activity
20162020
most citedLeaders and followers: Quantifying consistency in spatio-temporal propagation patterns

24 citations · 33 across the 4 of their papers we have counts for

collaborators

5 papers

physics.data-an2020

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…

q-bio.NC2018★ 9 cited

Using spike train distances to identify the most discriminative neuronal subpopulation

Eero Satuvuori, Mario Mulansky, Andreas Daffertshofer +1

Background: Spike trains of multiple neurons can be analyzed following the summed population (SP) or the labeled line (LL) hypothesis. Responses to external stimuli are generated b…

q-bio.NC2017

Which spike train distance is most suitable for distinguishing rate and temporal coding?

Eero Satuvuori, Thomas Kreuz

Background: It is commonly assumed in neuronal coding that repeated presentations of a stimulus to a coding neuron elicit similar responses. One common way to assess similarity are…

physics.data-an2017

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…

physics.data-an2016★ 24 cited

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…