56 citations
- Italian Institute of TechnologyIT21 papers
- University of TrentoIT6 papers
- Harvard UniversityUS4 papers
- Imperial College LondonGB3 papers
- University of GlasgowGB3 papers
- University of TurinIT3 papers
- Institute for Complex SystemsIT2 papers
- Sapienza University of RomeIT2 papers
- Universitat Pompeu FabraES2 papers
- University of St AndrewsGB2 papers
- Berenson Allen Center for Noninvasive Brain StimulationUS1 paper
- Beth Israel Deaconess Medical CenterUS1 paper
7 papers · 1 filter
Redundancy and synergy in dual decompositions of mutual information gain and information loss
Daniel Chicharro, Stefano Panzeri
Williams and Beer (2010) proposed a nonnegative mutual information decomposition, based on the construction of information gain lattices, which allows separating the information th…
Community detection in weighted brain connectivity networks beyond the resolution limit
Carlo Nicolini, Cécile Bordier, Angelo Bifone
Graph theory provides a powerful framework to investigate brain functional connectivity networks and their modular organization. However, most graph-based methods suffer from a fun…
Strain-induced spin resonance shifts in silicon devices
J. J. Pla, A. Bienfait, G. Pica +8
In spin-based quantum information processing devices, the presence of control and detection circuitry can change the local environment of a spin by introducing strain and electric…
Implementing a Reverse Dictionary, based on word definitions, using a Node-Graph Architecture
Sushrut Thorat, Varad Choudhari
In this paper, we outline an approach to build graph-based reverse dictionaries using word definitions. A reverse dictionary takes a phrase as an input and outputs a list of words…
Theory of single and two-qubit operations with donor-bound electron spins in germanium
Giuseppe Pica, Brendon W. Lovett
The possibility of quantum computing with spins in germanium nanoscale transistors has recently attracted interest since it promises highly tuneable qubits that have encouraging co…
Hierarchical organization of functional connectivity in the mouse brain: a complex network approach
Giampiero Bardella, Angelo Bifone, Andrea Gabrielli +2
This paper represents a contribution to the study of the brain functional connectivity from the perspective of complex networks theory. More specifically, we apply graph theoretica…