Alois Schlögl

Scientific Computing
Jonas Group

24 Publications

Mark all

[24]
2024 | Journal Article | IST-REx-ID: 14979 | OA
Datler, J., Hansen, J., Thader, A., Schlögl, A., Bauer, L. W., Hodirnau, V.-V., & Schur, F. K. (2024). Multi-modal cryo-EM reveals trimers of protein A10 to form the palisade layer in poxvirus cores. Nature Structural & Molecular Biology. Springer Nature. https://doi.org/10.1038/s41594-023-01201-6
[Published Version] View | Files available | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[23]
2023 | Conference Abstract | IST-REx-ID: 13162 | OA
Elefante, S., Stadlbauer, S., Alexander, M. F., & Schlögl, A. (n.d.). Cryo-EM software packages: A sys-admins point of view. In ASHPC23 - Austrian-Slovenian HPC Meeting 2023 (pp. 42–42). Maribor, Slovenia: EuroCC.
[Submitted Version] View | Files available
 
[22]
2023 | Conference Abstract | IST-REx-ID: 13161 | OA
Schlögl, A., Elefante, S., & Hodirnau, V.-V. (n.d.). Running Windows-applications on a Linux HPC cluster using WINE. In ASHPC23 - Austrian-Slovenian HPC Meeting 2023 (pp. 59–59). Maribor, Slovenia: EuroCC.
[Submitted Version] View | Files available
 
[21]
2022 | Conference Abstract | IST-REx-ID: 12894 | OA
Schlögl, A., Hornoiu, A., Elefante, S., & Stadlbauer, S. (2022). Where is the sweet spot? A procurement story of general purpose compute nodes. In ASHPC22 - Austrian-Slovenian HPC Meeting 2022 (p. 7). Grundlsee, Austria: EuroCC Austria c/o Universität Wien. https://doi.org/10.25365/phaidra.337
[Published Version] View | Files available | DOI
 
[20]
2021 | Conference Abstract | IST-REx-ID: 12909 | OA
Schlögl, A., Elefante, S., Hornoiu, A., & Stadlbauer, S. (2021). Managing software on a heterogenous HPC cluster. In ASHPC21 – Austrian-Slovenian HPC Meeting 2021 (p. 5). Virtual: University of Ljubljana. https://doi.org/10.3359/2021hpc
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 
[19]
2021 | Journal Article | IST-REx-ID: 9329 | OA
Zhang, X., Schlögl, A., Vandael, D. H., & Jonas, P. M. (2021). MOD: A novel machine-learning optimal-filtering method for accurate and efficient detection of subthreshold synaptic events in vivo. Journal of Neuroscience Methods. Elsevier. https://doi.org/10.1016/j.jneumeth.2021.109125
[Published Version] View | Files available | DOI | WoS
 
[18]
2021 | Journal Article | IST-REx-ID: 15285 | OA
Rubel, P., Fayn, J., Macfarlane, P. W., Pani, D., Schlögl, A., & Värri, A. (2021). The history and challenges of SCP-ECG: The standard communication protocol for computer-assisted electrocardiography. Hearts. MDPI. https://doi.org/10.3390/hearts2030031
[Published Version] View | Files available | DOI
 
[17]
2021 | Journal Article | IST-REx-ID: 10816 | OA
Guzmán, J., Schlögl, A., Espinoza Martinez, C., Zhang, X., Suter, B., & Jonas, P. M. (2021). How connectivity rules and synaptic properties shape the efficacy of pattern separation in the entorhinal cortex–dentate gyrus–CA3 network. Nature Computational Science. Springer Nature. https://doi.org/10.1038/s43588-021-00157-1
[Submitted Version] View | Files available | DOI | Download Submitted Version (ext.)
 
