Schlögl A, Kiss J. 2017. Scientific Computing at IST Austria. AHP – Austrian HPC Meeting 2017. AHPC: Austrian HPC Meeting, 28.
LibreCat: https://research-explorer.ista.ac.at/record/12905

Guzmán J, Schlögl A, Frotscher M, Jonas PM. 2016. Synaptic mechanisms of pattern completion in the hippocampal C network. Science. 353(6304), 1117–1123.
LibreCat: https://research-explorer.ista.ac.at/record/1350
DOI: 10.1126/science.aaf1836

Schlögl A, Stadlbauer S. 2016. High performance computing at IST Austria: Modelling the human hippocampus. AHP - Austrian HPC Meeting 2016. AHPC: Austrian HPC Meeting, 37.
LibreCat: https://research-explorer.ista.ac.at/record/12903

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. 51(4), 385–395.
LibreCat: https://research-explorer.ista.ac.at/record/1890
DOI: 10.1111/psyp.12062

Guzmán J, Schlögl A, Schmidt Hieber C. 2014. Stimfit: Quantifying electrophysiological data with Python. Frontiers in Neuroinformatics. 8(FEB), 16.
LibreCat: https://research-explorer.ista.ac.at/record/2230
DOI: 10.3389/fninf.2014.00016

Pernia-Andrade A, Goswami S, Stickler Y, Fröbe U, Schlögl A, Jonas PM. 2012. A deconvolution based method with high sensitivity and temporal resolution for detection of spontaneous synaptic currents in vitro and in vivo. Biophysical Journal. 103(7), 1429–1439.
LibreCat: https://research-explorer.ista.ac.at/record/2954
DOI: 10.1016/j.bpj.2012.08.039
PMID: 23062335

Tangermann M, Müller K, Aertsen A, Birbaumer N, Braun C, Brunner C, Leeb R, Mehring C, Miller K, Müller Putz G, Nolte G, Pfurtscheller G, Preissl H, Schalk G, Schlögl A, Vidaurre C, Waldert S, Blankertz B. 2012. Review of the BCI competition IV. Frontiers in Neuroscience. 6, 55.
LibreCat: https://research-explorer.ista.ac.at/record/493
DOI: 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. 2011, 935364.
LibreCat: https://research-explorer.ista.ac.at/record/490
DOI: 10.1155/2011/935364

Schlögl A, Vidaurre C, Müller K-R. 2010.Adaptive Methods in BCI Research - An Introductory Tutorial. In: Brain-Computer Interfaces. The Frontiers Collection, , 331–355.
LibreCat: https://research-explorer.ista.ac.at/record/14983
DOI: 10.1007/978-3-642-02091-9_18