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Mauro Ursino
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- affiliation: University of Bologna, Italy
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2020 – today
- 2024
- [j46]Davide Borra
, Matteo Filippini
Convolutional neural networks reveal properties of reach-to-grasp encoding in posterior parietal cortex. Comput. Biol. Medicine 172: 108188 (2024) - [j45]Mauro Ursino
Construction of a Hierarchical Organization in Semantic Memory: A Model Based on Neural Masses and Gamma-Band Synchronization. Cogn. Comput. 16(1): 326-347 (2024) - 2022
- [j44]Florence Véronneau-Veilleux, Philippe Robaey, Mauro Ursino, Fahima Nekka:
A mechanistic model of ADHD as resulting from dopamine phasic/tonic imbalance during reinforcement learning. Frontiers Comput. Neurosci. 16 (2022) - [j43]Matteo Filippini
Decoding sensorimotor information from superior parietal lobule of macaque via Convolutional Neural Networks. Neural Networks 151: 276-294 (2022) - [c21]Davide Borra
A Bayesian-Optimized Convolutional Neural Network to Decode Reach-to-Grasp from Macaque Dorsomedial Visual Stream. LOD (2) 2022: 473-487 - 2020
- [j42]Mauro Ursino, Giulia Ricci
Transfer Entropy as a Measure of Brain Connectivity: A Critical Analysis With the Help of Neural Mass Models. Frontiers Comput. Neurosci. 14: 45 (2020)
2010 – 2019
- 2019
- [j41]Elisa Magosso
EEG Alpha Power Is Modulated by Attentional Changes during Cognitive Tasks and Virtual Reality Immersion. Comput. Intell. Neurosci. 2019: 7051079:1-7051079:18 (2019) - 2017
- [j40]Anna Lisa Mangia, Mauro Ursino
Transcallosal Inhibition during Motor Imagery: Analysis of a Neural Mass Model. Frontiers Comput. Neurosci. 11: 57 (2017) - [j39]Mauro Ursino
Development of a Bayesian Estimator for Audio-Visual Integration: A Neurocomputational Study. Frontiers Comput. Neurosci. 11: 89 (2017) - [j38]Mauro Ursino
Multisensory Bayesian Inference Depends on Synapse Maturation during Training: Theoretical Analysis and Neural Modeling Implementation. Neural Comput. 29(3): 735-782 (2017) - 2016
- [c20]Chiara Baston, Mauro Ursino
A neurocomputational model of dopamine dependent finger tapping task. RTSI 2016: 1-4 - [c19]Giacomo Gadda, Angelo Taibi, Francesco Sisini, Mauro Gambaccini, Paolo Zamboni, Mauro Ursino
Modeling of intracranial hemodynamics and cerebral venous outflow: Pressures and flows behavior under arterial pulse simulation. RTSI 2016: 1-5 - [c18]Mauro Ursino
Sensory fusion: A neurocomputational approach. RTSI 2016: 1-6 - 2015
- [j37]Chiara Baston, Mauro Ursino
A Biologically Inspired Computational Model of Basal Ganglia in Action Selection. Comput. Intell. Neurosci. 2015: 187417:1-187417:24 (2015) - [j36]Filippo Cona, Mauro Ursino
A neural mass model of place cell activity: theta phase precession, replay and imagination of never experienced paths. J. Comput. Neurosci. 38(1): 105-127 (2015) - [j35]Mauro Ursino
A neural network for learning the meaning of objects and words from a featural representation. Neural Networks 63: 234-253 (2015) - [c17]Cristiano Cuppini, Mauro Ursino, Elisa Magosso, Lars A. Ross, John J. Foxe, Sophie Molholm:
Hebbian Learning Mechanisms Help Explain the Maturation of Multisensory Speech Integration in Children with Autism Spectrum Disorder (ASD) and with Typical Development (TD): a Neurocomputational Analysis. EAPCogSci 2015 - [c16]Elisa Magosso, Veronica Forcelli, Sara Garofalo
Event-related brain potential signaling unexpected timing of feedback: A source localization analysis. EMBC 2015: 618-621 - [c15]Chiara Baston, Mauro Ursino
A computational model of Dopamine and Acetylcholine aberrant learning in Basal Ganglia. EMBC 2015: 6505-6508 - [c14]Antonio Albanese, Limei Cheng, Mauro Ursino
Cardiorespiratory adaptation to breath-holding in air: Analysis via a cardiopulmonary simulation model. EMBC 2015: 7788-7791 - [c13]Giacomo Gadda, Angelo Taibi, Francesco Sisini, Mauro Gambaccini, Sean K. Sethi, David Utriainen, E. Mark Haacke, Paolo Zamboni, Mauro Ursino
