Sauermann, S., David, V., Schlögl, A., Egelkraut, R., Frohner, M., Pohn, B.,https://doi.org/10.3233/978-1-61499-759-7-356__Mense, A. (2017). Biosignals standards and FHIR: The way to go (Vol. 236, pp. 356–362). Presented at the eHealth: Health Informatics Meets eHealth, Vienna, Austria: IOS Press.https://doi.org/10.3233/978-1-61499-759-7-356 

Schlögl, A., &; Kiss, J. (2017). Scientific Computing at IST Austria. In AHP – Austrian HPC Meeting 2017 (p. 28). Grundlsee, Austria: FSP Scientific Computing.

Guzmán, J., Schlögl, A., Frotscher, M., &; Jonas, P. M. (2016). Synaptic mechanisms of pattern completion in the hippocampal C network. Science. American Association for the Advancement of Science.https://doi.org/10.1126/science.aaf1836 

Schlögl, A., &; Stadlbauer, S. (2016). High performance computing at IST Austria: Modelling the human hippocampus. In AHP - Austrian HPC Meeting 2016 (p. 37). Grundlsee, Austria: VSC - Vienna Scientific Cluster.

Körner, C., Braunstein, V., Stangl, M., Schlögl, A., Neuper, C., &; Ischebeck, A. (2014). Sequential effects in continued visual search: Using fixation-related potentials to compare distractor processing before and after target detection. Psychophysiology. Wiley-Blackwell.https://doi.org/10.1111/psyp.12062 

Guzmán, J., Schlögl, A., &; Schmidt Hieber, C. (2014). Stimfit: Quantifying electrophysiological data with Python. Frontiers in Neuroinformatics. Frontiers Research Foundation.https://doi.org/10.3389/fninf.2014.00016 

Pernia-Andrade, A., Goswami, S., Stickler, Y., Fröbe, U., Schlögl, A., &; Jonas, P. M. (2012). A deconvolution based method with high sensitivity and temporal resolution for detection of spontaneous synaptic currents in vitro and in vivo. Biophysical Journal. Biophysical.https://doi.org/10.1016/j.bpj.2012.08.039 

Tangermann, M., Müller, K., Aertsen, A., Birbaumer, N., Braun, C., Brunner, C.,https://doi.org/10.3389/fnins.2012.00055__Blankertz, B. (2012). Review of the BCI competition IV. Frontiers in Neuroscience. Frontiers Research Foundation.https://doi.org/10.3389/fnins.2012.00055 

Schlögl, A., Vidaurre, C., &; Sander, T. (2011). BioSig: The free and open source software library for biomedical signal processing. Computational Intelligence and Neuroscience. Hindawi Publishing Corporation.https://doi.org/10.1155/2011/935364 

Schlögl, A., Vidaurre, C., &; Müller, K.-R. (2010). Adaptive Methods in BCI Research - An Introductory Tutorial. In B. Graimann, G. Pfurtscheller, &; B. Allison (Eds.), Brain-Computer Interfaces (1st ed., pp. 331–355). Berlin, Heidelberg: Springer.https://doi.org/10.1007/978-3-642-02091-9_18