DATAI 2
ADDB  1,2
ROTC  2,-22
XOR   1,2
JRST  .-4

Software

  • rqaGui — a simple graphical frontend to the Recurrence Plot binary (Python)
  • rqaci— functions to compute confidence bounds of RQA measures (Matlab)
  • bvarenamer — renaming tool for BrainVision file (Python)
  • bvaloader — import and epoch Brain Vision data without EEGlab (Matlab)
  • pent.m (O’Hora et al, 2013) — function to compute permutation entropy of a time series (Matlab)
  • orpan.m (Schinkel et al, 2012) — function to compute order pattern networks (Matlab)
  • jrpmat.zip (Schinkel et al, 2011) — functions compute recurrence-based networks (Matlab)
    • to compute connected/network components a Floyd-Warshall algorithm is required (Fast Floyd)
  • edfreader.m — function to import EDF/EDF+ data (Matlab)
  • bdfreader.m — function to import BDF data, optimized for BioSemi data w/ respect to trigger extraction (Matlab)
  • ptest.m — a simple permutation test for comparision of means (Matlab)
  • pytex— a very thin wrapper for LaTeX and BibTeX (Python)
  • a2book — convert a(ny) file to print as a booklet on an A4 duplex printer (shell)
  • findRequiredFunctions — A simple, recursive dependency solver for Matlab (Matlab)

Publications

P. Köthur, C. Witt, M. Sips, N. Marwan, S. Schinkel and D. Dransch (2015) Visual Analytics for Correlation-Based Comparison of Time Series Ensembles Computer Graphics Forum 34(1). doi: 10.1111/cgf.12653

S. Schinkel, G. Ivanova, J. Kurths and W. Sommer (2014) Modulation of the N170 adaptation profile by higher level factors Biological Psychology 97, pp. 27-–34. doi: 10.1016/j.biopsycho.2014.01.003

D. O’Hora, S. Schinkel, M. J. Hogan, L. Kilmartin, M. Keane, R. Lai and N. Upton (2013) Age-Related Task Sensitivity of Frontal EEG Entropy During Encoding Predicts Retrieval,Brain Topography, doi: 10.1007/s10548-013-0278-x »Software «

N. Marwan, S. Schinkel and J. Kurths (2013) Recurrence plots 25 years later: Gaining confidence in dynamical transitions, EPL 101(20007), doi: 10.1209/0295-5075/101/20007

S. Schinkel, G. Zamora-López, O. Dimigen, W. Sommer and J. Kurths (2012) Order Patterns Networks (ORPAN) - a method to estimate time-evolving functional connectivity from multivariate time series, Front. Comput. Neurosci., 6(91), doi: 10.3389/fncom.2012.00091 » Software « » supplement «

J. Kurths, N. Marwan, M. Riedl and S. Schinkel (2012) Complex Synchronization and Recurrence Analyses – are such Nonlinear Techniques Useful for Brain Oscillation Studies?, Biomedical Engineering/ Biomedizinische Technik, 57(386) .doi: 10.1515/bmt-2012-4537

S. Schinkel, G. Zamora-López, O. Dimigen, W. Sommer and J. Kurths (2011) Functional network analysis reveals differences in the semantic priming task, Journal of Neuroscience Methods, 197(2), pp.333-339. doi: 10.1016/j.jneumeth.2011.02.018    » Software «

S. Schinkel (2010) Single trial analysis of event-related potentials  – a recurrence-based approach – , PhD thesis, University of Potsdam.

S. Schinkel, N. Marwan and J. Kurths (2009) Brain signal analysis based on recurrences,Journal of Physiology - Paris, 103 (6), pp. 315-323. doi: 10.1016/j.jphysparis.2009.05.007

S. Schinkel, N. Marwan, O. Dimigen and J. Kurths (2009) Confidence bounds of recurrence-based complexity measures, Physics Letters A, 373(26), pp. 2245-2250. doi:10.1016/j.physleta.2009.04.045» Software «

S. Schinkel, O. Dimigen and N. Marwan (2008) Selection of recurrence threshold for signal detection,European Physical Journal – Special Topics, 164 (1), pp. 45-53. doi: 10.1140/epjst/e2008-00833-5

N. Marwan, S. Schinkel and J. Kurths (2008) Significance for a Recurrence Based Transition Analysis, Proceedings of International Symposium on Nonlinear Theory and its Applications (NOLTA'08), pp. 412-415

S. Schinkel, N. Marwan and J. Kurths (2008) Symbol-based recurrence analysis of EEG data, Proceedings of the Biosignalverarbeitung 2008: "Innovationen bei der Erfassung und Analyse bioelektrischer und biomagnetischer Signale"

