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

Guzmán J, Schlögl A, Frotscher M, Jonas PM. Synaptic mechanisms of pattern completion in the hippocampal C network. Science. 2016;353(6304):1117-1123. doi:10.1126/science.aaf1836

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

Körner C, Braunstein V, Stangl M, Schlögl A, Neuper C, Ischebeck A. Sequential effects in continued visual search: Using fixation-related potentials to compare distractor processing before and after target detection. Psychophysiology. 2014;51(4):385-395. doi:10.1111/psyp.12062

Guzmán J, Schlögl A, Schmidt Hieber C. Stimfit: Quantifying electrophysiological data with Python. Frontiers in Neuroinformatics. 2014;8(FEB). doi:10.3389/fninf.2014.00016

Pernia-Andrade A, Goswami S, Stickler Y, Fröbe U, Schlögl A, Jonas PM. A deconvolution based method with high sensitivity and temporal resolution for detection of spontaneous synaptic currents in vitro and in vivo. Biophysical Journal. 2012;103(7):1429-1439. doi:10.1016/j.bpj.2012.08.039

Tangermann M, Müller K, Aertsen A, et al. Review of the BCI competition IV. Frontiers in Neuroscience. 2012;6. doi:10.3389/fnins.2012.00055

Schlögl A, Vidaurre C, Sander T. BioSig: The free and open source software library for biomedical signal processing. Computational Intelligence and Neuroscience. 2011;2011. doi:10.1155/2011/935364

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