Year |
Citation |
Score |
2022 |
Kreuz T, Senocrate F, Cecchini G, Checcucci C, Mascaro ALA, Conti E, Scaglione A, Pavone FS. Latency correction in sparse neuronal spike trains. Journal of Neuroscience Methods. 381: 109703. PMID 36075286 DOI: 10.1016/j.jneumeth.2022.109703 |
0.528 |
|
2020 |
Adam I, Cecchini G, Fanelli D, Kreuz T, Livi R, Volo Md, Allegra Mascaro AL, Conti E, Scaglione A, Silvestri L, Pavone FS. Inferring network structure and local dynamics from neuronal patterns with quenched disorder Chaos, Solitons & Fractals. 140: 110235. DOI: 10.1016/J.Chaos.2020.110235 |
0.37 |
|
2018 |
Satuvuori E, Mulansky M, Daffertshofer A, Kreuz T. Using spike train distances to identify the most discriminative neuronal subpopulation. Journal of Neuroscience Methods. PMID 30213547 DOI: 10.1186/1471-2202-14-S1-P35 |
0.808 |
|
2018 |
Satuvuori E, Kreuz T. Which spike train distance is most suitable for distinguishing rate and temporal coding? Journal of Neuroscience Methods. PMID 29462713 DOI: 10.1016/J.Jneumeth.2018.02.009 |
0.554 |
|
2017 |
Malvestio I, Kreuz T, Andrzejak RG. Robustness and versatility of a nonlinear interdependence method for directional coupling detection from spike trains. Physical Review. E. 96: 022203. PMID 28950642 DOI: 10.1103/Physreve.96.022203 |
0.826 |
|
2017 |
Satuvuori E, Mulansky M, Bozanic N, Malvestio I, Zeldenrust F, Lenk K, Kreuz T. Measures of spike train synchrony for data with multiple time scales. Journal of Neuroscience Methods. PMID 28583477 DOI: 10.1016/J.Jneumeth.2017.05.028 |
0.779 |
|
2017 |
Kreuz T, Satuvuori E, Pofahl M, Mulansky M. Leaders and followers: quantifying consistency in spatio-temporal propagation patterns New Journal of Physics. 19: 043028. DOI: 10.1088/1367-2630/Aa68C3 |
0.814 |
|
2016 |
Mulansky M, Kreuz T. PySpike—A Python library for analyzing spike train synchrony Softwarex. 5: 183-189. DOI: 10.1016/J.Softx.2016.07.006 |
0.84 |
|
2015 |
Kreuz T, Mulansky M, Bozanic N. SPIKY: a graphical user interface for monitoring spike train synchrony. Journal of Neurophysiology. 113: 3432-45. PMID 25744888 DOI: 10.1186/1471-2202-14-S1-P225 |
0.826 |
|
2015 |
Kreuz T, Bozanic N, Mulansky M. SPIKE-Synchronization: a parameter-free and time-resolved coincidence detector with an intuitive multivariate extension Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-P170 |
0.837 |
|
2015 |
Mulansky M, Bozanic N, Kreuz T. Time-resolved and parameter-free measures of spike train synchrony: properties and applications Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-P133 |
0.836 |
|
2015 |
Mulansky M, Bozanic N, Sburlea A, Kreuz T. A guide to time-resolved and parameter-free measures of spike train synchrony Proceedings of 1st International Conference On Event-Based Control, Communication and Signal Processing, Ebccsp 2015. DOI: 10.1109/EBCCSP.2015.7300693 |
0.819 |
|
2014 |
Andrzejak RG, Mormann F, Kreuz T. Detecting determinism from point processes. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 90: 062906. PMID 25615163 DOI: 10.1103/Physreve.90.062906 |
0.413 |
|
2014 |
Kreuz T, Bozanic N. SPIKY: A graphical user interface for tracking spike train similarity Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P201 |
0.854 |
|
2013 |
Kreuz T, Chicharro D, Houghton C, Andrzejak RG, Mormann F. Monitoring spike train synchrony. Journal of Neurophysiology. 109: 1457-72. PMID 23221419 DOI: 10.1152/Jn.00873.2012 |
0.655 |
|
2013 |
Kreuz T, Bozanic N. Using spike train distances to identify the most discriminative neuronal subpopulation Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P35 |
0.833 |
|
2012 |
Houghton C, Kreuz T. On the efficient calculation of van Rossum distances. Network (Bristol, England). 23: 48-58. PMID 22568695 DOI: 10.3109/0954898X.2012.673048 |
