68 citations · 133 across the 7 of their papers we have counts for
7 papers
Optimal stimulation sites are not the most affected: personalised models of resting-state fMRI in Alzheimer's disease
Cristiano Capone, Enza Cece, Andrea Ciardiello +3
Resting-state functional connectivity (FC) is altered in Alzheimer's disease (AD), widely regarded as a distributed network process; whether its signature reduces to a few focal si…
Reconstruction of the temporal correlation network of all-cause mortality fluctuation across Italian regions: the importance of temperature and among-nodes flux
Guido Gigante, Alessandro Giuliani
All-cause mortality is a very coarse grain, albeit very reliable, index to check the health implications of lifestyle determinants, systemic threats and socio-demographic factors.…
Exploiting Multiple Timescales in Hierarchical Echo State Networks
Luca Manneschi, Matthew O. A. Ellis, Guido Gigante +3
Echo state networks (ESNs) are a powerful form of reservoir computing that only require training of linear output weights whilst the internal reservoir is formed of fixed randomly…
Spontaneous activity emerging from an inferred network model captures complex temporal dynamics of spiking data
Cristiano Capone, Guido Gigante, Paolo Del Giudice
The combination of new recording techniques in neuroscience and powerful inference methods recently held the promise to recover useful effective models, at the single neuron or net…
Density-based clustering: A 'landscape view' of multi-channel neural data for inference and dynamic complexity analysis
Gabriel Baglietto, Guido Gigante, Paolo Del Giudice
Simultaneous recordings from N electrodes generate N-dimensional time series that call for efficient representations to expose relevant aspects of the underlying dynamics. Binning…
Network events on multiple space and time scales in cultured neural networks and in a stochastic rate model
Guido Gigante, Gustavo Deco, Shimon Marom +1
Cortical networks, in-vitro as well as in-vivo, can spontaneously generate a variety of collective dynamical events such as network spikes, UP and DOWN states, global oscillations,…
Inferring Synaptic Structure in presence of Neural Interaction Time Scales
Cristiano Capone, Carla Filosa, Guido Gigante +2
Biological networks display a variety of activity patterns reflecting a web of interactions that is complex both in space and time. Yet inference methods have mainly focused on rec…