[16]
2021 | Scientific Software | IST-REx-ID: 10110 | OA
Guzmán, J., Schlögl, A., Espinoza Martinez, C., Zhang, X., Suter, B., & Jonas, P. M. (2021). How connectivity rules and synaptic properties shape the efficacy of pattern separation in the entorhinal cortex–dentate gyrus–CA3 network. IST Austria. https://doi.org/10.15479/AT:ISTA:10110
View | Files available | DOI
 
[15]
2020 | Book (Editor) | IST-REx-ID: 7474 | OA
Schlögl, A., Kiss, J., & Elefante, S. (Eds.). (2020). Austrian High-Performance-Computing meeting (AHPC2020). Presented at the AHPC: Austrian High-Performance-Computing Meeting, Klosterneuburg, Austria: IST Austria. https://doi.org/10.15479/AT:ISTA:7474
[Published Version] View | Files available | DOI
 
[14]
2020 | Journal Article | IST-REx-ID: 8261 | OA
Zhang, X., Schlögl, A., & Jonas, P. M. (2020). Selective routing of spatial information flow from input to output in hippocampal granule cells. Neuron. Elsevier. https://doi.org/10.1016/j.neuron.2020.07.006
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
[13]
2019 | Conference Abstract | IST-REx-ID: 12901 | OA
Schlögl, A., Kiss, J., & Elefante, S. (2019). Is Debian suitable for running an HPC Cluster? In AHPC19 - Austrian HPC Meeting 2019 (p. 25). Grundlsee, Austria: Institut für Mathematik und wissenschaftliches Rechnen der Universität Graz.
[Published Version] View | Files available | Download Published Version (ext.)
 
[12]
2017 | Conference Paper | IST-REx-ID: 630 | OA
Sauermann, S., David, V., Schlögl, A., Egelkraut, R., Frohner, M., Pohn, B., … Mense, A. (2017). Biosignals standards and FHIR: The way to go (Vol. 236, pp. 356–362). Presented at the eHealth: Health Informatics Meets eHealth, Vienna, Austria: IOS Press. https://doi.org/10.3233/978-1-61499-759-7-356
[Published Version] View | Files available | DOI
 
[11]
2017 | Conference Abstract | IST-REx-ID: 12905 | OA
Schlögl, A., & Kiss, J. (2017). Scientific Computing at IST Austria. In AHPC17 – Austrian HPC Meeting 2017 (p. 28). Grundlsee, Austria: FSP Scientific Computing.
[Published Version] View | Files available | Download Published Version (ext.)
 
[10]
2016 | Conference Paper | IST-REx-ID: 10810 | OA
Rubel, P., Pani, D., Schlögl, A., Fayn, J., Badilini, F., Macfarlane, P., & Varri, A. (2016). SCP-ECG V3.0: An enhanced standard communication protocol for computer-assisted electrocardiography. In 2016 Computing in Cardiology Conference (Vol. 43, pp. 309–312). Vancouver, Canada: Computing in Cardiology. https://doi.org/10.22489/cinc.2016.090-500
[Published Version] View | DOI | Download Published Version (ext.)
 
[9]
2016 | Journal Article | IST-REx-ID: 1350 | OA
Guzmán, J., Schlögl, A., Frotscher, M., & Jonas, P. M. (2016). Synaptic mechanisms of pattern completion in the hippocampal CA3 network. Science. American Association for the Advancement of Science. https://doi.org/10.1126/science.aaf1836
[Preprint] View | Files available | DOI
 
[8]
2016 | Conference Abstract | IST-REx-ID: 12903 | OA
Schlögl, A., & Stadlbauer, S. (2016). High performance computing at IST Austria: Modelling the human hippocampus. In AHPC16 - Austrian HPC Meeting 2016 (p. 37). Grundlsee, Austria: VSC - Vienna Scientific Cluster.
[Published Version] View | Files available | Download Published Version (ext.)
 
[7]
2014 | Journal Article | IST-REx-ID: 1890 | OA
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. Wiley-Blackwell. https://doi.org/10.1111/psyp.12062
[Published Version] View | Files available | DOI
 
[6]
2014 | Journal Article | IST-REx-ID: 2230 | OA
Guzmán, J., Schlögl, A., & Schmidt Hieber, C. (2014). Stimfit: Quantifying electrophysiological data with Python. Frontiers in Neuroinformatics. Frontiers Research Foundation. https://doi.org/10.3389/fninf.2014.00016
[Published Version] View | Files available | DOI
 
