Roberta Sirovich
Affiliations: | Università degli Studi di Torino, Torino, Piemonte, Italy |
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Sirovich R, Testa L. (2019) On the first positive and negative excursion exceeding a given length Statistics & Probability Letters. 150: 137-145 |
Mozgunov P, Beccuti M, Horvath A, et al. (2018) A review of the deterministic and diffusion approximations for stochastic chemical reaction networks Reaction Kinetics, Mechanisms and Catalysis. 123: 289-312 |
Ballarini P, Beccuti M, Bibbona E, et al. (2017) Analysis of Timed Properties Using the Jump-Diffusion Approximation Lecture Notes in Computer Science. 10497: 69-84 |
Sirovich R, Testa L. (2016) A new firing paradigm for integrate and fire stochastic neuronal models. Mathematical Biosciences and Engineering : Mbe. 13: 597-611 |
Angius A, Balbo G, Beccuti M, et al. (2015) Approximate analysis of biological systems by hybrid switching jump diffusion Theoretical Computer Science. 587: 49-72 |
Sirovich R, Sacerdote L, Villa AE. (2014) Cooperative behavior in a jump diffusion model for a simple network of spiking neurons. Mathematical Biosciences and Engineering : Mbe. 11: 385-401 |
Bibbona E, Lansky P, Sirovich R. (2010) Estimating input parameters from intracellular recordings in the Feller neuronal model. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 81: 031916 |
Sacerdote L, Sirovich R. (2010) A copulas approach to neuronal networks models. Journal of Physiology, Paris. 104: 223-30 |
Bibbona E, Lansky P, Sacerdote L, et al. (2008) Errors in estimation of the input signal for integrate-and-fire neuronal models. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 78: 011918 |
Giraudo MT, Sacerdote L, Sirovich R. (2002) Effects of random jumps on a very simple neuronal diffusion model. Bio Systems. 67: 75-83 |