Alois Schlögl

Scientific Computing
Jonas Group

10 Publications

Mark all

[10]
2021 | Journal Article | IST-REx-ID: 9329 | OA
MOD: A novel machine-learning optimal-filtering method for accurate and efficient detection of subthreshold synaptic events in vivo
X. Zhang, A. Schlögl, D.H. Vandael, P.M. Jonas, Journal of Neuroscience Methods 357 (2021).
View | Files available | DOI
 
[9]
2020 | Journal Article | IST-REx-ID: 8261 | OA
Selective routing of spatial information flow from input to output in hippocampal granule cells
X. Zhang, A. Schlögl, P.M. Jonas, Neuron 107 (2020) 1212–1225.
View | Files available | DOI | PubMed | Europe PMC
 
[8]
2020 | Book (Editor) | IST-REx-ID: 7474 | OA
Austrian High-Performance-Computing meeting (AHPC2020)
A. Schlögl, J. Kiss, S. Elefante, eds., Austrian High-Performance-Computing Meeting (AHPC2020), IST Austria, Klosterneuburg, Austria, 2020.
View | Files available | DOI
 
[7]
2017 | Conference Paper | IST-REx-ID: 630 | OA
Biosignals standards and FHIR: The way to go
S. Sauermann, V. David, A. Schlögl, R. Egelkraut, M. Frohner, B. Pohn, P. Urbauer, A. Mense, in:, IOS Press, 2017, pp. 356–362.
View | Files available | DOI
 
[6]
2016 | Journal Article | IST-REx-ID: 1350 | OA
Synaptic mechanisms of pattern completion in the hippocampal CA3 network
J. Guzmán, A. Schlögl, M. Frotscher, P.M. Jonas, Science 353 (2016) 1117–1123.
View | Files available | DOI
 
[5]
2014 | Journal Article | IST-REx-ID: 1890 | OA
Sequential effects in continued visual search: Using fixation-related potentials to compare distractor processing before and after target detection
C. Körner, V. Braunstein, M. Stangl, A. Schlögl, C. Neuper, A. Ischebeck, Psychophysiology 51 (2014) 385–395.
View | Files available | DOI
 
[4]
2014 | Journal Article | IST-REx-ID: 2230 | OA
Stimfit: Quantifying electrophysiological data with Python
J. Guzmán, A. Schlögl, C. Schmidt Hieber, Frontiers in Neuroinformatics 8 (2014).
View | Files available | DOI
 
[3]
2012 | Journal Article | IST-REx-ID: 2954 | OA
A deconvolution based method with high sensitivity and temporal resolution for detection of spontaneous synaptic currents in vitro and in vivo
A. Pernia-Andrade, S. Goswami, Y. Stickler, U. Fröbe, A. Schlögl, P.M. Jonas, Biophysical Journal 103 (2012) 1429–1439.
View | DOI | Download Submitted Version (ext.) | PubMed | Europe PMC
 
[2]
2012 | Journal Article | IST-REx-ID: 493 | OA
Review of the BCI competition IV
M. Tangermann, K. Müller, A. Aertsen, N. Birbaumer, C. Braun, C. Brunner, R. Leeb, C. Mehring, K. Miller, G. Müller Putz, G. Nolte, G. Pfurtscheller, H. Preissl, G. Schalk, A. Schlögl, C. Vidaurre, S. Waldert, B. Blankertz, Frontiers in Neuroscience 6 (2012).
View | Files available | DOI
 
[1]
2011 | Journal Article | IST-REx-ID: 490 | OA
BioSig: The free and open source software library for biomedical signal processing
A. Schlögl, C. Vidaurre, T. Sander, Computational Intelligence and Neuroscience 2011 (2011).
View | Files available | DOI
 
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10 Publications

Mark all

[10]
2021 | Journal Article | IST-REx-ID: 9329 | OA
MOD: A novel machine-learning optimal-filtering method for accurate and efficient detection of subthreshold synaptic events in vivo
X. Zhang, A. Schlögl, D.H. Vandael, P.M. Jonas, Journal of Neuroscience Methods 357 (2021).
View | Files available | DOI
 
[9]
2020 | Journal Article | IST-REx-ID: 8261 | OA
Selective routing of spatial information flow from input to output in hippocampal granule cells
X. Zhang, A. Schlögl, P.M. Jonas, Neuron 107 (2020) 1212–1225.
View | Files available | DOI | PubMed | Europe PMC
 
[8]
2020 | Book (Editor) | IST-REx-ID: 7474 | OA
Austrian High-Performance-Computing meeting (AHPC2020)
A. Schlögl, J. Kiss, S. Elefante, eds., Austrian High-Performance-Computing Meeting (AHPC2020), IST Austria, Klosterneuburg, Austria, 2020.
View | Files available | DOI
 
[7]
2017 | Conference Paper | IST-REx-ID: 630 | OA
Biosignals standards and FHIR: The way to go
S. Sauermann, V. David, A. Schlögl, R. Egelkraut, M. Frohner, B. Pohn, P. Urbauer, A. Mense, in:, IOS Press, 2017, pp. 356–362.
View | Files available | DOI
 
[6]
2016 | Journal Article | IST-REx-ID: 1350 | OA
Synaptic mechanisms of pattern completion in the hippocampal CA3 network
J. Guzmán, A. Schlögl, M. Frotscher, P.M. Jonas, Science 353 (2016) 1117–1123.
View | Files available | DOI
 
[5]
2014 | Journal Article | IST-REx-ID: 1890 | OA
Sequential effects in continued visual search: Using fixation-related potentials to compare distractor processing before and after target detection
C. Körner, V. Braunstein, M. Stangl, A. Schlögl, C. Neuper, A. Ischebeck, Psychophysiology 51 (2014) 385–395.
View | Files available | DOI
 
[4]
2014 | Journal Article | IST-REx-ID: 2230 | OA
Stimfit: Quantifying electrophysiological data with Python
J. Guzmán, A. Schlögl, C. Schmidt Hieber, Frontiers in Neuroinformatics 8 (2014).
View | Files available | DOI
 
[3]
2012 | Journal Article | IST-REx-ID: 2954 | OA
A deconvolution based method with high sensitivity and temporal resolution for detection of spontaneous synaptic currents in vitro and in vivo
A. Pernia-Andrade, S. Goswami, Y. Stickler, U. Fröbe, A. Schlögl, P.M. Jonas, Biophysical Journal 103 (2012) 1429–1439.
View | DOI | Download Submitted Version (ext.) | PubMed | Europe PMC
 
[2]
2012 | Journal Article | IST-REx-ID: 493 | OA
Review of the BCI competition IV
M. Tangermann, K. Müller, A. Aertsen, N. Birbaumer, C. Braun, C. Brunner, R. Leeb, C. Mehring, K. Miller, G. Müller Putz, G. Nolte, G. Pfurtscheller, H. Preissl, G. Schalk, A. Schlögl, C. Vidaurre, S. Waldert, B. Blankertz, Frontiers in Neuroscience 6 (2012).
View | Files available | DOI
 
[1]
2011 | Journal Article | IST-REx-ID: 490 | OA
BioSig: The free and open source software library for biomedical signal processing
A. Schlögl, C. Vidaurre, T. Sander, Computational Intelligence and Neuroscience 2011 (2011).
View | Files available | DOI
 
Marked Publication(s)

Search

Filter Publications

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