DE ARCANGELIS, Lucilla
DE ARCANGELIS, Lucilla
Dipartimento di Matematica e Fisica (DMF)
Allometric scaling of brain activity explained by avalanche criticality
2026 Simões, Tiago S. A. N.; Andrade, José S.; Herrmann, Hans; Zapperi, Stefano; De Arcangelis, Lucilla
Generalized Wilson–Cowan model with short term synaptic plasticity
2026 Trabocchi, Tommaso; Burioni, Raffaella; De Arcangelis, Lucilla; Fanelli, Duccio
Inhibitory neurons and the asymmetric shape of neuronal avalanches
2025 Zaccariello, Roberto; Herrmann, Hans J.; Sarracino, Alessandro; Zapperi, Stefano; DE ARCANGELIS, Lucilla
Dynamical complexity in microscale disk-wind systems
2024 Fiore, Fabrizio; Gaspari, Massimo; Luminari, Alfredo; Tozzi, Paolo; de Arcangelis, Lucilla
Ising-like model replicating time-averaged spiking behaviour of in vitro neuronal networks
2024 Sampaio Filho, Cesar I. N.; de Arcangelis, Lucilla; Hans J., Herrmann; Plenz, Dietmar; Kells, Patrick; Lins Ribeiro, Tiago; Andrade Jr, José S.
Modeling public opinion control by a charismatic leader
2024 Simões, Tiago S. A. N.; Coniglio, Antonio; Herrmann, Hans J.; de Arcangelis, Lucilla
Positive Answer on the Existence of Correlations between Positive Earthquake Magnitude Differences
2024 Lippiello, Eugenio; de Arcangelis, Lucilla; Godano, Cataldo
Self-organized efficient transmission in dynamic networks
2024 Neta, Pedro D.; Araújo, Nuno A. M.; de Arcangelis, Lucilla; Garofalo, Jacopo Alexander; Sarracino, Alessandro; Lippiello, Eugenio
Thermodynamic analog of integrate‑and‑fire neuronal networks by maximum entropy modelling
2024 Simoes, T. S. A. N.; Sampaio Filho, C. I. N.; Herrmann, H. J.; Andrade Jr, J. S.; de Arcangelis, L.
Beyond pulsed inhibition: Alpha oscillations modulate attenuation and amplification of neural activity in the awake resting-state
2023 Lombardi, F.; Herrmann, H. J.; Parrino, L.; Plenz, D.; Scarpetta, S.; Vaudano, A. E.; de Arcangelis, L.; Shriki, O.
Estimating generation time of Covid variants from the daily incidence rate
2023 Lippiello, Eugenio; Petrillo, Giuseppe; Baccari, Silvio; DE ARCANGELIS, Lucilla
Fluctuation-Dissipation Relations in the imbalanced Wilson-Cowan model
2023 Nandi, M. K.; De Candia, A.; Sarracino, A.; Herrmann, H. J.; de Arcangelis, L.
Estimating the generation interval from the incidence rate, the optimal quarantine duration and the efficiency of fast switching periodic protocols for COVID‑19
2022 Lippiello, E; Petrillo, G.; de Arcangelis, L.
Power spectrum and critical exponents in the 2D stochastic Wilson–Cowan model
2022 Apicella, I.; Scarpetta, S.; de Arcangelis, L.; Sarracino, A.; de Candia, A.
Scaling of avalanche shape and activity power spectrum in neuronal networks
2022 Kumar Nandi, Manoj; Sarracino, Alessandro; Herrmann, Hans J.; DE ARCANGELIS, Lucilla
Critical behaviour of the stochastic Wilson-Cowan model
2021 De Candia, A; Sarracino, A.; Apicella, I.; de Arcangelis, L.
Getting hotter by heating less: How driven granular materials dissipate energy in excess
2021 Plati, A; de Arcangelis, L; Gnoli, A; Lippiello, E; Puglisi, A; Sarracino, A
Long-range Temporal Correlations in the Broadband Resting state Activity of the Human Brain revealed by Neuronal Avalanches
2021 Lombardi, F; Shriki, O; Herrmann, H. J.; de Arcangelis, L
Role of anaxonic local neurons in the crossover to continuously varying exponents for avalanche activity
