NWI-NM080B
Quantitative Brain Networks
Course infoSchedule
Course moduleNWI-NM080B
Credits (ECTS)6
CategoryMA (Master)
Language of instructionEnglish
Offered byRadboud University; Faculty of Science; Wiskunde, Natuur- en Sterrenkunde;
Lecturer(s)
Lecturer		prof. dr. F.P. Battaglia
Other course modules lecturer
Lecturer		prof. dr. D.G. Norris
Other course modules lecturer
Contactperson for the course		prof. dr. P.H.E. Tiesinga
Other course modules lecturer
Lecturer		prof. dr. P.H.E. Tiesinga
Other course modules lecturer
Coordinator		prof. dr. P.H.E. Tiesinga
Other course modules lecturer
Academic year2017
Period
KW3-KW4  (05/02/2018 to 02/09/2018)
Starting block
KW3
Course mode
full-time
Remarks-
Registration using OSIRISYes
Course open to students from other facultiesYes
Pre-registrationNo
Waiting listNo
Placement procedure-
Aims
The goal is to provide the neurobiological background and the mathematical/computational skills necessary to understand current technical publications in the field of Brain networks and neuronal communication.
Content

This course covers the experimental methods to assess connectivity; data analysis methods to extract connectivity from dynamics; statistical models for connectivity and dynamical models that reproduce the observed coherent brain states.

The brain is all about communication, between individual neurons as well as between brain areas comprised of billions of neurons. To study brain communication advanced new experimental and mathematical techniques have been developed, which require mathematical sophistication and a neurobiological background to fully comprehend.

Literature
Reading materials will be made available at cost during the course.

Teaching formats

• 20 hours computer course
• 40 hours lecture
• 108 hours individual study period

Topics
• Local circuit structure: experimental methods to extract connectivity, results of rodent and primate experiments, and theoretical methods for describing connectivity
• Local circuit dynamics: interpreting the local field potential, dynamical measures for the connectivity, results from primate experiments
• Large-scale brain structure: neuroimaging methods to determine anatomical and functional connectivity
• Large-scale brain dynamics: brain oscillations, mean field models.

Test information
The final grade will be based on your class/practice hours participation, handed-in homework and a final exam

Prerequisites
(Physics master): Neurophysics 1 and Neurophysics 2
(Research master CNS) Advanced mathematics or equivalent.

Required materials
To be announced
Reading materials will be made available at cost during the course.

Instructional modes
Course occurrence

Lecture

Practical computer training

Zelfstudie

Tests
Tentamen
Test weight1
OpportunitiesBlock KW4, Block KW4