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| 001 | 155240 | ||
| 005 | 20240313095020.0 | ||
| 037 | _ | _ | |a FZJ-2014-04414 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Ito, Junji |0 P:(DE-Juel1)144576 |b 0 |e Corresponding Author |u fzj |
| 111 | 2 | _ | |a INM Retreat 2014 |c Jülich |d 2014-07-01 - 2014-07-02 |w Germany |
| 245 | _ | _ | |a Spectral Analysis of Local Field Potential Signals |f 2014-07-01 |
| 260 | _ | _ | |c 2014 |
| 336 | 7 | _ | |a Talk (non-conference) |b talk |m talk |0 PUB:(DE-HGF)31 |s 1408707917_5998 |2 PUB:(DE-HGF) |x Invited |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a Other |2 DataCite |
| 336 | 7 | _ | |a Other |2 DINI |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
| 520 | _ | _ | |a The local field potential (LFP) signal is obtained as a low frequency component, typically below approximately 100 Hz, of extracellular recordings of neuronal electric activity. It has been shown in various species and various cortical/subcortical brain regions that LFPs exhibit distinct oscillations in a wide range of frequencies. Previous studies have identified modulations of these oscillatory activities as reflecting changes in the functional states of perceptual, cognitive, and motor processes in the brain. This tutorial will first provide an overview on basic signal processing tools to detect, extract and quantify spectral components from continuous brain signals, and then proceed to introduce and demonstrate several analysis tools to study interrelations between multiple spectral components in terms of, for example, phase locking and cross-frequency coupling. As an advanced topic, tools for spike-to-LFP phase locking analysis will also be presented. |
| 536 | _ | _ | |a 331 - Signalling Pathways and Mechanisms in the Nervous System (POF2-331) |0 G:(DE-HGF)POF2-331 |c POF2-331 |f POF II |x 0 |
| 536 | _ | _ | |a AVis - Einfluss von top-down Signalen auf den autonomen Sehvorgang - Multi-skalen Analyse von massiv-parallelen Multi-Area-Daten des visuellen Pfades (BMBF-01GQ1114) |0 G:(DE-Juel1)BMBF-01GQ1114 |c BMBF-01GQ1114 |f BMBF-01GQ1114 |x 1 |
| 536 | _ | _ | |a 89571 - Connectivity and Activity (POF2-89571) |0 G:(DE-HGF)POF2-89571 |c POF2-89571 |x 2 |f POF II T |
| 773 | _ | _ | |y 2014 |
| 909 | C | O | |o oai:juser.fz-juelich.de:155240 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)144576 |
| 913 | 2 | _ | |a DE-HGF |b Key Technologies |l Decoding the Human Brain |1 G:(DE-HGF)POF3-570 |0 G:(DE-HGF)POF3-571 |2 G:(DE-HGF)POF3-500 |v Connectivity and Activity |x 0 |
| 913 | 1 | _ | |a DE-HGF |b Gesundheit |l Funktion und Dysfunktion des Nervensystems |1 G:(DE-HGF)POF2-330 |0 G:(DE-HGF)POF2-331 |2 G:(DE-HGF)POF2-300 |v Signalling Pathways and Mechanisms in the Nervous System |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF2 |
| 913 | 1 | _ | |a DE-HGF |0 G:(DE-HGF)POF2-89571 |v Connectivity and Activity |x 1 |4 G:(DE-HGF)POF |1 G:(DE-HGF)POF3-890 |3 G:(DE-HGF)POF3 |2 G:(DE-HGF)POF3-800 |b Programmungebundene Forschung |l ohne Programm |
| 914 | 1 | _ | |y 2014 |
| 920 | 1 | _ | |0 I:(DE-Juel1)INM-6-20090406 |k INM-6 |l Computational and Systems Neuroscience |x 0 |
| 920 | 1 | _ | |0 I:(DE-Juel1)IAS-6-20130828 |k IAS-6 |l Theoretical Neuroscience |x 1 |
| 980 | _ | _ | |a talk |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)INM-6-20090406 |
| 980 | _ | _ | |a I:(DE-Juel1)IAS-6-20130828 |
| 980 | _ | _ | |a UNRESTRICTED |
| 981 | _ | _ | |a I:(DE-Juel1)IAS-6-20130828 |
| 981 | _ | _ | |a I:(DE-Juel1)IAS-6-20130828 |
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