2021 Rahimi-Majd, M.; Seifi, M. A.; de Arcangelis, L.; Najafi, M. N.
Role of inhibitory neurons in temporal correlations of critical and supercritical spontaneous activity
2021 Raimo, D; Sarracino, A; de Arcangelis, L
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Allometric scaling of brain activity explained by avalanche criticality | 1-gen-2026 | Simões, Tiago S. A. N.; Andrade, José S.; Herrmann, Hans; Zapperi, Stefano; De Arcangelis, Lucilla | |
| Generalized Wilson–Cowan model with short term synaptic plasticity | 1-gen-2026 | Trabocchi, Tommaso; Burioni, Raffaella; De Arcangelis, Lucilla; Fanelli, Duccio | |
| Inhibitory neurons and the asymmetric shape of neuronal avalanches | 1-gen-2025 | Zaccariello, Roberto; Herrmann, Hans J.; Sarracino, Alessandro; Zapperi, Stefano; DE ARCANGELIS, Lucilla | |
| Dynamical complexity in microscale disk-wind systems | 1-gen-2024 | Fiore, Fabrizio; Gaspari, Massimo; Luminari, Alfredo; Tozzi, Paolo; de Arcangelis, Lucilla | |
| Ising-like model replicating time-averaged spiking behaviour of in vitro neuronal networks | 1-gen-2024 | Sampaio Filho, Cesar I. N.; de Arcangelis, Lucilla; Hans J., Herrmann; Plenz, Dietmar; Kells, Patrick; Lins Ribeiro, Tiago; Andrade Jr, José S. | |
| Modeling public opinion control by a charismatic leader | 1-gen-2024 | Simões, Tiago S. A. N.; Coniglio, Antonio; Herrmann, Hans J.; de Arcangelis, Lucilla | |
| Positive Answer on the Existence of Correlations between Positive Earthquake Magnitude Differences | 1-gen-2024 | Lippiello, Eugenio; de Arcangelis, Lucilla; Godano, Cataldo | |
| Self-organized efficient transmission in dynamic networks | 1-gen-2024 | Neta, Pedro D.; Araújo, Nuno A. M.; de Arcangelis, Lucilla; Garofalo, Jacopo Alexander; Sarracino, Alessandro; Lippiello, Eugenio | |
| Thermodynamic analog of integrate‑and‑fire neuronal networks by maximum entropy modelling | 1-gen-2024 | Simoes, T. S. A. N.; Sampaio Filho, C. I. N.; Herrmann, H. J.; Andrade Jr, J. S.; de Arcangelis, L. | |
| Beyond pulsed inhibition: Alpha oscillations modulate attenuation and amplification of neural activity in the awake resting-state | 1-gen-2023 | Lombardi, F.; Herrmann, H. J.; Parrino, L.; Plenz, D.; Scarpetta, S.; Vaudano, A. E.; de Arcangelis, L.; Shriki, O. | |
| Estimating generation time of Covid variants from the daily incidence rate | 1-gen-2023 | Lippiello, Eugenio; Petrillo, Giuseppe; Baccari, Silvio; DE ARCANGELIS, Lucilla | |
| Fluctuation-Dissipation Relations in the imbalanced Wilson-Cowan model | 1-gen-2023 | Nandi, M. K.; De Candia, A.; Sarracino, A.; Herrmann, H. J.; de Arcangelis, L. | |
| Estimating the generation interval from the incidence rate, the optimal quarantine duration and the efficiency of fast switching periodic protocols for COVID‑19 | 1-gen-2022 | Lippiello, E; Petrillo, G.; de Arcangelis, L. | |
| Power spectrum and critical exponents in the 2D stochastic Wilson–Cowan model | 1-gen-2022 | Apicella, I.; Scarpetta, S.; de Arcangelis, L.; Sarracino, A.; de Candia, A. | |
| Scaling of avalanche shape and activity power spectrum in neuronal networks | 1-gen-2022 | Kumar Nandi, Manoj; Sarracino, Alessandro; Herrmann, Hans J.; DE ARCANGELIS, Lucilla | |
| Critical behaviour of the stochastic Wilson-Cowan model | 1-gen-2021 | De Candia, A; Sarracino, A.; Apicella, I.; de Arcangelis, L. | |
| Getting hotter by heating less: How driven granular materials dissipate energy in excess | 1-gen-2021 | Plati, A; de Arcangelis, L; Gnoli, A; Lippiello, E; Puglisi, A; Sarracino, A | |
| Long-range Temporal Correlations in the Broadband Resting state Activity of the Human Brain revealed by Neuronal Avalanches | 1-gen-2021 | Lombardi, F; Shriki, O; Herrmann, H. J.; de Arcangelis, L | |
| Role of anaxonic local neurons in the crossover to continuously varying exponents for avalanche activity | 1-gen-2021 | Rahimi-Majd, M.; Seifi, M. A.; de Arcangelis, L.; Najafi, M. N. | |
| Role of inhibitory neurons in temporal correlations of critical and supercritical spontaneous activity | 1-gen-2021 | Raimo, D; Sarracino, A; de Arcangelis, L |