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Lecture3
tekijä:
elkalesk
—
published
09.08.2013
Located in
In English
/
…
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FYSV421: PH4: Using Language to Teach Science: Researching Classroom Communication and Developing Dialogic Approaches (JSS23)
/
Lecture
Lecture1
tekijä:
elkalesk
—
published
09.08.2013
Located in
In English
/
…
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FYSV421: PH4: Using Language to Teach Science: Researching Classroom Communication and Developing Dialogic Approaches (JSS23)
/
Lecture
Lemke Papers: Teaching all the languages of Science
tekijä:
elkalesk
—
published
09.08.2013
Located in
In English
/
…
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FYSV421: PH4: Using Language to Teach Science: Researching Classroom Communication and Developing Dialogic Approaches (JSS23)
/
Lecture
Lecture5
tekijä:
elkalesk
—
published
01.08.2013
Located in
In English
/
…
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TIEJ660: COM8: Techno-economic Systems: Institutional Innovation (JSS23)
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Lecture
Lecture3
tekijä:
elkalesk
—
published
30.07.2013
Located in
In English
/
…
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TIEJ660: COM8: Techno-economic Systems: Institutional Innovation (JSS23)
/
Lecture
Lecture2
tekijä:
elkalesk
—
published
30.07.2013
Located in
In English
/
…
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TIEJ660: COM8: Techno-economic Systems: Institutional Innovation (JSS23)
/
Lecture
Lecture4
tekijä:
elkalesk
—
published
30.07.2013
Located in
In English
/
…
/
TIEJ660: COM8: Techno-economic Systems: Institutional Innovation (JSS23)
/
Lecture
Lecture1
tekijä:
elkalesk
—
published
30.07.2013
—
Viimeisin muutos
tiistai 30. heinäkuuta 2013, 08.18
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TIEJ660: COM8: Techno-economic Systems: Institutional Innovation (JSS23)
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Lecture
Lecture
tekijä:
elkalesk
—
published
13.08.2013
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Courses
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TIEJ659: COM7: Electromagnetic Signals from The Human Brain: Fundamentals and Analysis (JSS23)
TIEJ659: COM7: Electromagnetic Signals from The Human Brain: Fundamentals and Analysis (JSS23)
tekijä:
elkalesk
—
published
13.08.2013
—
Viimeisin muutos
tiistai 13. elokuuta 2013, 17.49
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.
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