First-author abstracts

[25] Kreuz T, Federico Senocrate, Gloria Cecchini, Curzio Checcucci, Anna Letizia Allegra Mascaro, Emilia Conti, Alessandro Scaglione, Francesco Saverio Pavone:

Latency correction in sparse neuronal spike trains

SfN Meeting, San Diego, USA (2022).

[24] Kreuz T, Satuvuori E, Mulansky M:

Using spike train distances to evaluate neuronal population coding, Part II

SfN Meeting, Washington DC, USA (2017). 

[23] Kreuz T, Satuvuori E, Mulansky M:

New ways to evaluate neuronal population coding using spike train distances

EMBC, Jeju Island, South Korea (2017). 

[22] Kreuz T, Pofahl M, Räisänen E, Mulansky M:

Leaders and followers: Quantifying consistency of synfire chain patterns in neuronal spike trains

SfN Meeting, San Diego, Ca, USA (2016).

[21] Kreuz T, Pofahl M, Räisänen E, Mulansky M:

Leaders and followers: Quantifying consistency in spatio-temporal propagation patterns

EMBC, Orlando, Fl, USA (2016).

[20] Kreuz T, Räisänen E, Mulansky M:

Leaders and followers: Quantifying consistency in spatio-temporal propagation patterns

Conference Proceedings "Dynamic Days", Corfu, Greece (2016).

[19] Kreuz T, Bozanic N, Mulansky M:

SPIKE-Synchronization: A parameter-free and time-resolved coincidence detector with an intuitive multivariate extension

CNS Conference, Prague, Czech Republic: BMC Neuroscience (2015).

[18] Kreuz T, Bozanic N:

SPIKY: A graphical user interface for tracking spike train similarity

CNS Conference, Quebec City, Canada: BMC Neuroscience 15(1), P201 (2014).

[17] Kreuz T, Bozanic N:

Monitoring spike train synchrony: SPIKY – A graphical user interface

SfN Meeting Program No. 680.5, San Diego, Ca, USA (2013).

[16] Kreuz T, Bozanic N:

Using spike train distances to identify the most discriminative neuronal subpopulation

CNS Conference, Paris, France: BMC Neuroscience 14, P35 (2013).

[15] Kreuz T, Chicharro D, Andrzejak RG:

Measuring real-time synchronization in both spike trains and continuous time series

CNS Conference, Stockholm, Sweden: BMC Neuroscience 12, P3 (2011).

[14] Kreuz T, Chicharro D, Andrzejak RG:

Time-resolved and time-scale adaptive measures of spike train synchrony

SfN Meeting Program No. 616.6, San Diego, Ca, USA (2010).

[13] Kreuz T, Chicharro D, Andrzejak RG:

Measuring spike train synchrony between neuronal populations

SfN Meeting Program No. 789.5, Chicago, Il, USA (2009).

[12] Kreuz T, Chicharro D, Andrzejak RG:

Measuring spike train synchrony between neuronal populations

CNS Conference, Berlin, Germany: BMC Neuroscience 10, 271 (2009).

[11] Kreuz T, Haas JS, Morelli A, Abarbanel HDI, Politi A:

Measuring spike train synchrony and reliability

SfN Meeting Program No. 319.6, San Diego, Ca, USA (2007).

[10] Kreuz T, Haas JS, Morelli A, Abarbanel HDI, Politi A:

Measuring spike train synchrony and reliability

CNS Conference, Toronto, Canada: BMC Neuroscience 8, 79 (2007).

[9] Kreuz T, Luccioli S, Torcini A:

Coherence resonance due to correlated noise in neuronal models 

CNS Conference, Edinburgh, Scotland (2006); Neurocomputing 70, 1970 (2007).

[8] Kreuz T, Andrzejak RG, Kraskov A, Mormann F, Lehnertz K, Grassberger P:

Measuring synchronization in coupled model systems: A comparison of different approaches.

Conference Proceedings "Topical problems of nonlinear wave physics", NWP, Russia (2005).

[7] Kreuz T, Andrzejak RG, Kraskov A, Mormann F, Stoegbauer H, Elger CE, Grassberger P, Lehnertz K:

Measuring synchronization and directionality in EEG time series from epilepsy patients: An application to seizure prediction

American Epilepsy Society, Annual Meeting, New Orleans, USA: Epilepsia 45 (9), 243 (2004).

[6] Kreuz T, Andrzejak RG, Kraskov A, Mormann F, Stoegbauer H, Elger CE, Grassberger P, Lehnertz K:

Time profile surrogates: A new method to validate the performance of seizure prediction algorithms.

American Epilepsy Society, Annual Meeting, Boston, USA: Epilepsia 44 (9), 231 (2003).

[5] Kreuz T, Andrzejak RG, Kraskov A, Mormann F, Stoegbauer H, Elger CE, Grassberger P, Lehnertz K:

Validating the performance of epileptic seizure prediction algorithms using simulated annealing.

Conference Proceedings "Topical problems of nonlinear wave physics", NWP, Russia (2003).

[4] Kreuz T, Kraskov A, Andrzejak RG, Mormann F, Rieke C, Grassberger P, Elger CE, Lehnertz K:

Seizure prediction: Quantifying the performance of measures in distinguishing pre-ictal from inter-ictal states.

American Epilepsy Society, Annual Meeting, Seattle, USA: Epilepsia 43 (7), 48 (2002).

[3] Kreuz T, Kraskov A, Quian Quiroga R, Grassberger P, Andrzejak RG, Mormann F, Rieke C, Lehnertz K, Elger CE:

The capability of different interdependence measures to predict epileptic seizures.

American Epilepsy Society, Annual Meeting, Philadelphia, USA: Epilepsia 42 (7), 39 (2001).

[2] Kreuz T, Quian Quiroga R, Grassberger P, Lehnertz K, Elger CE:

Interdependencies in intracranial EEG recordings of epilepsy patients: A comparison of different measures.

International Epilepsy Congress, Buenos Aires, Argentina: Epilepsia 42 (2), 49 (2001).

[1] Kreuz T, Lehnertz K, David P, Elger CE:

Symbolic Dynamics: Reducing the information content of the EEG for interictal focus localization in mesial temporal lobe epilepsy.

American Epilepsy Society, Annual Meeting, Los Angeles, USA: Epilepsia 41 (7), 212 (2000).