1. D. Bonino, M.Gai and L. Sacerdote (2010) Statistical techniquesfor interferometric signal analysis. Mem. S.A. It. 75, 283 To appear.
  2. Giraudo MT, Greenwood P and Sacerdote L (2010) How sample paths of Leaky Integrate and Fire models are influences by the presence of a firing threshold Neural Computation. To appear
  3. L. Sacerdote and R. Sirovich (2010) A copulas approach to neuronal networks models. Journal of Physiology- Paris Volume 104, Issues 3-4, Pages 223-230
  4. L. Sacerdote and M. Tamborrino (2010) Leaky Integrate and Fire models coupled through copulas: association properties of the Interspikes Intervals. Chinese Journal of Physiology. In press
  5. C. Zucca, L. Sacerdote (2009) On the Inverse First-Passage-Time Problem for a Wiener Process Annals of Applied Probability, 19, 4, 1319-1346
  6. M.T. Giraudo, R. Mininni and L. Sacerdote (2009) On the Asymptotic Bahaviour of the Parameter Estimators for Some Diffusion Processes. Application to Neuronal Models. Ricerche di Matematica.
    DOI 10.1007/s11587-009-0050-4. Online ISSN 0035-5038 Journal Volume Volume 58, Number 1
  7. E. Bibbona, P. Lansky, L. Sacerdote and R. Sirovich (2008) Errors in estimation of the input signal for integrate and fire neuronal models. PHYSICAL REVIEW E  78, 01 011918-1- 011918-10
  8. M.T. Giraudo, L. Sacerdote and R. Sirovich (2008) Information measures in a small network of spiking neurons. Scientiae Mathematicae Japonicae 67 (2) 191-204
  9. Giraudo M.T. Sacerdote L. and Sicco A. (2007) Ghost Stochastic Resonance for a neuron with a couple of periodic inputs Lecture Notes in Computer Science 4729,
  10. P. Lansky, L. Sacerdote, and C. Zucca (2007)Input identification in the Ornstein-Uhlenbeck neuronal model with signal dependent noise Lecture Notes in Computer Science 4729, pp. 368–377,
  11. Sirovich R., Sacerdote L., Villa A.E.P.(2007) Effect of increasing inhibitory inputs on information processing within a small network of spiking neurons , Lecture Notes in Computer Science 4507: 23-30,
  12. P. Lansky, L. Sacerdote, and C. Zucca (2007) Optimum signal in a diffusion leaky integrate-and-fire neuronal model. Math. Biosc.vol. 68, pp. 1257-1264 ISSN: 0092-8240.
  13. M.T. Giraudo and L. Sacerdote (2006) Ghost stochastic resonance for a stochastic single neuron model. Scientiae Mathematicae Japonicae. 64 n.2 299-312 
  14. L. Sacerdote, A.E.P. Villa and C. Zucca (2006) On the classification of experimental data modeled via a stochastic leaky integrate and fire model through boundary values. Bull. Math. Biol. 68(6):1257-74 
  15. A. E.P. Villa, L. Sacerdote and A. Farina (2005) Preface. BioSystems 79, 1-2 
  16. Giraudo, M.T. and Sacerdote, L. (2004) Effect of periodic stimulus on a neuronal diffusion model with signal-dependent noise. BioSystems 79, Issue 1-3, 73-81
  17. Sacerdote, L. and Smith, C.E. (2004) Almost sure comparisons for first passage times of diffusion processes through boundaries. Methodology and Computing in Applied Probabilità 6, Number 3, 323-341 
  18. Lansky, P., Rodriguez, R. and Sacerdote, L. (2004)Mean instantaneous firing frequency is always higher than the firing rate. Neural Computation. Number 16, 477-489 
  19. Sacerdote, L. and Zucca, C. (2003) Threshold shape corresponding to a Gamma firing distribution in an Ornstein-Uhlenbeck neuronal model. Scientiae Mathematicae Japonicae. 58-2, 295-306. 
  20. Sacerdote, L. and Sirovich, R. (2003) Multimodality of the interspike interval distribution in a simple jump-diffusion model Scientiae Mathematicae Japonicae. 58-2, 307-321. 
