Connectionists: Tutorial "Spectral Analysis of experimental neural signals" at the CNS 2023

[Axel Hutt]

Tutorial announcement 

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Spectral Analysis of experimental neural signals: 
Fundamentals and phase dynamics 
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at the Computational Neuroscience Conference 
in Leipzig, Germany (July 15 - 19, https://www.cnsorg.org/cns-2023) 

The spectral analysis of observed neural activity is essential in 
most experimental neuroscience research. To work with the 
meanwhile large number and types of spectral analysis techniques, 
it is important to understand in detail the fundamental aspects of 
sampling theory, Fourier analysis, and non-Fourier analysis. 

The tutorial will start with sampling theory and Fourier analysis 
of regular and non-regular sampled data. Subsequently, it will 
introduce to Fourier-motivated analysis methods for non-stationary 
signals, e.g., different spectral power measures and different 
time-frequency analysis techniques (windowed Fourier transform 
and continuous wavelet analysis). In this context, the notion of 
instantaneous phase will be explained and discussed in detail 
(Hilbert Transform, Phase-Amplitude coupling). 

The discussion of the topics will touch on theoretical aspects 
but will focus on more practical issues. It will be a hands-on 
tutorial with much information known from practice. 



-- 
Axel Hutt 
Directeur de Recherche 
Equipe MIMESIS 
INRIA Nancy Grand Est 
Bâtiment IHU 
1, Place de l'Hopital 
67000 Strasbourg, France 
https://mimesis.inria.fr/members/axel-hutt/ 
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