A simulation model to study the role of the extracranial venous drainage pathways in intracranial hemodynamics. EMBC 2015: 7800-7803 - 2014
- [j34]Filippo Cona, M. Lacanna, Mauro Ursino
A thalamo-cortical neural mass model for the simulation of brain rhythms during sleep. J. Comput. Neurosci. 37(1): 125-148 (2014) - [j33]Cristiano Cuppini
A neurocomputational analysis of the sound-induced flash illusion. NeuroImage 92: 248-266 (2014) - [j32]Mauro Ursino
Neurocomputational approaches to modelling multisensory integration in the brain: A review. Neural Networks 60: 141-165 (2014) - 2013
- [j31]Filippo Cona
A Multi-Layer Neural-Mass Model for Learning Sequences using Theta/Gamma oscillations. Int. J. Neural Syst. 23(3) (2013) - [c12]Elisa Magosso, Filippo Cona, Cristiano Cuppini, Mauro Ursino:
Does Ventriloquism Aftereffect Transfer across Sound Frequencies? - A Theoretical Analysis via a Neural Network Model. IJCCI 2013: 360-369 - 2012
- [j30]Cristiano Cuppini
Hebbian mechanisms help explain development of multisensory integration in the superior colliculus: a neural network model. Biol. Cybern. 106(11-12): 691-713 (2012) - [j29]Filippo Cona
Binding and Segmentation via a Neural Mass Model Trained with Hebbian and Anti-Hebbian Mechanisms. Int. J. Neural Syst. 22(2) (2012) - [j28]Melissa Zavaglia, Ryan T. Canolty, Thomas M. Schofield, Alexander P. Leff
A dynamical pattern recognition model of gamma activity in auditory cortex. Neural Networks 28: 1-14 (2012) - [c11]Filippo Cona, Mauro Ursino:
Recovery of Sequential and Non Sequential Memories with a Neural Mass Model. IJCCI 2012: 547-551 - [c10]Cristiano Cuppini, Elisa Magosso, Mauro Ursino:
A Neural Network Model of Cortical Auditory-visual Interactions - A Neurocomputational Analysis of the Shams-Illusion. IJCCI 2012: 639-642 - 2011
- [j27]Filippo Cona, Melissa Zavaglia, Marcello Massimini
A neural mass model of interconnected regions simulates rhythm propagation observed via TMS-EEG. NeuroImage 57(3): 1045-1058 (2011) - [c9]Antonio Albanese, Nicolas W. Chbat, Mauro Ursino
Transient respiratory response to hypercapnia: Analysis via a cardiopulmonary simulation model. EMBC 2011: 2395-2398 - 2010
- [j26]Elisa Magosso
Crossmodal Links between Vision and Touch in Spatial Attention: A Computational Modelling Study. Comput. Intell. Neurosci. 2010: 304941:1-304941:13 (2010) - [j25]Mauro Ursino
A Semantic Model to Study Neural Organization of Language in Bilingualism. Comput. Intell. Neurosci. 2010: 350269:1-350269:10 (2010) - [j24]Melissa Zavaglia
A Neural Mass Model to Simulate Different Rhythms in a Cortical Region. Comput. Intell. Neurosci. 2010: 456140:1-456140:8 (2010) - [j23]Elisa Magosso
Visuotactile Representation of Peripersonal Space: A Neural Network Study. Neural Comput. 22(1): 190-243 (2010) - [j22]Mauro Ursino
The generation of rhythms within a cortical region: Analysis of a neural mass model. NeuroImage 52(3): 1080-1094 (2010) - [c8]Filippo Cona, Melissa Zavaglia, Mauro Ursino, Mario Rosanova:
Cortical Rhythms Induced by TMS Stimulation - Analysis with a Neural Mass Model. IJCCI (ICFC-ICNC) 2010: 205-211 - [c7]Filippo Cona, Melissa Zavaglia, Marcello Massimini
Computational Study of Rhythm Propagation Induced by TMS Stimuli in Different Brain Regions. IJCCI (Selected Papers) 2010: 389-403
2000 – 2009
- 2009
- [j21]Elisa Magosso
A wavelet-based energetic approach for the analysis of biomedical signals: Application to the electroencephalogram and electro-oculogram. Appl. Math. Comput. 207(1): 42-62 (2009) - [j20]Cristiano Cuppini
A neural network model of semantic memory linking feature-based object representation and words. Biosyst. 96(3): 195-205 (2009) - [j19]Filippo Cona
Changes in EEG Power Spectral Density and Cortical Connectivity in Healthy and Tetraplegic Patients during a Motor Imagery Task. Comput. Intell. Neurosci. 2009: 279515:1-279515:12 (2009) - [j18]Mauro Ursino
Multisensory integration in the superior colliculus: a neural network model. J. Comput. Neurosci. 26(1): 55-73 (2009) - [j17]Mauro Ursino
