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Mauro Ursino
Mauro Ursino
Department of Electrical, Electronic, and Information Engineering Area di Campus Cesena Via Dell
Verified email at unibo.it - Homepage
Title
Cited by
Cited by
Year
Interaction between carotid baroregulation and the pulsating heart: a mathematical model
M Ursino
American Journal of Physiology-Heart and Circulatory Physiology 275 (5 …, 1998
5221998
A simple mathematical model of the interaction between intracranial pressure and cerebral hemodynamics
M Ursino, CA Lodi
Journal of applied physiology 82 (4), 1256-1269, 1997
4631997
Comparison of different cortical connectivity estimators for high‐resolution EEG recordings
L Astolfi, F Cincotti, D Mattia, MG Marciani, LA Baccala, F de Vico Fallani, ...
Human brain mapping 28 (2), 143-157, 2007
4202007
A mathematical study of human intracranial hydrodynamics part 1—the cerebrospinal fluid pulse pressure
M Ursino
Annals of biomedical engineering 16, 379-401, 1988
2621988
A mathematical study of some biomechanical factors affecting the oscillometric blood pressure measurement
M Ursino, C Cristalli
IEEE transactions on Biomedical Engineering 43 (8), 761-778, 1996
2321996
Tracking the time-varying cortical connectivity patterns by adaptive multivariate estimators
L Astolfi, F Cincotti, D Mattia, FDV Fallani, A Tocci, A Colosimo, S Salinari, ...
IEEE Transactions on Biomedical Engineering 55 (3), 902-913, 2008
2182008
Interaction among autoregulation, CO2 reactivity, and intracranial pressure: a mathematical model
M Ursino, CA Lodi
American Journal of Physiology-Heart and Circulatory Physiology 274 (5 …, 1998
2021998
Role of short-term cardiovascular regulation in heart period variability: a modeling study
M Ursino, E Magosso
American Journal of Physiology-Heart and Circulatory Physiology 284 (4 …, 2003
1882003
Acute cardiovascular response to isocapnic hypoxia. I. A mathematical model
M Ursino, E Magosso
American Journal of Physiology-Heart and Circulatory Physiology 279 (1 …, 2000
1852000
Assessing cortical functional connectivity by partial directed coherence: simulations and application to real data
L Astolfi, F Cincotti, D Mattia, MG Marciani, LA Baccala, FDV Fallani, ...
IEEE Transactions on Biomedical Engineering 53 (9), 1802-1812, 2006
1602006
A mathematical model of the relationship between cerebral blood volume and intracranial pressure changes: the generation of plateau waves
M Ursino, P Di Giammarco
Annals of biomedical engineering 19, 15-42, 1991
1421991
The generation of rhythms within a cortical region: analysis of a neural mass model
M Ursino, F Cona, M Zavaglia
NeuroImage 52 (3), 1080-1094, 2010
1292010
Relationships among cerebral perfusion pressure, autoregulation, and transcranial Doppler waveform: a modeling study
M Ursino, M Giulioni, CA Lodi
Journal of neurosurgery 89 (2), 255-266, 1998
1231998
Cerebral hemodynamics during arterial and CO2 pressure changes: in vivo prediction by a mathematical model
M Ursino, A Ter Minassian, CA Lodi, L Beydon
American Journal of Physiology-Heart and Circulatory Physiology 279 (5 …, 2000
1182000
Travelling waves and EEG patterns during epileptic seizure: analysis with an integrate-and-fire neural network
M Ursino, GE La Cara
Journal of theoretical biology 242 (1), 171-187, 2006
1152006
An integrated mathematical model of the human cardiopulmonary system: model development
A Albanese, L Cheng, M Ursino, NW Chbat
American Journal of Physiology-Heart and Circulatory Physiology 310 (7 …, 2016
1132016
EEG alpha power is modulated by attentional changes during cognitive tasks and virtual reality immersion
E Magosso, F De Crescenzio, G Ricci, S Piastra, M Ursino
Computational intelligence and neuroscience 2019, 2019
1102019
A neural mass model for the simulation of cortical activity estimated from high resolution EEG during cognitive or motor tasks
M Zavaglia, L Astolfi, F Babiloni, M Ursino
Journal of neuroscience methods 157 (2), 317-329, 2006
1042006
Transfer entropy as a measure of brain connectivity: A critical analysis with the help of neural mass models
M Ursino, G Ricci, E Magosso
Frontiers in computational neuroscience 14, 45, 2020
962020
Neurocomputational approaches to modelling multisensory integration in the brain: a review
M Ursino, C Cuppini, E Magosso
Neural Networks 60, 141-165, 2014
962014
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