Kies de Nederlandse taal
Course module: 193810100
Dynamic Behaviour of Neuronal Networks
Course infoSchedule
Course module193810100
Credits (ECTS)5
Course typeCourse
Language of instructionEnglish
Contact M.J.A.M. van Putten
prof.dr. S.A. van Gils
M. Kalia
Examiner M.J.A.M. van Putten
Contactperson for the course M.J.A.M. van Putten
Academic year2018
Starting block
Application procedureYou apply via OSIRIS Student
Registration using OSIRISYes
  1. The student acquires knowledge about the physiology and dynamical behavior of neurons and neural networks in both health and disease.
  2. The student understands key concepts from nonlinear dynamics, including equilibrium, limit cycles, stability and synchronization.
  3. The student is able to describe various aspects of the dynamic behavior with mathematical tools in relation to abnormal network function as present in e.g. epilepsy, ischemia and Parkinson's disease.
  4. The student is able to perform simulations to assist in a better understanding of physiology and pathology, including normal and abnormal EEG rhythms.
Complex networks of interacting neurons define the physiological properties of various brain functions, including motor control, language, perception, autonomic control, and memory. Intuitive reasoning about these networks is often sufficient for some global understanding or guiding a particular treatment or experiment. A more profound understanding, however, will provide tools to contribute to new developments and insights, relevant for improved diagnostics and innovative therapeutic approaches.
In the 2nd year course (Neural System), various issues related to membrane and network dynamics were touched upon. The emphasis, however, was rather conceptual, and various issues were treated at the introductory level. This course will present a much more in-depth treatment of physiology and dynamic behaviour of neurons and neural networks. From the clinical perspective, this will be integrated in relation with various diseases of the central or peripheral nervous system and the EEG.
We will discuss basic concepts from nonlinear dynamics, including equilibrium, limit cycles, homoclinic orbits, stability and synchronization. Modeling and simulation will be introduced to better understand individual behavior of neurons and their interactions.
Various examples from basis neuroscience to clinical neurology and neurophysiology will be treated, with an emphasis on epilepsy, ischaemia and neuromodulation (e.g. for the treatment of seizures or movement disorders). The course also discusses how modeling and simulation can contribute to a better understanding of normal and pathological EEG rhythms.
Assumed previous knowledge
A Bachelor Degree in one of the following disciplines:Technical Medicine, Applied Phsics, Biomedical Engineering, Applied Mathematics, Electrical Engineering, Advanced Technology.The TM Master course 'Biological control systems' is strongly recommended.

TG Ba students could follow the course (as extra-curricular course) when they have completed the courses: Neural Systems, Signal Analysis, the Statistics part of the two epidemiology courses in the Bachelor and have ample experience with Matlab
Participating study
Master Technical Medicine
Participating study
Master Applied Mathematics
Participating study
Master Biomedical Engineering
Participating study
Master Electrical Engineering
Required materials
Lecture Notes and hand-outs
Recommended materials
Eugene M. Izhikevich. Dynamical systems in Neuroscience: The geometry of Excitability and Bursting. The MIT Press, 2007
Instructional modes
Presence dutyYes

Presence dutyYes


Exam (70%) + Group Assignment (30%)
Both results have to be >5.5

Kies de Nederlandse taal