S. Schinkel, N. Marwan and J. Kurths (2007) Recurrence Quantification Analysis and its application to ERP data, Proceedings of the 1st Workgroup Meetings of the COST Action BM601 Neuromath

S. Schinkel, N. Marwan and J. Kurths (2007) Order Patterns Recurrence Plots in the Analysis of ERP Data, Cognitive Neurodynamics, 1(4), pp. 317-325, doi: 10.1007/s11571-007-9023-z  

S. Schinkel (2006) EKP Untersuchung mit Hilfe der quantitativen Analyse von Recurrence Plots, Diplomarbeit (Master's Thesis), University of Potsdam

Talks and Presentations

September 2012, Hong Kong "Biological basis of individual differences in human social communi­cative abilities - quantitative experiments, computational methods and modeling" — Time-evolving functional brain networks during face and word processing

September 2012, Berlin, Germany, Partition Workshop 2012 — Reconstruction of time-evolving functional brain networks using order patterns

September 2012, Prague, Czech Republic, Tenth International Neural Coding Workshop — Order patterns networks (ORPAN) – Concept and applications

May 2012, Vietri sul Mare, Italy, TIMELY Workshop on Dynamical systems for psychological timing and timing in speech processing — Workshop on RQA and EEG »Lecture Notes «

May 2011, Thessaloniki, Greece, SAN meeting 2011 — S. Schinkel, G. Zamora-López, O. Dimigen, W. Sommer and J. Kurths :Recurrence-based analysis of event-related potentials (Talk)

May 2011, Thessaloniki, Greece, SAN meeting 2011 — G. Zamora-López, S. Schinkel and J. Kurths : Recurrent brain states during single-trials and evoked responses (Poster)

May 2011, Galway, Ireland — S. Schinkel: Recurrence Quantification Analysis: A nonlinear method of eeg analysis (Hands-on seminar)

November 2010, Galway, Ireland — S. Schinkel: Recurrence-based analysis of event-related potentials — When theoretical physics meets experimental psychology (Guest Lecture)

August 2009, Montréal, QC Canada, Third international symposium on recurrence plots — S. Schinkel, N. Marwan, O. Dimigen and J. Kurths : Confidence Bounds of recurrence-based complexity measures (Talk)

October 2008, Potsdam, Berlin-Brandenburg Dynamic Days — S. Schinkel, N. Marwan and J. Kurths : Confidence Bounds of Univariate Time Series (in terms of complexity measures) (Talk)

July 2008, Potsdam, Biosignalverarbeitung 2008: "Innovationen bei der Erfassung und Analyse bioelektrischer undbiomagnetischer Signale" — S. Schinkel, N. Marwan and J. Kurths : Symbolbasierte Rekurrenzanalysen electroencephalographischer Daten (Talk)

July 2008, Potsdam, Biosignalverarbeitung 2008: "Innovationen bei der Erfassung und Analyse bioelektrischer und biomagnetischer Signale" — N. Marwan and S. Schinkel : A statistical test for a recurrence based transition analysis of brain signals (Poster)

April 2008, Vienna, General Assembly of EGU — N. Marwan, S. Schinkel, J. Kurths, and M. Trauth : Significance for a recurrence based transition analysis (Talk)

April 2008, Potsdam, EEG-Workshop of the DFG Research Group (FOR868) Mind and Brain Dynamics — S. Schinkel, N. Marwan and J. Kurths : Ordinal time series analysis and its application to ERP data (Talk)

December 2007, Rome, Workshop of the COST Action BM601 Neuromath — S. Schinkel, N. Marwan and J. Kurths : Recurrence Quantification Analysis and its application to ERP data (Talk)

October 2007, Potsdam, Third Conference of the BioSim EU Network of Excellence — S. Schinkel, N. Marwan and J. Kurths : TOCSY - Toolboxes for data analysis in BioSim (Talk)

July 2006, Liebenwalde, Third Workshop of the "International Graduate School Computational Neuroscience of Behavioural and Cognitive Dynamics" — S. Schinkel, N. Marwan and J. Kurths : Advanced ERP Analysis by means of Recurrence Quantification Analysis (RQA) (Talk)

July 2006, Potsdam, Workshop Biosignalverarbeitung: "Impulsgeber in der Biomedizinischen Technik - aktueller Stand, neue Entwicklungen und Tendenzen" — N. Marwan, S. Schinkel and J. Kurths : Recurrence-Plot-basierte Biosignalverarbeitung (Talk)

April 2006, Potsdam, PhD days of the "Nonlinear Dynamics Group" — S. Schinkel, N. Marwan and J. Kurths : Analysing Single-Trial Event Related Potentials (ERP) by means of Recurrence Quantification Analysis (RQA) (Talk)

Stefan Schinkel

PGP key