Guzman, S. J., Schlögl, A., & Schmidt-Hieber, C. (2014). Stimfit: quantifying electrophysiological data with Python. Frontiers in Neuroinformatics, 8, 1-10. https://doi.org/10.3389/fninf.2014.00016
ISO-690 (author-date, English)GUZMAN, Segundo J., SCHLÖGL, Alois und SCHMIDT-HIEBER, Christoph, 2014. Stimfit: quantifying electrophysiological data with Python. Frontiers in Neuroinformatics. 1 Februar 2014. Vol. 8, , p. 1-10. DOI 10.3389/fninf.2014.00016.
Modern Language Association 9th editionGuzman, S. J., A. Schlögl, und C. Schmidt-Hieber. „Stimfit: Quantifying Electrophysiological Data With Python.“. Frontiers in Neuroinformatics, Bd. 8, Februar 2014, S. 1-10, https://doi.org/10.3389/fninf.2014.00016.
Mohr Siebeck - Recht (Deutsch - Österreich)Guzman, Segundo J./Schlögl, Alois/Schmidt-Hieber, Christoph: Stimfit: quantifying electrophysiological data with Python., Frontiers in Neuroinformatics 2014, 1-10.
Emerald - HarvardGuzman, S.J., Schlögl, A. und Schmidt-Hieber, C. (2014), „Stimfit: quantifying electrophysiological data with Python.“, Frontiers in Neuroinformatics, Vol. 8, S. 1-10.