[5]
2013 | Journal Article | IST-REx-ID: 10396 | OA
Schlögl, A., Jonas, P. M., Schmidt-Hieber, C., & Guzman, S. J. (2013). Stimfit: A fast visualization and analysis environment for cellular neurophysiology. Biomedical Engineering / Biomedizinische Technik. Graz, Austria: De Gruyter. https://doi.org/10.1515/bmt-2013-4181
[Submitted Version] View | Files available | DOI | PubMed | Europe PMC
 
[4]
2012 | Journal Article | IST-REx-ID: 2954 | OA
Pernia-Andrade, A., Goswami, S., Stickler, Y., Fröbe, U., Schlögl, A., & Jonas, P. M. (2012). A deconvolution based method with high sensitivity and temporal resolution for detection of spontaneous synaptic currents in vitro and in vivo. Biophysical Journal. Biophysical. https://doi.org/10.1016/j.bpj.2012.08.039
[Submitted Version] View | DOI | Download Submitted Version (ext.) | PubMed | Europe PMC
 
[3]
2012 | Journal Article | IST-REx-ID: 493 | OA
Tangermann, M., Müller, K., Aertsen, A., Birbaumer, N., Braun, C., Brunner, C., … Blankertz, B. (2012). Review of the BCI competition IV. Frontiers in Neuroscience. Frontiers Research Foundation. https://doi.org/10.3389/fnins.2012.00055
[Published Version] View | Files available | DOI
 
[2]
2011 | Journal Article | IST-REx-ID: 490 | OA
Schlögl, A., Vidaurre, C., & Sander, T. (2011). BioSig: The free and open source software library for biomedical signal processing. Computational Intelligence and Neuroscience. Hindawi Publishing Corporation. https://doi.org/10.1155/2011/935364
[Published Version] View | Files available | DOI
 
[1]
2010 | Book Chapter | IST-REx-ID: 14983
Schlögl, A., Vidaurre, C., & Müller, K.-R. (2010). Adaptive Methods in BCI Research - An Introductory Tutorial. In B. Graimann, G. Pfurtscheller, & B. Allison (Eds.), Brain-Computer Interfaces (1st ed., pp. 331–355). Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-642-02091-9_18
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24 Publications

Mark all

[24]
2024 | Journal Article | IST-REx-ID: 14979 | OA
Datler, J., Hansen, J., Thader, A., Schlögl, A., Bauer, L. W., Hodirnau, V.-V., & Schur, F. K. (2024). Multi-modal cryo-EM reveals trimers of protein A10 to form the palisade layer in poxvirus cores. Nature Structural & Molecular Biology. Springer Nature. https://doi.org/10.1038/s41594-023-01201-6
[Published Version] View | Files available | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[23]
2023 | Conference Abstract | IST-REx-ID: 13162 | OA
Elefante, S., Stadlbauer, S., Alexander, M. F., & Schlögl, A. (n.d.). Cryo-EM software packages: A sys-admins point of view. In ASHPC23 - Austrian-Slovenian HPC Meeting 2023 (pp. 42–42). Maribor, Slovenia: EuroCC.
[Submitted Version] View | Files available
 
[22]
2023 | Conference Abstract | IST-REx-ID: 13161 | OA
Schlögl, A., Elefante, S., & Hodirnau, V.-V. (n.d.). Running Windows-applications on a Linux HPC cluster using WINE. In ASHPC23 - Austrian-Slovenian HPC Meeting 2023 (pp. 59–59). Maribor, Slovenia: EuroCC.
[Submitted Version] View | Files available
 
[21]
2022 | Conference Abstract | IST-REx-ID: 12894 | OA
Schlögl, A., Hornoiu, A., Elefante, S., & Stadlbauer, S. (2022). Where is the sweet spot? A procurement story of general purpose compute nodes. In ASHPC22 - Austrian-Slovenian HPC Meeting 2022 (p. 7). Grundlsee, Austria: EuroCC Austria c/o Universität Wien. https://doi.org/10.25365/phaidra.337
[Published Version] View | Files available | DOI
 
