Zafer İşcan

2013-2014 Psychiatry Stony Brook University, Stony Brook, NY, United States 
 2014-2016 Center for Cognition and Decision Making National Research University Higher School of Economics 
 2016-2018 UNICOG NeuroSpin, CEA-Saclay, France, Saint-Aubin, Île-de-France, France 
 2018- Electrical and Electronics Engineering Bahcesehir University 
Brain computer interface, pattern recognition, biological signal processing, classification
"Zafer İşcan"
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İşcan Z, Schurger A, Vernet M, et al. (2018) Pre-stimulus theta power is correlated with variation of motor evoked potential latency: a single-pulse TMS study. Experimental Brain Research
İşcan Z, Nikulin VV. (2018) Steady state visual evoked potential (SSVEP) based brain-computer interface (BCI) performance under different perturbations. Plos One. 13: e0191673
Iscan Z, Rakesh G, Rossano S, et al. (2017) A positron emission tomography study of the serotonergic system in relation to anxiety in depression. European Neuropsychopharmacology : the Journal of the European College of Neuropsychopharmacology
Iscan Z, Nazarova M, Fedele T, et al. (2016) Pre-stimulus Alpha Oscillations and Inter-subject Variability of Motor Evoked Potentials in Single- and Paired-Pulse TMS Paradigms. Frontiers in Human Neuroscience. 10: 504
Fedele T, Blagovechtchenski E, Nazarova M, et al. (2016) Long-Range Temporal Correlations in the amplitude of alpha oscillations predict and reflect strength of intracortical facilitation: Combined TMS and EEG study. Neuroscience
Iscan Z, Jin TB, Kendrick A, et al. (2015) Test-retest reliability of freesurfer measurements within and between sites: Effects of visual approval process. Human Brain Mapping
Iscan Z, Dokur Z. (2015) Classification of steady state visual evoked potentials by Multi-Class T-Weight Method Pattern Recognition and Image Analysis. 25: 321-326
Iscan Z, Kendrick A, DeLorenzo C, et al. (2014) Test-retest reliability of cortical thickness in a multi-site study F1000research. 5
İşcan Z, Dokur Z. (2014) A novel steady-state visually evoked potential-based brain–computer interface design: Character Plotter Biomedical Signal Processing and Control. 10: 145-152
Iscan Z, Dokur Z, Demiralp T. (2011) Classification of electroencephalogram signals with combined time and frequency features Expert Systems With Applications. 38: 10499-10505
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