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pro vyhledávání: '"Benozzo"'
Autor:
Casti, Umberto, Baggio, Giacomo, Benozzo, Danilo, Zampieri, Sandro, Bertoldo, Alessandra, Chiuso, Alessandro
In this paper, we consider stable stochastic linear systems modeling whole-brain resting-state dynamics. We parametrize the state matrix of the system (effective connectivity) in terms of its steady-state covariance matrix (functional connectivity) a
Externí odkaz:
http://arxiv.org/abs/2310.07262
Given a fibration $f: X \to Y$ with general fibre $X_y$, over a field of positive characteristic, we establish the Iitaka-type inequality $\kappa(X,-K_X) \leq \kappa(X_y,-K_{X_y})+\kappa(Y,-K_Y)$ whenever $X_y$ has good F-singularities.
Comment:
Comment:
Externí odkaz:
http://arxiv.org/abs/2309.16580
Autor:
Benozzo, Marta
Let $f: X \to Z$ be a fibration from a normal projective variety $X$ of dimension $n$ onto a normal curve $Z$ over a perfect field of characteristic $p>0$. Let $(X, B)$ be a dlt pair such that the induced pair on a general fibre is log canonical. Ass
Externí odkaz:
http://arxiv.org/abs/2305.19841
Autor:
Danilo Benozzo, Giacomo Baggio, Giorgia Baron, Alessandro Chiuso, Sandro Zampieri, Alessandra Bertoldo
Publikováno v:
Harvard Data Science Review, Vol 8, Iss 3 (2024)
Externí odkaz:
https://doaj.org/article/a201be7830e343119ad97644ffacb3eb
Autor:
Benozzo, Marta
Given a separable fibration over an algebraically closed field of positive characteristic, we study an Iitaka-type inequality for the anticanonical divisors. We conclude that it holds when the source of the fibration is a threefold or when the target
Externí odkaz:
http://arxiv.org/abs/2204.02045
Autor:
Danilo Benozzo, Giorgia Baron, Ludovico Coletta, Alessandro Chiuso, Alessandro Gozzi, Alessandra Bertoldo
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Exploring how the emergent functional connectivity (FC) relates to the underlying anatomy (structural connectivity, SC) is one of the major goals of modern neuroscience. At the macroscale level, no one-to-one correspondence between structura
Externí odkaz:
https://doaj.org/article/669e9d81c8f54a68b7f0aff3473292ed
Neurons in the monkey frontopolar cortex encode learning stage and goal during a fast learning task.
Autor:
Simon Nougaret, Lorenzo Ferrucci, Francesco Ceccarelli, Stefano Sacchetti, Danilo Benozzo, Valeria Fascianelli, Richard C Saunders, Luc Renaud, Aldo Genovesio
Publikováno v:
PLoS Biology, Vol 22, Iss 2, p e3002500 (2024)
The frontopolar cortex (FPC) is, to date, one of the least understood regions of the prefrontal cortex. The current understanding of its function suggests that it plays a role in the control of exploratory behaviors by coordinating the activities of
Externí odkaz:
https://doaj.org/article/80078f5c7db24a47935207326c4523ee
Autor:
Karan Kabbur Hanumanthappa Manjunatha, Giorgia Baron, Danilo Benozzo, Erica Silvestri, Maurizio Corbetta, Alessandro Chiuso, Alessandra Bertoldo, Samir Suweis, Michele Allegra
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 1, p e1011274 (2024)
The network control theory framework holds great potential to inform neurostimulation experiments aimed at inducing desired activity states in the brain. However, the current applicability of the framework is limited by inappropriate modeling of brai
Externí odkaz:
https://doaj.org/article/f62169b5bdc74fa6922e1c82b42b7602
Akademický článek
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Autor:
Benozzo, Danilo
The study of causality has drawn the attention of researchers from many different fields for centuries. In particular, nowadays causal inference is a central question in neuroscience and an entire body of research, called brain effective connectivity
Externí odkaz:
https://hdl.handle.net/11572/368744