D’Elia D, Truu J, Lahti L, Berland M, Papoutsoglou G, Ceci M, Zomer A, Lopes MB, Ibrahimi E, Gruca A, Nechyporenko A, Frohme M, Klammsteiner T, Pau ECDS, Marcos-Zambrano LJ, Hron K, Pio G, Simeon A, Suharoschi R, Moreno-Indias I, Temko A, Nedyalkova M, Apostol ES, Truic CO, Shigdel R, Telalovi JH, Bongcam-Rudloff E, Przymus P, Jordamovi NB, Falquet L, Tarazona S, Sampri A, Isola G, Pérez-Serrano D, Trajkovik V, Klucar L, Loncar-Turukalo T, Havulinna AS, Jansen C, Bertelsen RJ, Claesson MJ. 2023. Advancing microbiome research with machine learning: Key findings from the ML4Microbiome COST action. Frontiers in Microbiology. 14, 1257002.
LibreCat: https://research-explorer.ista.ac.at/record/14449
DOI: 10.3389/fmicb.2023.1257002
WoS: 001080536000001
PMID: 37808321

Schlögl A, Hornoiu A, Elefante S, Stadlbauer S. 2022. Where is the sweet spot? A procurement story of general purpose compute nodes. ASHP - Austrian-Slovenian HPC Meeting 2022. ASHPC: Austrian-Slovenian HPC Meeting, 7.
LibreCat: https://research-explorer.ista.ac.at/record/12894
DOI: 10.25365/phaidra.337

Schlögl A, Elefante S, Hornoiu A, Stadlbauer S. 2021. Managing software on a heterogenous HPC cluster. ASHP – Austrian-Slovenian HPC Meeting 2021. ASHPC - Austrian-Slovenian HPC Meeting, 5.
LibreCat: https://research-explorer.ista.ac.at/record/12909
DOI: 10.3359/2021hpc

Zhang X, Schlögl A, Vandael DH, Jonas PM. 2021. MOD: A novel machine-learning optimal-filtering method for accurate and efficient detection of subthreshold synaptic events in vivo. Journal of Neuroscience Methods. 357(6), 109125.
LibreCat: https://research-explorer.ista.ac.at/record/9329
DOI: 10.1016/j.jneumeth.2021.109125
WoS: 000661088500005

Rubel P, Fayn J, Macfarlane PW, Pani D, Schlögl A, Värri A. 2021. The history and challenges of SCP-ECG: The standard communication protocol for computer-assisted electrocardiography. Hearts. 2(3), 384–409.
LibreCat: https://research-explorer.ista.ac.at/record/15285
DOI: 10.3390/hearts2030031

Guzmán J, Schlögl A, Espinoza Martinez C, Zhang X, Suter B, Jonas PM. 2021. How connectivity rules and synaptic properties shape the efficacy of pattern separation in the entorhinal cortex–dentate gyrus–C network, IST Austria,10.15479/AT:ISTA:10110 .
LibreCat: https://research-explorer.ista.ac.at/record/10110
DOI: 10.15479/AT:ISTA:10110

Schlögl A, Kiss J, Elefante S eds. 2020. Austrian High-Performance-Computing meeting (AH), Klosterneuburg, Austria: IST Austria, 72p.
LibreCat: https://research-explorer.ista.ac.at/record/7474
DOI: 10.15479/AT:ISTA:7474

Zhang X, Schlögl A, Jonas PM. 2020. Selective routing of spatial information flow from input to output in hippocampal granule cells. Neuron. 107(6), 1212–1225.
LibreCat: https://research-explorer.ista.ac.at/record/8261
DOI: 10.1016/j.neuron.2020.07.006
WoS: 000579698700009
PMID: 32763145

Schlögl A, Kiss J, Elefante S. 2019. Is Debian suitable for running an HPC Cluster? AHP - Austrian HPC Meeting 2019 . AHPC: Austrian HPC Meeting, 25.
LibreCat: https://research-explorer.ista.ac.at/record/12901

Sauermann S, David V, Schlögl A, Egelkraut R, Frohner M, Pohn B, Urbauer P, Mense A. 2017. Biosignals standards and FHIR: The way to go. eHealth: Health Informatics Meets eHealth, Studies in Health Technology and Informatics, vol. 236, 356–362.
LibreCat: https://research-explorer.ista.ac.at/record/630
DOI: 10.3233/978-1-61499-759-7-356

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