0.587 |
|
2011 |
Chicharro D, Kreuz T, Andrzejak RG. What can spike train distances tell us about the neural code? Journal of Neuroscience Methods. 199: 146-65. PMID 21586303 DOI: 10.1016/J.Jneumeth.2011.05.002 |
0.45 |
|
2011 |
Kreuz T, Chicharro D, Greschner M, Andrzejak RG. Time-resolved and time-scale adaptive measures of spike train synchrony. Journal of Neuroscience Methods. 195: 92-106. PMID 21129402 DOI: 10.1016/J.Jneumeth.2010.11.020 |
0.638 |
|
2011 |
Kreuz T. Measures of spike train synchrony Scholarpedia. 6: 11934. DOI: 10.4249/Scholarpedia.11934 |
0.591 |
|
2011 |
Kreuz T. Measures of neuronal signal synchrony Scholarpedia. 6: 11922. DOI: 10.4249/Scholarpedia.11922 |
0.371 |
|
2011 |
Kreuz T, Chicharro D, GAndrzejak R. Measuring real-time synchronization in both spike trains and continuous time series Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P3 |
0.643 |
|
2010 |
Haas JS, Kreuz T, Torcini A, Politi A, Abarbanel HD. Rate maintenance and resonance in the entorhinal cortex. The European Journal of Neuroscience. 32: 1930-9. PMID 21044179 DOI: 10.1111/J.1460-9568.2010.07455.X |
0.811 |
|
2009 |
Kreuz T, Chicharro D, Andrzejak RG, Haas JS, Abarbanel HD. Measuring multiple spike train synchrony. Journal of Neuroscience Methods. 183: 287-99. PMID 19591867 DOI: 10.1016/J.Jneumeth.2009.06.039 |
0.773 |
|
2009 |
Kreuz T, Chicharro D, Andrzejak RG. Measuring spike train synchrony between neuronal populations Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P271 |
0.601 |
|
2009 |
Chicharro D, Andrzejak RG, Kreuz T. Studying the precision of temporal neural code: some limitations of spike train distances Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P130 |
0.591 |
|
2008 |
Kreuz T, Chicharro D, Andrzejak RG, Haas JS, Abarbanel HD, Torcini A, Politi A. Measuring spike train reliability Bmc Neuroscience. 9. DOI: 10.1186/1471-2202-9-S1-P30 |
0.767 |
|
2007 |
Kreuz T, Haas JS, Morelli A, Abarbanel HD, Politi A. Measuring spike train synchrony. Journal of Neuroscience Methods. 165: 151-61. PMID 17628690 DOI: 10.1016/J.Jneumeth.2007.05.031 |
0.839 |
|
2007 |
Kreuz T, Haas JS, Morelli A, Abarbanel HD, Politi A. Measuring spike train synchrony and reliability Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P79 |
0.844 |
|
2007 |
Kreuz T, Mormann F, Andrzejak RG, Kraskov A, Lehnertz K, Grassberger P. Measuring synchronization in coupled model systems: A comparison of different approaches Physica D: Nonlinear Phenomena. 225: 29-42. DOI: 10.1016/J.Physd.2006.09.039 |
0.738 |
|
2007 |
Kreuz T, Luccioli S, Torcini A. Coherence resonance due to correlated noise in neuronal models Neurocomputing. 70: 1970-1976. DOI: 10.1016/J.Neucom.2006.10.129 |
0.728 |
|
2007 |
Torcini A, Luccioli S, Kreuz T. Coherent response of the Hodgkin-Huxley neuron in the high-input regime Neurocomputing. 70: 1943-1948. DOI: 10.1016/J.Neucom.2006.10.107 |
0.776 |
|
2006 |
Kreuz T, Luccioli S, Torcini A. Double coherence resonance in neuron models driven by discrete correlated noise. Physical Review Letters. 97: 238101. PMID 17280249 DOI: 10.1103/Physrevlett.97.238101 |
0.72 |
|
2006 |
Luccioli S, Kreuz T, Torcini A. Dynamical response of the Hodgkin-Huxley model in the high-input regime. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 73: 041902. PMID 16711831 DOI: 10.1103/Physreve.73.041902 |
0.746 |
|
2006 |
Andrzejak RG, Mormann F, Widman G, Kreuz T, Elger CE, Lehnertz K. Improved spatial characterization of the epileptic brain by focusing on nonlinearity. Epilepsy Research. 69: 30-44. PMID 16503398 DOI: 10.1016/J.Eplepsyres.2005.12.004 |
0.587 |
|
2005 |
Mormann F, Kreuz T, Rieke C, Andrzejak RG, Kraskov A, David P, Elger CE, Lehnertz K. On the predictability of epileptic seizures. Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology. 116: 569-87. PMID 15721071 DOI: 10.1016/J.Clinph.2004.08.025 |
