221 citations · 513 across the 18 of their papers we have counts for
8 papers · 1 filter
Latency correction in sparse neuronal spike trains
Thomas Kreuz, Federico Senocrate, Gloria Cecchini +5
Background: In neurophysiological data, latency refers to a global shift of spikes from one spike train to the next, either caused by response onset fluctuations or by finite propa…
Comparative visualization of epidemiological data during various stages of a pandemic
Thomas Kreuz
After COVID-19 was first reported in China at the end of 2019, it took only a few months for this local crisis to turn into a global pandemic with unprecedented disruptions of ever…
Measures of spike train synchrony and directionality
Eero Satuvuori, Irene Malvestio, Thomas Kreuz
Measures of spike train synchrony have become important tools in both experimental and theoretical neuroscience. Three time-resolved measures called the ISI-distance, the SPIKE-dis…
Measures of spike train synchrony for data with multiple time-scales
Eero Satuvuori, Mario Mulansky, Nebojsa Bozanic +4
Background: Measures of spike train synchrony are widely used in both experimental and computational neuroscience. Time-scale independent and parameter-free measures, such as the I…
Leaders and followers: Quantifying consistency in spatio-temporal propagation patterns
Thomas Kreuz, Eero Satuvuori, Martin Pofahl +1
Repetitive spatio-temporal propagation patterns are encountered in fields as wide-ranging as climatology, social communication and network science. In neuroscience, perfectly consi…
PySpike - A Python library for analyzing spike train synchrony
Mario Mulansky, Thomas Kreuz
Understanding how the brain functions is one of the biggest challenges of our time. The analysis of experimentally recorded neural firing patterns (spike trains) plays a crucial ro…