Parameterizing neural power spectra into periodic & aperiodic components.

Phase-Amplitude Coupling under Python

a package for spectral parametrization in python based on the IRASA algorithm

This repository provides analysis code to analyze longitudinal changes in aperiodic activity in infant EEG data.

Neural oscillation event detection and analysis

Analysis scripts accompanying "Within-cycle instantaneous frequency profiles report oscillatory waveform dynamics" https://doi.org/10.1101/2021.04.12.439547

Code for "Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation"

ML framework to predict interfacial waves behaviour

This repository provides analysis code to visualize beta-activity of genuine and harmonic nature in a large open EEG dataset.

Standardized Gabor atom representations with minimal time-frequency uncertainty.

PMU data monitoring tool for real-time detection of oscillations in power systems.

This is a repository for the paper: "Spontaneous variability in gamma dynamics described by a damped harmonic oscillator driven by noise" G Spyropoulos, M Saponati, JR Dowdall, ML Schölvinck, CA Bosman, B Lima, A Peter, I Onorato, J Klon-Lipok, R Roese, S Neuenschwander, W Singer, P Fries, M Vinck (2022, Nature Communications)

Integrating diagenetic equations using Python, inspired by LMA-Matlab, which was created by Niklas Hohmann

LIP and FEF rhythmic attention model (Aussel et al. 2023)

Implementation of the general relativistic Cowling approximation in neutron-star seismology.

🔄 Discover how oscillations emerge as a mathematical necessity in complex systems. A rigorous framework proving C+A=1 with 10^-16 precision. 📊 Visualize adaptability landscapes & spectral fingerprints.

Toolbox (MATLAB, Python) for the Bayesian periodicity spectrum.

🔄 Discover how oscillations emerge as a mathematical necessity in complex systems. A rigorous framework proving C+A=1 with 10^-16 precision. 📊 Visualize adaptability landscapes & spectral fingerprints.

Inferior Olive, subthreshold oscillations (Torben-Nielsen, Segev, Yarom 2012)

This a python simulation of coupled oscillators to obtain the normal frequencies and the position-time graphs of the oscillators and additionally also obtain lissajous figures.