[20]
2021 | Conference Abstract | IST-REx-ID: 12909 | OA
Schlögl, A., Elefante, S., Hornoiu, A., & Stadlbauer, S. (2021). Managing software on a heterogenous HPC cluster. In ASHPC21 – Austrian-Slovenian HPC Meeting 2021 (p. 5). Virtual: University of Ljubljana. https://doi.org/10.3359/2021hpc
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 
[19]
2021 | Journal Article | IST-REx-ID: 9329 | OA
Zhang, X., Schlögl, A., Vandael, D. H., & Jonas, P. M. (2021). MOD: A novel machine-learning optimal-filtering method for accurate and efficient detection of subthreshold synaptic events in vivo. Journal of Neuroscience Methods. Elsevier. https://doi.org/10.1016/j.jneumeth.2021.109125
[Published Version] View | Files available | DOI | WoS
 
[18]
2021 | Journal Article | IST-REx-ID: 15285 | OA
Rubel, P., Fayn, J., Macfarlane, P. W., Pani, D., Schlögl, A., & Värri, A. (2021). The history and challenges of SCP-ECG: The standard communication protocol for computer-assisted electrocardiography. Hearts. MDPI. https://doi.org/10.3390/hearts2030031
[Published Version] View | Files available | DOI
 
[17]
2021 | Journal Article | IST-REx-ID: 10816 | OA
Guzmán, J., Schlögl, A., Espinoza Martinez, C., Zhang, X., Suter, B., & Jonas, P. M. (2021). How connectivity rules and synaptic properties shape the efficacy of pattern separation in the entorhinal cortex–dentate gyrus–CA3 network. Nature Computational Science. Springer Nature. https://doi.org/10.1038/s43588-021-00157-1
[Submitted Version] View | Files available | DOI | Download Submitted Version (ext.)
 
[16]
2021 | Scientific Software | IST-REx-ID: 10110 | OA
Guzmán, J., Schlögl, A., Espinoza Martinez, C., Zhang, X., Suter, B., & Jonas, P. M. (2021). How connectivity rules and synaptic properties shape the efficacy of pattern separation in the entorhinal cortex–dentate gyrus–CA3 network. IST Austria. https://doi.org/10.15479/AT:ISTA:10110
View | Files available | DOI
 
[15]
2020 | Book (Editor) | IST-REx-ID: 7474 | OA
Schlögl, A., Kiss, J., & Elefante, S. (Eds.). (2020). Austrian High-Performance-Computing meeting (AHPC2020). Presented at the AHPC: Austrian High-Performance-Computing Meeting, Klosterneuburg, Austria: IST Austria. https://doi.org/10.15479/AT:ISTA:7474
[Published Version] View | Files available | DOI
 
[14]
2020 | Journal Article | IST-REx-ID: 8261 | OA
Zhang, X., Schlögl, A., & Jonas, P. M. (2020). Selective routing of spatial information flow from input to output in hippocampal granule cells. Neuron. Elsevier. https://doi.org/10.1016/j.neuron.2020.07.006
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
[13]
2019 | Conference Abstract | IST-REx-ID: 12901 | OA
Schlögl, A., Kiss, J., & Elefante, S. (2019). Is Debian suitable for running an HPC Cluster? In AHPC19 - Austrian HPC Meeting 2019 (p. 25). Grundlsee, Austria: Institut für Mathematik und wissenschaftliches Rechnen der Universität Graz.
[Published Version] View | Files available | Download Published Version (ext.)
 
[12]
2017 | Conference Paper | IST-REx-ID: 630 | OA
Sauermann, S., David, V., Schlögl, A., Egelkraut, R., Frohner, M., Pohn, B., … Mense, A. (2017). Biosignals standards and FHIR: The way to go (Vol. 236, pp. 356–362). Presented at the eHealth: Health Informatics Meets eHealth, Vienna, Austria: IOS Press. https://doi.org/10.3233/978-1-61499-759-7-356
[Published Version] View | Files available | DOI
 
[11]
2017 | Conference Abstract | IST-REx-ID: 12905 | OA
Schlögl, A., & Kiss, J. (2017). Scientific Computing at IST Austria. In AHPC17 – Austrian HPC Meeting 2017 (p. 28). Grundlsee, Austria: FSP Scientific Computing.
[Published Version] View | Files available | Download Published Version (ext.)
 
