Cristiano Capone
Cristiano Capone
Postdoc, ISS, Rome, Italy
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Cited by
Cited by
Biologically realistic mean-field models of conductancebased networks of spiking neurons with adaptation
M di Volo, A Romagnoni, C Capone, A Destexhe
Neural Computation, (2019) 31 (4): 653–680., 2019
Slow waves in cortical slices: how spontaneous activity is shaped by laminar structure
C Capone, B Rebollo, A Mu˝oz, X Illa, P Del Giudice, MV Sanchez-Vives, ...
Cerebral cortex 29 (1), 319-335, 2019
A mean-field approach to the dynamics of networks of complex neurons, from nonlinear Integrate-and-Fire to Hodgkin–Huxley models
M Carlu, O Chehab, L Dalla Porta, D Depannemaecker, C HÚricÚ, ...
Journal of neurophysiology 123 (3), 1042-1051, 2020
Sleep-like slow oscillations improve visual classification through synaptic homeostasis and memory association in a thalamo-cortical model
C Capone, E Pastorelli, B Golosio, PS Paolucci
Scientific Reports 9 (1), 8990, 2019
Cholinergic switch between two types of slow waves in cerebral cortex
TAE Nghiem, N Tort-Colet, T Gˇrski, U Ferrari, S Moghimyfiroozabad, ...
Cerebral Cortex 30 (6), 3451-3466, 2020
Attractor competition enriches cortical dynamics during awakening from anesthesia
N Tort-Colet, C Capone, MV Sanchez-Vives, M Mattia
Cell Reports 35 (12), 2021
Inferring Synaptic Structure in Presence of Neural Interaction Time Scales
P Capone, Cristiano Filosa, Carla Gigante, Guido Ricci-Tersenghi, Federico ...
PLoS ONE 10 (3), e0118412, 2015
Thalamo-cortical spiking model of incremental learning combining perception, context and NREM-sleep
B Golosio, C De Luca, C Capone, E Pastorelli, G Stegel, G Tiddia, ...
PLoS Computational Biology 17 (6), e1009045, 2021
State-dependent mean-field formalism to model different activity states in conductance-based networks of spiking neurons
C Capone, M Di Volo, A Romagnoni, M Mattia, A Destexhe
Physical Review E 100 (6), 062413, 2019
Target spike patterns enable efficient and biologically plausible learning for complex temporal tasks
P Muratore, C Capone, PS Paolucci
Plos one 16 (2), e0247014, 2021
Speed hysteresis and noise shaping of traveling fronts in neural fields: role of local circuitry and nonlocal connectivity
C Capone, M Mattia
Scientific reports 7 (1), 39611, 2017
Spontaneous activity emerging from an inferred network model captures complex spatio-temporal dynamics of spike data
C Capone, G Gigante, P Del Giudice
Scientific reports 8 (1), 17056, 2018
Scaling of a large-scale simulation of synchronous slow-wave and asynchronous awake-like activity of a cortical model with long-range interconnections
E Pastorelli, C Capone, F Simula, MV Sanchez-Vives, P Del Giudice, ...
Frontiers in Systems Neuroscience 13, 33, 2019
Error-based or target-based? A unified framework for learning in recurrent spiking networks
C Capone, P Muratore, PS Paolucci
PLOS Computational Biology 18 (6), e1010221, 2022
Beyond spiking networks: The computational advantages of dendritic amplification and input segregation
C Capone, C Lupo, P Muratore, PS Paolucci
Proceedings of the National Academy of Sciences 120 (49), e2220743120, 2023
Attractor competition enriches cortical dynamics during awakening from anesthesia. bioRxiv. 2019
N Tort-Colet, C Capone, MV Sanchez-Vives, M Mattia
URL https://www. biorxiv. org/content/early/2019/01/10/517102, 0
Simulations approaching data: cortical slow waves in inferred models of the whole hemisphere of mouse
C Capone, C De Luca, G De Bonis, R Gutzen, I Bernava, E Pastorelli, ...
Communications biology 6 (1), 266, 2023
Towards biologically plausible Dreaming and Planning
C Capone, PS Paolucci
Burst-dependent plasticity and dendritic amplification support target-based learning and hierarchical imitation learning
C Capone, C Lupo, P Muratore, PS Paolucci
International Conference on Machine Learning, 2625-2637, 2022
Real-time cortical simulations: energy and interconnect scaling on distributed systems
F Simula, E Pastorelli, PS Paolucci, M Martinelli, A Lonardo, A Biagioni, ...
2019 27th Euromicro International Conference on Parallel, Distributed andá…, 2019
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