10 citations · 19 across the 7 of their papers we have counts for
7 papers
A topological classifier to characterize brain states: When shape matters more than variance
Aina Ferrà, Gloria Cecchini, Fritz-Pere Nobbe Fisas +2
Despite the remarkable accuracies attained by machine learning classifiers to separate complex datasets in a supervised fashion, most of their operation falls short to provide an i…
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…
Reconstruction scheme for excitatory and inhibitory dynamics with quenched disorder: application to zebrafish imaging
Lorenzo Chicchi, Gloria Cecchini, Ihusan Adam +7
An inverse procedure is developed and tested to recover functional and structural information from global signals of brains activity. The method assumes a leaky-integrate and fire…
Inferring network structure and local dynamics from neuronal patterns with quenched disorder
Ihusan Adam, Gloria Cecchini, Duccio Fanelli +8
An inverse procedure is proposed and tested which aims at recovering the a priori unknown functional and structural information from global signals of living brains activity. To th…
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…
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…