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Mauro Ursino

Professore ordinario

Dipartimento di Ingegneria dell'Energia Elettrica e dell'Informazione "Guglielmo Marconi"

Settore scientifico disciplinare: ING-INF/06 BIOINGEGNERIA ELETTRONICA E INFORMATICA

Pubblicazioni

M. Giannessi; M. Ursino; W.B.Murray, The design of a digital cerebrovascular simulation model for teaching and research, «ANESTHESIA AND ANALGESIA», 2008, 107, pp. 1997 - 2008 [articolo]

M. Zavaglia; L. Astolfi; F. Babiloni; M. Ursino, The effect of connectivity on EEG rhythms, power spectral density and coherence among coupled neural populations: analysis with a neural mass model, «IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING», 2008, 55, pp. 69 - 77 [articolo]

L. Astolfi; F. Cincotti; D. Mattia; F. De Vico Fallani; A. Tocci; A. Colosimo; S. Salinari; M. G. Marciani; W. Hesse; H. Witte; M.Ursino; M. Zavaglia; F. Babiloni, Tracking the time-varying cortical connectivity patterns by adaptive multivariate estimators, «IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING», 2008, 55, pp. 902 - 913 [articolo]

L. Astolfi; F. Cincotti; D.Mattia; M.G. Marciani; L. Baccala; F. de Vico Fallani; S. Salinari; M. Ursino; M. Zavaglia; L. Ding; J. C. Edgar; G.A. Miller ; B. He; F. Babiloni, A comparison of different cortical connectivity estimators for high resolution EEG recordings, «HUMAN BRAIN MAPPING», 2007, 28, pp. 143 - 157 [articolo]

M. Ursino; M. Giannessi; W.B. Murray, A comprehensive cerebrovascular simulation model for teaching and research, in: Modelling in Medicine and Biology VII, SOUTHAMPTON, WIT Press, 2007, pp. 169 - 178 (WIT Transactions on Biomedicine and Health, Vol 12) [capitolo di libro]

G.E. La Cara; M. Ursino, Direction selectivity of simple cells in the primary visual cortex: comparison of two alternative mathematical models. II: velocity tuning and response to moving bars, «COMPUTERS IN BIOLOGY AND MEDICINE», 2007, 37, pp. 598 - 610 [articolo]

M. Ursino; G.E. La Cara; M. Ritrovato, Direction selectivity of simple cells in the primary visual cortex: comparison of two alternative mathematical models. I: response to drifting gratings, «COMPUTERS IN BIOLOGY AND MEDICINE», 2007, 37, pp. 398 - 414 [articolo]

M. Ursino; M. Zavaglia, Modeling analysis of the relationship between rhythms and connectivity among different neural populations, «JOURNAL OF INTEGRATIVE NEUROSCIENCE», 2007, 6, pp. 597 - 623 [articolo]

Mauro Ursino; Melissa Zavaglia; Laura Astolfi; Fabio Babiloni, Use of a neural mass model for the analysis of effective connectivity among cortical regions based on high resolution EEG recordings, «BIOLOGICAL CYBERNETICS», 2007, 96, pp. 351 - 365 [articolo]

Magosso E.; Ursino M.; Zaniboni A.; Provini F.; Montagna P., Visual and computer-based detection of slow eye movements in overnight and 24-h EOG recordings., «CLINICAL NEUROPHYSIOLOGY», 2007, 118, pp. 1122 - 1133 [articolo]

Ursino M; Coli L; Magosso E; Capriotti P; Fiorenzi A; Baroni P; Stefoni S., A mathematical model for the prediction of solute kinetics, osmolarity and fluid volume changes during hemodiafiltration with on-line regeneration of ultrafiltrate (HFR)., «INTERNATIONAL JOURNAL OF ARTIFICIAL ORGANS», 2006, 29(11), pp. 1031 - 1040 [articolo]

Magosso E; Ursino M; Coli L; Baraldi O; Bolondi L; Stefoni S., A modeling study of bilirubin kinetics during Molecular Adsorbent Recirculating System sessions., «ARTIFICIAL ORGANS», 2006, 30(4), pp. 285 - 300 [articolo]

M. Zavaglia; L. Astolfi; F. Babiloni; M. Ursino, A neural mass model for the simulation of cortical activity estimated from high resolution EEG during cognitive or motor tasks, «JOURNAL OF NEUROSCIENCE METHODS», 2006, 157, pp. 317 - 329 [articolo]

Magosso E.; Provini F.; Montagna P.; Ursino M., A wavelet based method for automatic detection of slow eye movements: a pilot study., «MEDICAL ENGINEERING & PHYSICS», 2006, 28, pp. 860 - 875 [articolo]

L. Astolfi; F. Cincotti; D.Mattia; M.G. Marciani; L. Baccalà; F. de Vico Fallani; S. Salinari; M. Ursino; M. Zavaglia; F. Babiloni, Assessing cortical functional connectivity by partial directed coherence: simulations and application to real data, «IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING», 2006, 53, pp. 1802 - 1812 [articolo]

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