Gregor Mönke

SyNCoPy is a Python package for analyzing large-scale electrophysiological data, offering time, frequency, and connectivity analyses with parallel processing and interoperability.

This paper introduces a method for more accurate phase estimation at the edge of epochs in neuronal rhythms, showing improved performance on simulated and empirical datasets.

The paper identifies non-reciprocal synchronization rules in embryonic oscillator ensembles using a novel experimental assay and develops a new coupling model called Rectified Kuramoto.

The paper shows how muscular hydraulic behavior in Nematostella vectensis drives larva-polyp morphogenesis through antagonistic muscle pressures.

The paper uses a coarse-grained theoretical-experimental approach to study the dynamics of the mouse embryonic segmentation clock, revealing its non-linear oscillator characteristics and long-term feedbacks.

The paper shows that mechanical competition influences cell behavior during Drosophila gastrulation, with stretching cells exhibiting non-linear mechanical properties despite sharing the same genetic program as constricting neighbors.

A stand-alone Python application with a graphical interface that detrends, removes amplitude envelopes and runs continuous wavelet analysis on noisy, non-stationary biological rhythms.

This study investigates how lumenal pressure and tissue mechanics regulate embryonic size and cell fate during mouse blastocyst development.