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

Synaptic mechanisms of pattern completion in the hippocampal C network
J. Guzmán, A. Schlögl, M. Frotscher, P.M. Jonas, Science 353 (2016) 1117–1123.

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

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

Stimfit: Quantifying electrophysiological data with Python
J. Guzmán, A. Schlögl, C. Schmidt Hieber, Frontiers in Neuroinformatics 8 (2014).

A deconvolution based method with high sensitivity and temporal resolution for detection of spontaneous synaptic currents in vitro and in vivo
A. Pernia-Andrade, S. Goswami, Y. Stickler, U. Fröbe, A. Schlögl, P.M. Jonas, Biophysical Journal 103 (2012) 1429–1439.

Review of the BCI competition IV
M. Tangermann, K. Müller, A. Aertsen, N. Birbaumer, C. Braun, C. Brunner, R. Leeb, C. Mehring, K. Miller, G. Müller Putz, G. Nolte, G. Pfurtscheller, H. Preissl, G. Schalk, A. Schlögl, C. Vidaurre, S. Waldert, B. Blankertz, Frontiers in Neuroscience 6 (2012).

BioSig: The free and open source software library for biomedical signal processing
A. Schlögl, C. Vidaurre, T. Sander, Computational Intelligence and Neuroscience 2011 (2011).

Adaptive Methods in BCI Research - An Introductory Tutorial
A. Schlögl, C. Vidaurre, K.-R. Müller, in:, B. Graimann, G. Pfurtscheller, B. Allison (Eds.), Brain-Computer Interfaces, 1st ed., Springer, Berlin, Heidelberg, 2010, pp. 331–355.