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Vito Paolo Pastore

Showing results (1-10 of 17) with videos related to

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Scientific Reports|July 13, 2022
A semi-automatic toolbox for markerless effective semantic feature extractionVito Paolo Pastore, Matteo Moro, Francesca Odone
Neuroinformatics|October 9, 2017
SPICODYN: A Toolbox for the Analysis of Neuronal Network Dynamics and Connectivity from Multi-Site Spike Signal RecordingsVito Paolo Pastore, Aleksandar Godjoski, Sergio Martinoia, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
A new connectivity toolbox to infer topological features of in-vitro neural networksVito Paolo Pastore, Daniele Poli, Sergio Martinoia, et al.
Journal of Neural Engineering|February 26, 2016
From functional to structural connectivity using partial correlation in neuronal assembliesDaniele Poli, Vito Paolo Pastore, Sergio Martinoia, et al.
Plos Computational Biology|August 28, 2018
Identification of excitatory-inhibitory links and network topology in large-scale neuronal assemblies from multi-electrode recordingsVito Paolo Pastore, Paolo Massobrio, Aleksandar Godjoski, et al.
Frontiers in Neuroinformatics|April 12, 2016
ToolConnect: A Functional Connectivity Toolbox for In vitro NetworksVito Paolo Pastore, Daniele Poli, Aleksandar Godjoski, et al.
Journal of Neural Engineering|September 7, 2023
Deepening the role of excitation/inhibition balance in human iPSCs-derived neuronal networks coupled to MEAs during long-term developmentGiulia Parodi, Martina Brofiga, Vito Paolo Pastore, et al.
Scientific Reports|June 27, 2023
In-domain versus out-of-domain transfer learning in plankton image classificationAndrea Maracani, Vito Paolo Pastore, Lorenzo Natale, et al.
The British Journal of Dermatology|April 6, 2024
A deep learning approach to direct immunofluorescence pattern recognition in autoimmune bullous diseasesNiccolò Capurro, Vito Paolo Pastore, Larbi Touijer, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
An efficient deep learning approach to identify dynamics in in vitro neural networksVito Paolo Pastore, Giulia Parodi, Martina Brofiga, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Scientific Reports|July 13, 2022
A semi-automatic toolbox for markerless effective semantic feature extractionVito Paolo Pastore, Matteo Moro, Francesca Odone
Neuroinformatics|October 9, 2017
SPICODYN: A Toolbox for the Analysis of Neuronal Network Dynamics and Connectivity from Multi-Site Spike Signal RecordingsVito Paolo Pastore, Aleksandar Godjoski, Sergio Martinoia, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
A new connectivity toolbox to infer topological features of in-vitro neural networksVito Paolo Pastore, Daniele Poli, Sergio Martinoia, et al.
Journal of Neural Engineering|February 26, 2016
From functional to structural connectivity using partial correlation in neuronal assembliesDaniele Poli, Vito Paolo Pastore, Sergio Martinoia, et al.
Plos Computational Biology|August 28, 2018
Identification of excitatory-inhibitory links and network topology in large-scale neuronal assemblies from multi-electrode recordingsVito Paolo Pastore, Paolo Massobrio, Aleksandar Godjoski, et al.
Frontiers in Neuroinformatics|April 12, 2016
ToolConnect: A Functional Connectivity Toolbox for In vitro NetworksVito Paolo Pastore, Daniele Poli, Aleksandar Godjoski, et al.
Journal of Neural Engineering|September 7, 2023
Deepening the role of excitation/inhibition balance in human iPSCs-derived neuronal networks coupled to MEAs during long-term developmentGiulia Parodi, Martina Brofiga, Vito Paolo Pastore, et al.
Scientific Reports|June 27, 2023
In-domain versus out-of-domain transfer learning in plankton image classificationAndrea Maracani, Vito Paolo Pastore, Lorenzo Natale, et al.
The British Journal of Dermatology|April 6, 2024
A deep learning approach to direct immunofluorescence pattern recognition in autoimmune bullous diseasesNiccolò Capurro, Vito Paolo Pastore, Larbi Touijer, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
An efficient deep learning approach to identify dynamics in in vitro neural networksVito Paolo Pastore, Giulia Parodi, Martina Brofiga, et al.
Pageof 2