Third-Cycle Courses

Faculty of Engineering | Lund University

Details for the Course Syllabus for Course EITN65F valid from Spring 2017

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  • To provide knowledge of how the nervous system works and how it's modeled at various levels, from cellular to higher brain functions. Understanding the processes of nerve impulses at the cellular level, and how these are measured and simulated. Understanding how the cells are connected in simple networks, and how these can be simulated. Understanding how the higher functions can be described, modeled and simulated. To understand how nerve signals can be measured through both invasive and non invasive methods. Understanding the basic electronics impedance, gain, and filtering, which is necessary to measure the signals. Understanding the basic signal analysis of nerve signals that spike sorting and correlation.
  • The course consists of lectures and 5 written assignments where students apply the different simulation and modeling methods. Lectures will include operation and modeling of the nervous system at different levels, and review of the simulation tools that will be used. The course also covers methods for nerve signals in vitro and in vivo, and the electronics required for this. The course ends with a small project where the PhD candidate select a problem and simulate its behavior or analyze its signals.
Knowledge and Understanding
  • For a passing grade the doctoral student must
  • Understand how neurons signals arise, connects and propagates

    Understand the modeling of neurons, both individually and in populations.

    Understand the requirements of measurement in order to register the nerve signals both invasive and with surface electrodes.
Competences and Skills
  • For a passing grade the doctoral student must
  • Be able to reason about how the nervous system works at different levels and describe how these can be measured and simulated.

    Be able to describe the function of the nervous system at different levels and be able to set up a simulation of these.

    Be able to describe how nerve signals can be measured in different ways and which the demands are.
Judgement and Approach
  • For a passing grade the doctoral student must
  • Understand the ethical issues in the analysis of signals from the CNS and in the measurement of these.

    Be able to see the limitations of the results of analysis and modeling.
Types of Instruction
  • Lectures
  • Laboratory exercises
  • Project
Examination Formats
  • Written report
  • Written assignments
  • Miscellaneous
  • Short verbal project presentation.
  • Failed, pass
Admission Requirements
Assumed Prior Knowledge
  • Basic courses in programming, physiology and signal processing.
Selection Criteria
  • PhD candidates research relevance.
  • Gerstner, W., Kistler, Werner M., Naud, R. & Paninsk, L.: Neuronal Dynamics. Cambridge University Press, 2014. ISBN 9781107635197.
  • Book is available at:
Further Information
  • Course Coordinator: Anders J Johansson,
Course code
  • EITN65F
Administrative Information
  • 2017-02-09
  • Professor Thomas Johansson

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