F
Fabio Vallone
Researcher at Sant'Anna School of Advanced Studies
Publications - 21
Citations - 410
Fabio Vallone is an academic researcher from Sant'Anna School of Advanced Studies. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 8, co-authored 17 publications receiving 268 citations. Previous affiliations of Fabio Vallone include University of Pisa & University of the Basque Country.
Papers
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Journal ArticleDOI
Neuroplastic Changes Following Brain Ischemia and their Contribution to Stroke Recovery: Novel Approaches in Neurorehabilitation
Claudia Alia,Cristina Spalletti,Stefano Lai,Alessandro Panarese,Giuseppe Lamola,Federica Bertolucci,Fabio Vallone,Fabio Vallone,Fabio Vallone,Angelo Di Garbo,Carmelo Chisari,Silvestro Micera,Silvestro Micera,Matteo Caleo +13 more
TL;DR: Advances in the comprehension of post-stroke network reorganization in patients and animal models are discussed, and the potential use of non-invasive brain stimulation techniques to boost recovery is illustrated.
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Dynamical correlation functions and the quantum Rabi model
F. A. Wolf,Fabio Vallone,Guillermo Romero,Marcus Kollar,Enrique Solano,Enrique Solano,Daniel Braak +6 more
TL;DR: In this article, a quantitative criterion for classifying two regions of the quantum Rabi model, involving the Jaynes-Cummings, the ultrastrong-coupling, and the deep strong coupling regimes, was proposed.
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General linear dynamics ? quantum, classical or hybrid
TL;DR: In this paper, a path integral formulation of classical Hamiltonian dynamics is proposed for hybrid dynamics, which concerns the direct coupling of classical and quantum mechanical degrees of freedom, which is of practical as well as of foundational interest and no fully satisfactory solution has been established to date.
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Bioelectronic medicine for the autonomic nervous system: clinical applications and perspectives.
Marina Cracchiolo,Matteo Maria Ottaviani,Alessandro Panarese,Ivo Strauss,Fabio Vallone,Alberto Mazzoni,Silvestro Micera +6 more
TL;DR: In this article, the authors present the main clinical results achieved so far by different bioelectronic medicine approaches and discuss the challenges encountered in fully exploiting the potential of neuromodulatory strategies.
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Neural signal recording and processing in somatic neuroprosthetic applications. A review
Stanisa Raspopovic,Andrea Cimolato,Alessandro Panarese,Fabio Vallone,Jaume del Valle,Silvestro Micera,Silvestro Micera,Xavier Navarro +7 more
TL;DR: The different existing approaches for PNS signals recording, denoising, processing and classification are reviewed, enabling their use for bidirectional interfaces and some of the main limitations are pointed out, which are hampering clinical translation of neural decoding.