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Camillo Porcaro

Showing results (1-10 of 91) with videos related to

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Progress in Biomedical Engineering (Bristol, England)|April 15, 2026
Quantifying Fractal and Oscillatory Components in Neural Signals for Biomarker DevelopmentCamillo Porcaro, Alessandra Bertoldo
Sensors (Basel, Switzerland)|July 27, 2024
Detection of Lowering in Sport Climbing Using Orientation-Based Sensor-Enhanced Quickdraws: A Preliminary InvestigationSadaf Moaveninejad, Andrea Janes, Camillo Porcaro
IEEE Transactions on Bio-Medical Engineering|June 28, 2005
Fetal magnetocardiographic signals extracted by 'signal subspace' blind source separationCarlo Salustri, Giulia Barbati, Camillo Porcaro
Neuroimage|December 17, 2009
Functional source separation improves the quality of single trial visual evoked potentials recorded during concurrent EEG-fMRICamillo Porcaro, Dirk Ostwald, Andrew P Bagshaw
Neuroimage|December 3, 2014
Removing speech artifacts from electroencephalographic recordings during overt picture namingCamillo Porcaro, Maria Teresa Medaglia, Andrea Krott
Neuroimage|December 21, 2010
Voxel-wise information theoretic EEG-fMRI feature integrationDirk Ostwald, Camillo Porcaro, Andrew P Bagshaw
Neuroimage|July 28, 2009
An information theoretic approach to EEG-fMRI integration of visually evoked responsesDirk Ostwald, Camillo Porcaro, Andrew P Bagshaw
Frontiers in Psychology|April 16, 2019
Early and Late Effects of Semantic Distractors on Electroencephalographic Responses During Overt Picture NamingAndrea Krott, Maria Teresa Medaglia, Camillo Porcaro
Frontiers in Neuroscience|October 23, 2019
Hemodynamic Correlates of Electrophysiological Activity in the Default Mode NetworkMarco Marino, Giorgio Arcara, Camillo Porcaro, et al.
The Journal of Physiology|March 3, 2007
Functional source separation and hand cortical representation for a brain-computer interface feature extractionFranca Tecchio, Camillo Porcaro, Giulia Barbati, et al.
Pageof 10

Showing results (1-10 of 91) with videos related to

Sort By:
Pageof 10
Progress in Biomedical Engineering (Bristol, England)|April 15, 2026
Quantifying Fractal and Oscillatory Components in Neural Signals for Biomarker DevelopmentCamillo Porcaro, Alessandra Bertoldo
Sensors (Basel, Switzerland)|July 27, 2024
Detection of Lowering in Sport Climbing Using Orientation-Based Sensor-Enhanced Quickdraws: A Preliminary InvestigationSadaf Moaveninejad, Andrea Janes, Camillo Porcaro
IEEE Transactions on Bio-Medical Engineering|June 28, 2005
Fetal magnetocardiographic signals extracted by 'signal subspace' blind source separationCarlo Salustri, Giulia Barbati, Camillo Porcaro
Neuroimage|December 17, 2009
Functional source separation improves the quality of single trial visual evoked potentials recorded during concurrent EEG-fMRICamillo Porcaro, Dirk Ostwald, Andrew P Bagshaw
Neuroimage|December 3, 2014
Removing speech artifacts from electroencephalographic recordings during overt picture namingCamillo Porcaro, Maria Teresa Medaglia, Andrea Krott
Neuroimage|December 21, 2010
Voxel-wise information theoretic EEG-fMRI feature integrationDirk Ostwald, Camillo Porcaro, Andrew P Bagshaw
Neuroimage|July 28, 2009
An information theoretic approach to EEG-fMRI integration of visually evoked responsesDirk Ostwald, Camillo Porcaro, Andrew P Bagshaw
Frontiers in Psychology|April 16, 2019
Early and Late Effects of Semantic Distractors on Electroencephalographic Responses During Overt Picture NamingAndrea Krott, Maria Teresa Medaglia, Camillo Porcaro
Frontiers in Neuroscience|October 23, 2019
Hemodynamic Correlates of Electrophysiological Activity in the Default Mode NetworkMarco Marino, Giorgio Arcara, Camillo Porcaro, et al.
The Journal of Physiology|March 3, 2007
Functional source separation and hand cortical representation for a brain-computer interface feature extractionFranca Tecchio, Camillo Porcaro, Giulia Barbati, et al.
Pageof 10