NeuroWarp

DTW analyses for neuroscientific time series

NeuroWarp - DTW Analyses for Neuroscientific Time Series Data

NeuroWarp is a MATLAB and Python toolbox for Dynamic Time Warping based latency differences & temporal correlations between two time series of any kind. The exact methodology has been introduced in Hosseini et al. - Transient Attention Gates Access Consciousness: Coupling N2pc and P3 Latencies using Dynamic Time Warping (2024) in the context of event-related potentials (ERPs). This repository further provides the MATLAB scripts & data files used to generate the findings of this paper.

Please see the matlab & python folders for respective documentations, example data files, walkthrough tutorials and individual code files with the latter including a more thorough explanation on conceptual approaches and input parameters.

Reference

If you use this code please cite:

Hosseini, M., Zivony, A., Eimer, M., Wyble, B., & Bowman, H. (2024). Transient Attention Gates Access Consciousness: Coupling N2pc and P3 Latencies Using Dynamic Time Warping. The Journal of Neuroscience, 44(26), e1798232024. https://doi.org/10.1523/JNEUROSCI.1798-23.2024

Authors

Mahan Hosseini - [e-mail]

License

NeuroWarp is licensed under GPL v3