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Elefante S, Stadlbauer S, Alexander MF, Schlögl A. Cryo-EM software packages: A sys-admins point of view. In: ASHP - Austrian-Slovenian HPC Meeting 2023. EuroCC; :42-42.

Schlögl A, Elefante S, Hodirnau V-V. Running Windows-applications on a Linux HPC cluster using WINE. In: ASHP - Austrian-Slovenian HPC Meeting 2023. EuroCC; :59-59.

Yeung J, Florescu M, Zeller P, De Barbanson BA, Wellenstein MD, Van Oudenaarden A. scChIX-seq infers dynamic relationships between histone modifications in single cells. Nature Biotechnology. 2023;41:813–823. doi:10.1038/s41587-022-01560-3

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Schlögl A, Hornoiu A, Elefante S, Stadlbauer S. Where is the sweet spot? A procurement story of general purpose compute nodes. In: ASHP - Austrian-Slovenian HPC Meeting 2022. EuroCC Austria c/o Universität Wien; 2022:7. doi:10.25365/phaidra.337

Schlögl A, Elefante S, Hornoiu A, Stadlbauer S. Managing software on a heterogenous HPC cluster. In: ASHP – Austrian-Slovenian HPC Meeting 2021. University of Ljubljana; 2021:5. doi:10.3359/2021hpc

Zhang X, Schlögl A, Vandael DH, Jonas PM. MOD: A novel machine-learning optimal-filtering method for accurate and efficient detection of subthreshold synaptic events in vivo. Journal of Neuroscience Methods. 2021;357(6). doi:10.1016/j.jneumeth.2021.109125

Rubel P, Fayn J, Macfarlane PW, Pani D, Schlögl A, Värri A. The history and challenges of SCP-ECG: The standard communication protocol for computer-assisted electrocardiography. Hearts. 2021;2(3):384-409. doi:10.3390/hearts2030031

Guzmán J, Schlögl A, Espinoza Martinez C, Zhang X, Suter B, Jonas PM. How connectivity rules and synaptic properties shape the efficacy of pattern separation in the entorhinal cortex–dentate gyrus–C network. 2021. doi:10.15479/AT:ISTA:10110

Schlögl A, Kiss J, Elefante S, eds. Austrian High-Performance-Computing Meeting (AH). Klosterneuburg, Austria: IST Austria; 2020. doi:10.15479/AT:ISTA:7474

Zhang X, Schlögl A, Jonas PM. Selective routing of spatial information flow from input to output in hippocampal granule cells. Neuron. 2020;107(6):1212-1225. doi:10.1016/j.neuron.2020.07.006

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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