MAURIZIO MATTIA

Maurizio Mattia (male) is a physicist holding a Senior Researcher position at the National Centre for Radiation Protection and Computational Physics of the Istituto Superiore di Sanità (Italian Institute of Health, Rome). His main interest is in bridging the gap between theory and experimental evidence on cortical network dynamics, by developing theoretical and computational approaches, and theory-inspired data analyses.
He has published 50+ papers in journals such as Neuron, Cell Reports, Physical Review Letters and Cerebral Cortex. His google h-index is 28 and he has supervised more than 20 Master and PhD thesis. He served in the editorial board of PLoS Computational Biology, Neural Computation and Frontiers in Computational Neuroscience. His independent research has been supported by national and international funding agencies, and since April 2016, he is core member of the FET flagship “The Human Brain Project”.

Relevant publications on refereed international journals:
1. Vinci G V, Benzi R, Mattia M. (2023).
Self-consistent stochastic dynamics for finite-size networks of spiking neurons.
Phys. Rev. Lett. 130:097402. DOI:10.1103/PhysRevLett.130.097402
2. Pani P., Giamundo M., Giarrocco F., Mione V., Fontana R., Brunamonti E., Mattia M.*, Ferraina S.* (2022).
Neuronal population dynamics during motor plan cancellation in nonhuman primates.
Proc. Natl. Acad. Sci. USA 119: 774307. DOI: 10.1073/pnas.2122395119
3. Tort-Colet N., Capone C., Sanchez-Vives M.V.*, Mattia M.* (2021).
Attractor competition enriches cortical dynamics during awakening from anesthesia.
Cell Rep., 35: 109270. DOI: 10.1016/j.celrep.2021.109270
4. Cao R., Pastukhov A., Aleshin S., Mattia M.*, Braun J.* (2021).
Binocular rivalry reveals an out-of-equilibrium neural dynamics suited for decision-making.
eLife 10: e61581. DOI: 10.7554/eLife.61581
5. Mattia M, Biggio M, Galluzzi A, Storace M. (2019).
Dimensional reduction in networks of non-Markovian spiking neurons: equivalence of synaptic filtering and heterogeneous propagation delays.
PLoS Comput. Biol., 15(10): e1007404. DOI: 10.1371/journal.pcbi.1007404
6. Marcos E, Tsujimoto S, Mattia M*, Genovesio A* (2019).
A network activity reconfiguration underlies the transition from goal to action.
Cell Rep., 27(10): 2909-20. DOI: 10.1016/j.celrep.2019.05.021
7. Capone C, Rebollo B, Muñoz A, Illa X, Del Giudice P, Sanchez-Vives MV, Mattia M. (2019).
Slow waves in cortical slices: how spontaneous activity is shaped by laminar structure.
Cereb. Cortex, 29(1): 319-35. DOI:10.1103/PhysRevE.100.062413
8. Sanchez-Vives MV, Massimini M, Mattia M. (2017).
Shaping the default activity pattern of the cortical network.
Neuron, 94: 993-1001. DOI: 10.1016/j.neuron.2017.05.015
9. Cao R, Braun J, Mattia M. (2014).
Stochastic accumulation by cortical columns may explain the scalar property of multistable perception.
Phys. Rev. Lett., 113(9): 098103(5). DOI: 10.1103/PhysRevLett.113.098103
10. Mattia M, Pani P, Mirabella G, Costa S, Del Giudice P, Ferraina S. (2013).
Heterogeneous attractor cell assemblies for motor planning in premotor cortex.
J. Neurosci., 33(27): 11155-68. DOI: 10.1523/JNEUROSCI.4664-12.2013
11. Braun J, Mattia M. (2010).
Attractors and noise: twin drivers of decisions and multistability.
Neuroimage, 52(3): 740-751. DOI: 10.1016/j.neuroimage.2009.12.126
12. Gigante G, Mattia M, Del Giudice P. (2007).
Diverse population-bursting modes of adapting spiking neurons.
Phys. Rev. Lett., 98(14): 148101(4). DOI: 10.1103/PhysRevLett.98.148101
13. Mattia M, Del Giudice P. (2002).
Population dynamics of interacting spiking neurons.
Phys. Rev. E, 66(5 (Pt.1)): 051917. DOI: 10.1103/PhysRevE.66.051917
14. Mattia M, Del Giudice P. (2000).
Efficient event-driven simulation of large networks of spiking neurons and dynamical synapses.
Neural Comput., 12(10): 2305-29. DOI: 10.1162/089976600300014953
15. Fusi S, Mattia M. (1999).
Collective behavior of networks with linear (VLSI) integrate-and-fire neurons.
Neural Comput., 11(3): 633-52. DOI: 10.1162/089976699300016601

* Co-senior authors.