10 citations · 19 across the 7 of their papers we have counts for
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physics.data-an2022
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…
physics.data-an2019★ 1 cited
Iterative procedure for network inference
Gloria Cecchini, Bjoern Schelter
When a network is reconstructed from data, two types of errors can occur: false positive and false negative errors about the presence or absence of links. In this paper, the vertex…
physics.data-an2018★ 3 cited
Analytical approach to network inference: Investigating degree distribution
Gloria Cecchini, Bjoern Schelter
When the network is reconstructed, two types of errors can occur: false positive and false negative errors about the presence or absence of links. In this paper, the influence of t…