[10]
2016 | Conference Paper | IST-REx-ID: 10810 | OA
Rubel, P., Pani, D., Schlögl, A., Fayn, J., Badilini, F., Macfarlane, P., & Varri, A. (2016). SCP-ECG V3.0: An enhanced standard communication protocol for computer-assisted electrocardiography. In 2016 Computing in Cardiology Conference (Vol. 43, pp. 309–312). Vancouver, Canada: Computing in Cardiology. https://doi.org/10.22489/cinc.2016.090-500
[Published Version] View | DOI | Download Published Version (ext.)
 
[9]
2016 | Journal Article | IST-REx-ID: 1350 | OA
Guzmán, J., Schlögl, A., Frotscher, M., & Jonas, P. M. (2016). Synaptic mechanisms of pattern completion in the hippocampal CA3 network. Science. American Association for the Advancement of Science. https://doi.org/10.1126/science.aaf1836
[Preprint] View | Files available | DOI
 
[8]
2016 | Conference Abstract | IST-REx-ID: 12903 | OA
Schlögl, A., & Stadlbauer, S. (2016). High performance computing at IST Austria: Modelling the human hippocampus. In AHPC16 - Austrian HPC Meeting 2016 (p. 37). Grundlsee, Austria: VSC - Vienna Scientific Cluster.
[Published Version] View | Files available | Download Published Version (ext.)
 
[7]
2014 | Journal Article | IST-REx-ID: 1890 | OA
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. Wiley-Blackwell. https://doi.org/10.1111/psyp.12062
[Published Version] View | Files available | DOI
 
[6]
2014 | Journal Article | IST-REx-ID: 2230 | OA
Guzmán, J., Schlögl, A., & Schmidt Hieber, C. (2014). Stimfit: Quantifying electrophysiological data with Python. Frontiers in Neuroinformatics. Frontiers Research Foundation. https://doi.org/10.3389/fninf.2014.00016
[Published Version] View | Files available | DOI
 
[5]
2013 | Journal Article | IST-REx-ID: 10396 | OA
Schlögl, A., Jonas, P. M., Schmidt-Hieber, C., & Guzman, S. J. (2013). Stimfit: A fast visualization and analysis environment for cellular neurophysiology. Biomedical Engineering / Biomedizinische Technik. Graz, Austria: De Gruyter. https://doi.org/10.1515/bmt-2013-4181
[Submitted Version] View | Files available | DOI | PubMed | Europe PMC
 
[4]
2012 | Journal Article | IST-REx-ID: 2954 | OA
Pernia-Andrade, A., Goswami, S., Stickler, Y., Fröbe, U., Schlögl, A., & Jonas, P. M. (2012). A deconvolution based method with high sensitivity and temporal resolution for detection of spontaneous synaptic currents in vitro and in vivo. Biophysical Journal. Biophysical. https://doi.org/10.1016/j.bpj.2012.08.039
[Submitted Version] View | DOI | Download Submitted Version (ext.) | PubMed | Europe PMC
 
[3]
2012 | Journal Article | IST-REx-ID: 493 | OA
Tangermann, M., Müller, K., Aertsen, A., Birbaumer, N., Braun, C., Brunner, C., … Blankertz, B. (2012). Review of the BCI competition IV. Frontiers in Neuroscience. Frontiers Research Foundation. https://doi.org/10.3389/fnins.2012.00055
[Published Version] View | Files available | DOI
 
[2]
2011 | Journal Article | IST-REx-ID: 490 | OA
Schlögl, A., Vidaurre, C., & Sander, T. (2011). BioSig: The free and open source software library for biomedical signal processing. Computational Intelligence and Neuroscience. Hindawi Publishing Corporation. https://doi.org/10.1155/2011/935364
[Published Version] View | Files available | DOI
 
[1]
2010 | Book Chapter | IST-REx-ID: 14983
Schlögl, A., Vidaurre, C., & Müller, K.-R. (2010). Adaptive Methods in BCI Research - An Introductory Tutorial. In B. Graimann, G. Pfurtscheller, & B. Allison (Eds.), Brain-Computer Interfaces (1st ed., pp. 331–355). Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-642-02091-9_18
View | DOI
 
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