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24 Publications
2021 | Scientific Software | IST-REx-ID: 10110 | 
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–CA3 network. 2021. doi:10.15479/AT:ISTA:10110
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2020 | Book (Editor) | IST-REx-ID: 7474 |
Schlögl A, Kiss J, Elefante S, eds. Austrian High-Performance-Computing Meeting (AHPC2020). Klosterneuburg, Austria: IST Austria; 2020. doi:10.15479/AT:ISTA:7474
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2020 | Journal Article | IST-REx-ID: 8261 |
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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| PubMed | Europe PMC
2019 | Conference Abstract | IST-REx-ID: 12901 |
Schlögl A, Kiss J, Elefante S. Is Debian suitable for running an HPC Cluster? In: AHPC19 - Austrian HPC Meeting 2019 . Institut für Mathematik und wissenschaftliches Rechnen der Universität Graz; 2019:25.
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2017 | Conference Paper | IST-REx-ID: 630 |
Sauermann S, David V, Schlögl A, et al. Biosignals standards and FHIR: The way to go. In: Vol 236. IOS Press; 2017:356-362. doi:10.3233/978-1-61499-759-7-356
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2017 | Conference Abstract | IST-REx-ID: 12905 |
Schlögl A, Kiss J. Scientific Computing at IST Austria. In: AHPC17 – Austrian HPC Meeting 2017. FSP Scientific Computing; 2017:28.
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2016 | Journal Article | IST-REx-ID: 1350 |
Guzmán J, Schlögl A, Frotscher M, Jonas PM. Synaptic mechanisms of pattern completion in the hippocampal CA3 network. Science. 2016;353(6304):1117-1123. doi:10.1126/science.aaf1836
[Preprint]
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2016 | Conference Abstract | IST-REx-ID: 12903 |
Schlögl A, Stadlbauer S. High performance computing at IST Austria: Modelling the human hippocampus. In: AHPC16 - Austrian HPC Meeting 2016. VSC - Vienna Scientific Cluster; 2016:37.
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2014 | Journal Article | IST-REx-ID: 1890 |
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
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2014 | Journal Article | IST-REx-ID: 2230 |
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
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