0.587 |
|
2004 |
Kreuz T, Andrzejak RG, Mormann F, Kraskov A, Stögbauer H, Elger CE, Lehnertz K, Grassberger P. Measure profile surrogates: a method to validate the performance of epileptic seizure prediction algorithms. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 69: 061915. PMID 15244625 DOI: 10.1103/Physreve.69.061915 |
0.72 |
|
2003 |
Andrzejak RG, Kraskov A, Stögbauer H, Mormann F, Kreuz T. Bivariate surrogate techniques: necessity, strengths, and caveats. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 68: 066202. PMID 14754292 DOI: 10.1103/Physreve.68.066202 |
0.327 |
|
2003 |
Rieke C, Mormann F, Andrzejak RG, Kreuz T, David P, Elger CE, Lehnertz K. Discerning nonstationarity from nonlinearity in seizure-free and preseizure EEG recordings from epilepsy patients. Ieee Transactions On Bio-Medical Engineering. 50: 634-9. PMID 12769439 DOI: 10.1109/Tbme.2003.810684 |
0.571 |
|
2003 |
Mormann F, Kreuz T, Andrzejak RG, David P, Lehnertz K, Elger CE. Epileptic seizures are preceded by a decrease in synchronization. Epilepsy Research. 53: 173-85. PMID 12694925 DOI: 10.1016/S0920-1211(03)00002-0 |
0.576 |
|
2003 |
Lehnertz K, Mormann F, Kreuz T, Andrzejak RG, Rieke C, David P, Elger CE. Seizure prediction by nonlinear EEG analysis. Ieee Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society. 22: 57-63. PMID 12683064 DOI: 10.1109/Memb.2003.1191451 |
0.571 |
|
2003 |
Mormann F, Andrzejak RG, Kreuz T, Rieke C, David P, Elger CE, Lehnertz K. Automated detection of a preseizure state based on a decrease in synchronization in intracranial electroencephalogram recordings from epilepsy patients. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 67: 021912. PMID 12636720 DOI: 10.1103/Physreve.67.021912 |
0.597 |
|
2003 |
Andrzejak RG, Mormann F, Kreuz T, Rieke C, Kraskov A, Elger CE, Lehnertz K. Testing the null hypothesis of the nonexistence of a preseizure state. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 67: 010901. PMID 12636484 DOI: 10.1103/Physreve.67.010901 |
0.563 |
|
2003 |
Duckrow RB, Albano AM, Quian Quiroga R, Kraskov A, Kreuz T, Grassberger P. Comment on "Performance of different synchronization measures in real data: A case study on electroencephalographic signals" (multiple letters) Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 67: 063901/1-063902/2. |
0.742 |
|
2002 |
Quian Quiroga R, Kreuz T, Grassberger P. Event synchronization: a simple and fast method to measure synchronicity and time delay patterns. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 66: 041904. PMID 12443232 DOI: 10.1103/Physreve.66.041904 |
0.778 |
|
2002 |
Quian Quiroga R, Kraskov A, Kreuz T, Grassberger P. Performance of different synchronization measures in real data: a case study on electroencephalographic signals. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 65: 041903. PMID 12005869 DOI: 10.1103/Physreve.65.041903 |
0.77 |
|
2002 |
Elger CE, Mormann F, Kreuz T, Andrzejak RG, Rieke C, Sowa R, Florin S, David P, Lehnertz K. Characterizing the spatio-temporal dynamics of the epileptogenic process with nonlinear EEG analyses Proceedings of the Ieee International Workshop On Cellular Neural Networks and Their Applications. 2002: 228-242. DOI: 10.1109/CNNA.2002.1035056 |
0.508 |
|
2001 |
Lehnertz K, Andrzejak RG, Arnhold J, Kreuz T, Mormann F, Rieke C, Widman And G, Elger CE. Nonlinear EEG analysis in epilepsy: its possible use for interictal focus localization, seizure anticipation, and prevention. Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society. 18: 209-22. PMID 11528294 DOI: 10.1097/00004691-200105000-00002 |
0.572 |
|
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