Recognition of Abstract Objects Via Neural Oscillators: Interaction Among Topological Organization, Associative Memory and Gamma Band Synchronization. IEEE Trans. Neural Networks 20(2): 316-335 (2009) - 2008
- [j16]Giuseppe Emiliano La Cara, Mauro Ursino
A model of contour extraction including multiple scales, flexible inhibition and attention. Neural Networks 21(5): 759-773 (2008) - [j15]Elisa Magosso
A theoretical study of multisensory integration in the superior colliculus by a neural network model. Neural Networks 21(6): 817-829 (2008) - [j14]Melissa Zavaglia, Laura Astolfi
The Effect of Connectivity on EEG Rhythms, Power Spectral Density and Coherence Among Coupled Neural Populations: Analysis With a Neural Mass Model. IEEE Trans. Biomed. Eng. 55(1): 69-77 (2008) - [j13]Laura Astolfi
Tracking the Time-Varying Cortical Connectivity Patterns by Adaptive Multivariate Estimators. IEEE Trans. Biomed. Eng. 55(3): 902-913 (2008) - [c6]Elisa Magosso
A neural network model of peri-hand space representation and its plastic properties related to tool use. BIBE 2008: 1-6 - 2007
- [j12]Mauro Ursino
Use of a neural mass model for the analysis of effective connectivity among cortical regions based on high resolution EEG recordings. Biol. Cybern. 96(3): 351-365 (2007) - [j11]Mauro Ursino
Direction selectivity of simple cells in the primary visual cortex: Comparison of two alternative mathematical models. I: Response to drifting gratings. Comput. Biol. Medicine 37(3): 398-414 (2007) - [j10]Giuseppe Emiliano La Cara, Mauro 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. Comput. Biol. Medicine 37(5): 598-610 (2007) - [c5]Cristiano Cuppini
A Neural Network for the Analysis of Multisensory Integration in the Superior Colliculus. ICANN (2) 2007: 9-18 - 2006
- [j9]Laura Astolfi
Assessing cortical functional connectivity by partial directed coherence: simulations and application to real data. IEEE Trans. Biomed. Eng. 53(9): 1802-1812 (2006) - [c4]Mauro Ursino
Short-term autonomic control of the cardio-respiratory system: a summary with the help of a comprehensive mathematical model. EMBC 2006: 354-358 - [c3]Melissa Zavaglia, Laura Astolfi
Assessment of Effective Connectivity among Cortical Regions based on a Neural Mass Model. EMBC 2006: 590-594 - [c2]Laura Astolfi
Cortical Connectivity Patterns During Imagination Of Limb Movements In Normal Subjects And In A Spinal Cord Injured Patient. EMBC 2006: 996-999 - [c1]Elisa Magosso
Object segmentation and reconstruction via an oscillatory neural network: interaction among learning, memory, topological organization and γ-band synchronization. EMBC 2006: 4953-4956 - 2005
- [j8]Mauro Ursino
Dependence of Visual Cell Properties on Intracortical Synapses Among Hypercolumns: Analysis by a Computer Model. J. Comput. Neurosci. 19(3): 291-310 (2005) - 2004
- [j7]Mauro Ursino
A model of contextual interactions and contour detection in primary visual cortex. Neural Networks 17(5-6): 719-735 (2004) - [j6]Elisa Magosso
Opioid-induced respiratory depression: a mathematical model for fentanyl. IEEE Trans. Biomed. Eng. 51(7): 1115-1128 (2004) - 2003
- [j5]Mauro Ursino, Giuseppe Emiliano La Cara, Alessandro Sarti:
Binding and segmentation of multiple objects through neural oscillators inhibited by contour information. Biol. Cybern. 89(1): 56-70 (2003)
1990 – 1999
- 1999
- [j4]Mauro Ursino
A mathematical model of the carotid baroregulation in pulsating conditions. IEEE Trans. Biomed. Eng. 46(4): 382-392 (1999) - 1996
- [j3]Mauro Ursino
The role of pressure pulsatility in the carotid baroreflex control: A computer simulation study. Comput. Biol. Medicine 26(4): 297-314 (1996) - 1994
- [j2]Mauro Ursino
Integration of quantitative and qualitative reasoning: an expert system for cardiosurgical patients. Artif. Intell. Medicine 6(3): 229-247 (1994) - 1992
- [j1]Mauro Ursino
Qualitative simulation of dynamic physiological models using the KEE environment. Artif. Intell. Medicine 4(1): 53-73 (1992)
Coauthor Index
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last updated on 2024-10-07 22:07 CEST by the dblp team
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