The Toolbox is a collection of MatLab® functions. The last version, posted here, is from July 2025. This Toolbox sets a pipeline for signal processing and analysis of neurophysiological data, as well as brain network connectivity analysis. It was developed to analyse neurophysiological signals, such as electroencephalography (EEG) data. Therefore, the examples use EEG signals. The scalp EEG contains the signals (time series) of the brain’s electrical activity, recorded by electrodes (channels) placed on the human head/scalp.

However, the Toolbox is not limited to EEG signals only. The code treats EEG signals as multi-channel time series. Therefore, any time series is suitable for processing with the Toolbox.

Purpose: The primary purpose of the Toolbox is signal processing and analysis, as well as raising and checking different computational hypotheses using mathematical models and functional correlations between the signals and network analysis. The routines are helpful for individuals who want to work with signal time/amplitude correlations, build and analyse functional networks, compute specific graph theory metrics, and use mathematical models to form and test scientific hypotheses.

Scope: The Toolbox combines specific aspects of Signal pre-processing, Signal Analysis in the time-frequency domain, Reconstruction of time-dependent Functional connectivity /Correlation between Signals, Network Analysis, Surrogate Network Generation, Mathematical Models, and network Model Simulations. The Toolbox coverage has minimal overlap with the existing Toolboxes in the field.

https://zenodo.org/records/16025903