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27 Publications


2016 | Published | 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 | WoS
 

2014 | Published | 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 | WoS
 

2014 | Published | 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 | WoS
 

2012 | Published | 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.) | WoS | PubMed | Europe PMC
 

2012 | Published | 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 | WoS
 

2011 | Published | 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 | WoS
 

2010 | Published | 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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