We are happy to announce the next Heidelberg Open Lab Workshop – Spectral Analysis of Experimental Data – that will be conducted by Axel Hutt (INRIA).
The spectral analysis of experimental time series—for example, those obtained from biological systems—requires a fundamental understanding of basic principles. This course aims to minimize the use of mathematical formalism and instead explain the core concepts through numerous examples. Naturally, questions are warmly welcome.
The course is intended for young researchers, including Master’s and PhD students, as well as Postdocs and established scientists who wish to fill potential gaps in their understanding. Topics to be discussed include:
- Sampling Theory
- Fourier Analysis
- Spectral Filters
- Time-Frequency Analysis (wavelets, Short-Time Fourier Transform)
- The concept of analytical signals (e.g. Hilbert Transform)
- Synchronisation (coherence, phase synchronisation)
- Statistical inference of spectral power
Prerequisites: The participant should already have worked with experimental data and should have a basic knowledge of applied mathematics.
Lecturer
Axel Hutt studied Physics at the University of Stuttgart and worked on his PhD at the Max Planck Institute for Cognitive Neuroscience in Leipzig. He won a Schloessmann Fellowship of the Max Planck Society and was awarded an ERC Starting Grant in 2010. His research interests are the stochastic dynamics of neural systems in theory and experimental data with a recent strong focus on neuromodulation in the clinical context.
Details
The workshop will be organized locally (we do not provide online streaming) on May 23rd 2025, 10AM – 5 PM at the Centre for Organismal Studies, Heidelberg. Please find the application form HERE. The deadline for the application is May 16th. The workshop is free of charge.
openlabhd.org 