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Tiedosto simple3
tekijä: elkalesk — published 18.08.2015
Located in In English / … / Course literature / sas programs
Tiedosto simple4
tekijä: elkalesk — published 18.08.2015
Located in In English / … / Course literature / sas programs
Tiedosto Simulations on the two-level system
tekijä: elkalesk — published 04.08.2014
Located in In English / … / KEMV103: NANO1: Theories of Everything: Thermodynamics, Statistical Physics, Quantum Mechanics (JSS24) / Course lectures
Tiedosto chemical/x-isostar Small wordlist
tekijä: elkalesk — published 03.08.2015
Located in In English / … / Datasets / Dictionaries
Tiedosto vCalendar interchange file Spin-isospin excitations probed by strong, weak and electro-magnetic interactions
tekijä: elkalesk — published 26.07.2014
Located in In English / … / FYSV426: PH5: How can we see nuclei? - an overview of nuclear structure and the role of isospin quantum number - (JSS24) / Course literature
Tiedosto Structural Evidence of Glycoprotein Assembly
tekijä: elkalesk — published 11.08.2014
Located in In English / … / SMBS302: NANO2: Nano Machinery & Imaging in Theranostics (JSS24) / Course literature
Tiedosto Structure-based study of viral
tekijä: elkalesk — published 11.08.2014
Located in In English / … / SMBS302: NANO2: Nano Machinery & Imaging in Theranostics (JSS24) / Course literature
Tiedosto Supporting Information
tekijä: elkalesk — published 14.08.2014
Located in In English / … / SMBS302: NANO2: Nano Machinery & Imaging in Theranostics (JSS24) / Course literature
Tiedosto Theo M. Nieuwenhuizen
tekijä: elkalesk — published 29.07.2014
Located in In English / … / Course lectures / Literature
Kurssikansio 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.
Located in In English / Courses
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