<html><body><div id="zimbraEditorContainer" style="font-family: arial,helvetica,sans-serif; font-size: 12pt; color: #000000" class="43"><div>Tutorial announcement </div><div><br data-mce-bogus="1"></div><div>-----------------------------------------------------------------<br data-mce-bogus="1"></div><div>Spectral Analysis of experimental neural signals: </div><div>Fundamentals and phase dynamics<br></div><div>-----------------------------------------------------------------</div><div><br data-mce-bogus="1"></div><div>at the Computational Neuroscience Conference </div><div>in Leipzig, Germany (July 15 - 19, https://www.cnsorg.org/cns-2023)<div><br data-mce-bogus="1"></div></div><div>The spectral analysis of observed neural activity is essential in </div><div>most experimental neuroscience research. To work with the </div><div>meanwhile large number and types of spectral analysis techniques, </div><div>it is important to understand in detail the fundamental aspects of </div><div>sampling theory, Fourier analysis, and non-Fourier analysis.<br><br>The tutorial will start with sampling theory and Fourier analysis </div><div>of regular and non-regular sampled data. Subsequently, it will </div><div>introduce to Fourier-motivated analysis methods for non-stationary </div><div>signals, e.g., different spectral power measures and different </div><div>time-frequency analysis techniques (windowed Fourier transform </div><div>and continuous wavelet analysis). In this context, the notion of </div><div>instantaneous phase will be explained and discussed in detail </div><div>(Hilbert Transform, Phase-Amplitude coupling).<br><br>The discussion of the topics will touch on theoretical aspects </div><div>but will focus on more practical issues. It will be a hands-on </div><div>tutorial with much information known from practice. <br></div><div><br data-mce-bogus="1"></div><div><br data-mce-bogus="1"></div><div><br data-mce-bogus="1"></div><div data-marker="__SIG_POST__">-- <br></div><div>Axel Hutt<br>Directeur de Recherche<br>Equipe MIMESIS<br>INRIA Nancy Grand Est <br>Bātiment IHU<br>1, Place de l'Hopital<br>67000 Strasbourg, France<br>https://mimesis.inria.fr/members/axel-hutt/<br></div></div></body></html>