BARBAN, FEDERICO
BARBAN, FEDERICO
100023 - Dipartimento di Informatica, bioingegneria, robotica e ingegneria dei sistemi
A pipeline integrating high-density EEG analysis and graph theory: A feasibility study on resting state functional connectivity
2019-01-01 Iandolo, R.; Samogin, J.; Barban, F.; Buccelli, S.; Taberna, G.; Semprini, M.; Mantini, D.; Chiappalone, M.
Design of an experimental setup for delivering intracortical microstimulation in vivo via Spiking Neural Network
2023-01-01 Di Florio, M.; Carè, M.; Beaubois, R.; Cota, V. R.; Barban, F.; Levi, T.; Chiappalone, M.
LFP based analysis of brain injured anesthetized animals undergoing closed-loop intracortical stimulation
2021-01-01 Barban, Federico; Averna, Alberto; Murphy, Maxwell D.; Care, Marta; Nudo, Randolph J.; Guggenmos, David J.; Chiappalone, Michela
Recapitulating the electrophysiological features of in vivo biological networks by using a real-time hardware Spiking Neural Network
2024-01-01 De Venuto, G.; Beaubois, R.; Zahedi, S.; Care, M.; Cheslet, J.; Barban, F.; Di Florio, M.; Chiappalone, M.; Levi, T.
Removal of tACS artefact: A simulation study for algorithm comparison
2019-01-01 Barban, F.; Buccelli, S.; Mantini, D.; Chiappalone, M.; Semprini, M.
Spike-based analysis of brain injured anesthetized animals undergoing closed-loop intracortical stimulation
2021-01-01 Care, M.; Averna, A.; Barban, F.; Murphy, M. D.; Nudo, R. J.; Guggenmos, D. J.; Chiappalone, M.
Towards personalized electroceutical therapy: electrophysiological investigations in a preclinical model of ischemic lesion
2023-01-01 Care, M.; Barban, F.; Di Florio, M.; Greco, R.; Tassorelli, C.; Chiappalone, M.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A pipeline integrating high-density EEG analysis and graph theory: A feasibility study on resting state functional connectivity | 1-gen-2019 | Iandolo, R.; Samogin, J.; Barban, F.; Buccelli, S.; Taberna, G.; Semprini, M.; Mantini, D.; Chiappalone, M. | |
| Design of an experimental setup for delivering intracortical microstimulation in vivo via Spiking Neural Network | 1-gen-2023 | Di Florio, M.; Carè, M.; Beaubois, R.; Cota, V. R.; Barban, F.; Levi, T.; Chiappalone, M. | |
| LFP based analysis of brain injured anesthetized animals undergoing closed-loop intracortical stimulation | 1-gen-2021 | Barban, Federico; Averna, Alberto; Murphy, Maxwell D.; Care, Marta; Nudo, Randolph J.; Guggenmos, David J.; Chiappalone, Michela | |
| Recapitulating the electrophysiological features of in vivo biological networks by using a real-time hardware Spiking Neural Network | 1-gen-2024 | De Venuto, G.; Beaubois, R.; Zahedi, S.; Care, M.; Cheslet, J.; Barban, F.; Di Florio, M.; Chiappalone, M.; Levi, T. | |
| Removal of tACS artefact: A simulation study for algorithm comparison | 1-gen-2019 | Barban, F.; Buccelli, S.; Mantini, D.; Chiappalone, M.; Semprini, M. | |
| Spike-based analysis of brain injured anesthetized animals undergoing closed-loop intracortical stimulation | 1-gen-2021 | Care, M.; Averna, A.; Barban, F.; Murphy, M. D.; Nudo, R. J.; Guggenmos, D. J.; Chiappalone, M. | |
| Towards personalized electroceutical therapy: electrophysiological investigations in a preclinical model of ischemic lesion | 1-gen-2023 | Care, M.; Barban, F.; Di Florio, M.; Greco, R.; Tassorelli, C.; Chiappalone, M. |