensive teaching periods

    Exercises: 26 hours

  • 5 sp overlap with FYS386

    10 sp overlapp med FYS488

  • Special requirements in Science