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TIEJ659 COM7: Electromagnetic Signals from The Human Brain: Fundamentals and Analysis (JSS23), 1 - 2 ECTS [home page]

Department of Computer Science and Information Systems, Department of Mathematical Information Technology

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You cannot register for the course because the course has expired.
The registration deadline for this course passed 30.4.13 at 23:59.

General information

Home page: http://www.jyu.fi/summerschool
Begins - ends: 12.8.13 - 14.8.13
Registration period: 1.2.13 at 0:00 - 30.4.13 at 23:59
The registration may be cancelled before 25.6.2013 at 00:00.
Instructor(s): [F]yliopistotutkija Tiina Parviainen (tiina.m.parviainen@jyu.fi)
Credits: 1 - 2 ECTS cr.
Languages: language(s) of instruction: English; completion language(s): English
Registered: 38
Organisations:Department of Computer Science and Information Systems (TKO), Department of Mathematical Information Technology (MIT), Faculty of Information Technology (IT), Faculty of Mathematics and Science (SCI), Information technology (MIT) (TIE), Jyväskylä Summer School (JSS)
Current events:


  • Lecturers: Matti Hämäläinen, Lauri Parkkonen and Jan Kujala
  • The course is a part of the 23rd international Jyväskylä Summer School programme

Non-invasive electromagnetic brain imaging methods, electroencephalography (EEG) and magnetoencephalography (MEG), provide a unique window to human brain function. The key advantage over other imaging methods is that MEG/EEG signals reflect neural signaling directly and with excellent temporal resolution. However, estimating the spatial distribution of brain activation from MEG/EEG data requires advanced signal processing techniques and a solution to the neuromagnetic inverse problem. This course will cover the characteristics of cerebral electromagnetic fields, their measurement, and their analysis, with emphasis on physics and mathematical modeling. The lectures will encompass the generation of neuromagnetic and -electric signals, physics and instrumentation of MEG/EEG, signal processing and mathematical modeling of the acquired neuromagnetic data,  and the latest advances in estimating synchrony and causality between electromagnetic brain signals.


First year university physics and mathemathics. Some experience in matlab and/or python. 

Modes of study:

Obligatory attendance at lectures, exercises and exam/practical work.

Completion mode:


Course workload:
  • Lectures: 12 h (4 x 3 h) lectures and classroom exercise (independent working for exercise after that, lecturers might be present part of the time)
  • Credits: 1-2 ECTS (1 ECTS: lectures and exam, 2 ECTS: lectures and practical work)
Schedule:[Not translated.]


[Limit information on study groups]

Lecture [group details and registration]

Lecture [group details and registration]; registered 38, maximum 200
reg.time: 1.2.2013 00:00 - 30.4.2013 23:59
 LocationWeekDayDateAtSupervisorFurther informationURITapahtuman tiedot
1Ag Beeta33Mo12.8.201309:00-12:00ParviainenTapahtuman tiedot
2Ag Beeta33Tu13.8.201309:00-12:00ParviainenTapahtuman tiedot
3Ag Beeta33Wed14.8.201309:00-12:00ParviainenTapahtuman tiedot

Demonstration [group details and registration]

Demonstration [group details and registration]; registered 9, maximum 200
reg.time: 1.2.2013 00:00 - 30.4.2013 23:59
 LocationWeekDayDateAtSupervisorFurther informationURITapahtuman tiedot
1Ag B112.1 (Africa), mikroluokka33Mo12.8.201313:00-16:00ParviainenTapahtuman tiedot
2Ag B111.1 (Asia)33Mo12.8.201313:00-16:00ParviainenTapahtuman tiedot
3-33Tu13.8.201308:00-16:00ParviainenTapahtuman tiedot
4Ag B112.1 (Africa), mikroluokka33Tu13.8.201313:00-16:00ParviainenTapahtuman tiedot
5Ag B111.1 (Asia)33Tu13.8.201313:00-16:00ParviainenTapahtuman tiedot
6-33Wed14.8.201308:00-16:00ParviainenTapahtuman tiedot
7Ag B112.1 (Africa), mikroluokka33Wed14.8.201313:00-16:00ParviainenTapahtuman tiedot
8Ag B111.1 (Asia)33Wed14.8.201313:00-16:00ParviainenTapahtuman tiedot