Alois Schlögl
Scientific Computing
Jonas Group
8 Publications
2020 | Book (Editor) | IST-REx-ID: 7474 
A. Schlögl, J. Kiss, and S. Elefante, Eds., Austrian High-Performance-Computing meeting (AHPC2020). Klosterneuburg, Austria: IST Austria, 2020.
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| Files available
| DOI
2017 | Conference Paper | IST-REx-ID: 630
S. Sauermann et al., “Biosignals standards and FHIR: The way to go,” presented at the eHealth: Health Informatics Meets eHealth, Vienna, Austria, 2017, vol. 236, pp. 356–362.
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| Files available
| DOI
2016 | Journal Article | IST-REx-ID: 1350
J. Guzmán, A. Schlögl, M. Frotscher, and P. M. Jonas, “Synaptic mechanisms of pattern completion in the hippocampal CA3 network,” Science, vol. 353, no. 6304, pp. 1117–1123, 2016.
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| Files available
| DOI
2014 | Journal Article | IST-REx-ID: 1890
C. Körner, V. Braunstein, M. Stangl, A. Schlögl, C. Neuper, and A. Ischebeck, “Sequential effects in continued visual search: Using fixation-related potentials to compare distractor processing before and after target detection,” Psychophysiology, vol. 51, no. 4, pp. 385–395, 2014.
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| Files available
| DOI
2014 | Journal Article | IST-REx-ID: 2230
J. Guzmán, A. Schlögl, and C. Schmidt Hieber, “Stimfit: Quantifying electrophysiological data with Python,” Frontiers in Neuroinformatics, vol. 8, no. FEB, 2014.
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| Files available
| DOI
2012 | Journal Article | IST-REx-ID: 493
M. Tangermann et al., “Review of the BCI competition IV,” Frontiers in Neuroscience, vol. 6, 2012.
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| Files available
| DOI
2012 | Journal Article | IST-REx-ID: 2954
A. Pernia-Andrade, S. Goswami, Y. Stickler, U. Fröbe, A. Schlögl, and P. M. Jonas, “A deconvolution based method with high sensitivity and temporal resolution for detection of spontaneous synaptic currents in vitro and in vivo,” Biophysical Journal, vol. 103, no. 7, pp. 1429–1439, 2012.
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| DOI
| Download (ext.)
| PubMed | Europe PMC
2011 | Journal Article | IST-REx-ID: 490
A. Schlögl, C. Vidaurre, and T. Sander, “BioSig: The free and open source software library for biomedical signal processing,” Computational Intelligence and Neuroscience, vol. 2011, 2011.
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| Files available
| DOI
8 Publications
2020 | Book (Editor) | IST-REx-ID: 7474
A. Schlögl, J. Kiss, and S. Elefante, Eds., Austrian High-Performance-Computing meeting (AHPC2020). Klosterneuburg, Austria: IST Austria, 2020.
View
| Files available
| DOI
2017 | Conference Paper | IST-REx-ID: 630
S. Sauermann et al., “Biosignals standards and FHIR: The way to go,” presented at the eHealth: Health Informatics Meets eHealth, Vienna, Austria, 2017, vol. 236, pp. 356–362.
View
| Files available
| DOI
2016 | Journal Article | IST-REx-ID: 1350
J. Guzmán, A. Schlögl, M. Frotscher, and P. M. Jonas, “Synaptic mechanisms of pattern completion in the hippocampal CA3 network,” Science, vol. 353, no. 6304, pp. 1117–1123, 2016.
View
| Files available
| DOI
2014 | Journal Article | IST-REx-ID: 1890
C. Körner, V. Braunstein, M. Stangl, A. Schlögl, C. Neuper, and A. Ischebeck, “Sequential effects in continued visual search: Using fixation-related potentials to compare distractor processing before and after target detection,” Psychophysiology, vol. 51, no. 4, pp. 385–395, 2014.
View
| Files available
| DOI
2014 | Journal Article | IST-REx-ID: 2230
J. Guzmán, A. Schlögl, and C. Schmidt Hieber, “Stimfit: Quantifying electrophysiological data with Python,” Frontiers in Neuroinformatics, vol. 8, no. FEB, 2014.
View
| Files available
| DOI
2012 | Journal Article | IST-REx-ID: 493
M. Tangermann et al., “Review of the BCI competition IV,” Frontiers in Neuroscience, vol. 6, 2012.
View
| Files available
| DOI
2012 | Journal Article | IST-REx-ID: 2954
A. Pernia-Andrade, S. Goswami, Y. Stickler, U. Fröbe, A. Schlögl, and P. M. Jonas, “A deconvolution based method with high sensitivity and temporal resolution for detection of spontaneous synaptic currents in vitro and in vivo,” Biophysical Journal, vol. 103, no. 7, pp. 1429–1439, 2012.
View
| DOI
| Download (ext.)
| PubMed | Europe PMC
2011 | Journal Article | IST-REx-ID: 490
A. Schlögl, C. Vidaurre, and T. Sander, “BioSig: The free and open source software library for biomedical signal processing,” Computational Intelligence and Neuroscience, vol. 2011, 2011.
View
| Files available
| DOI