  21. G. Galleani, L., Sacerdote, L., Tavella, P. and Zucca, C. (2003) A mathematical model for the atomic clock error. Metrologia 40, 257-264
  22. Giraudo, M.T., Sacerdote, L. and Sirovich, R. (2002) Effects of random jumps on a very simple neuronal diffusion model. BioSystems. 67, Issues 1-3 
  23. Lansky, P. and Sacerdote, L. (2002) Interspike interval statistics in the Ornstein-Uhlenbeck neuronal model with signal-dependent noise. BioSystems. 67, Issues 1-3, 213-219 
  24. Lansky, P. and Sacerdote, L. (2001) The Ornstein-Uhlenbeck neuronal model with the signal-dependent noise. Physics Letters A 285, 132-140 
  25. Giraudo, M.T., Sacerdote, L. and Zucca, C. (2001) Evaluation of first passage times of diffusion processes through boundaries by means of a totally simulative algorithm. Meth. Comp. Appl. Prob. 3, 215-231 
  26. Sacerdote, L. and Smith, C.E. (2000) New Parameter Relationships Determined Via Stochastic Ordering for Spike Activity in a Reversal Potential Model. BioSystem 58: 59-65. 
  27. Sacerdote, L. and Smith, C.E. (2000) A qualitative comparison of some diffusion models for neural activity via stochastic ordering. Biol. Cybernetics 83, 6 543-551. 
  28. Giraudo, M.T. and Sacerdote, L. (1999) An improved technique for the simulation of first passage times for diffusion processes Communication in Statistics: simulation and computation. 28, n.4 
  29. Giraudo, M.T. and Sacerdote, L. (1998) Simulation methods in neuronal modeling. BioSystems, Elsevier, 48, 77-83. 
  30. Giraudo, M.T. and Sacerdote, L. (1997) Jump-Diffusion processes as models for neuronal activity. Biosystems 40,75-82 
  31. Sacerdote, L. and Tomassetti, F. (1996) On the evaluation and asymptotic approximations for first-passage-time probabilities. Adv. Appl. Prob. 28, 270-284 
  32. Lansky, P., Sacerdote, L. and Tomassetti, F. (1995) On the comparison of Feller and Ornstein-Uhlenbeck Models for Neural Activity. Biol. Cyb. 73, 457-465 
  33. Sacerdote, L. and Ricciardi, L.M. (1992) On the transformation of diffusion equations into the Kolmogorov equation for the Wiener process. Ricerche di Matematica. Vol. XLI fasc., 1123-135 
  34. Balossino, N., Buonocore, N. and Sacerdote, L. (1992) On two neuronal diffusion models. Cyb. and Systems ‘92. Trappl R.. ed. 
  35. Sacerdote, L. (1990) Asymptotic behaviour of Ornstein-Uhlenbeck first-passage-time density through periodic boundaries. Appl. Stoch. Models and Data Analysis. 6, 53-57 
  36. Sacerdote, L. (1990) On the solution of the Fokker-Plank equation for Feller process. Adv. Appl. Prob. 22, 101-110
  37. Ricciardi, L.M. and Sacerdote, L. (1987) On the probability densities of an Ornstein- Uhlenbeck process with a reflecting boundary. J. Appl. Prob. 24, 355-369 
  38. Giorno, V., Nobile, A.G., Ricciardi, L.M. and Sacerdote, L. (1986) Some remarks on the Rayleigh process. J. Appl. Prob. 23 , 398-408 
  39. Nobile, A.G., Ricciardi, L.M. and Sacerdote, L. (1985) Exponential trends for a class of diffusion processes with steady state distribution. J. Appl. Prob. 22, 611-618 
  40. Nobile, A.G., Ricciardi, L.M. and Sacerdote, L. (1985) Exponential trends of Ornstein- Uhlenbeck first-passage-time densities. J. Appl. Prob. 22, 360-369 
  41. Nobile, A.G., Ricciardi, L.M. and Sacerdote, L. (1985) A note on first-passage-time problems. J. Appl. Prob. 22, 346-359 
  42. Balossino, N., Ricciardi, L.M. and Sacerdote, L. (1985) Evaluation of first-passage-time densities for diffusion processes. Cyb. and Systems 16, 325-339 
  43. Ricciardi, L.M. and Sacerdote, L. and Sato, S. (1984) On an integral equation for first passage time probability density function. J. Appl. Prob. 21, 302-314 
  44. Ricciardi, L.M. and Sacerdote, L. and Sato, S. (1983) Diffusion approximation and first passage time problem for a model neuron. Math. Biosc. 64, 29-44 
  45. Nobile, A.G., Ricciardi, L.M. and Sacerdote, L. (1982) On Gompertz growth model and related difference equations. Biol. Cyb. 42, 221-229 
  46. Favella, L., Reineri, M.T., Ricciardi, L.M. and Sacerdote, L. . (1982) First-passage-time problems and some related computational methods. Cyb. and Systems 13, 95-128 
  47. Cerbone, G., Ricciardi, L.M. and Sacerdote, L. (1981) Mean Variance and Skewness of first passage time for the Ornstein-Uhlenbeck process. Cyb. and Systems 12, 395-429 
  48. Ricciardi, L.M. and Sacerdote, L. (1979) The Ornstein-Uhlenbeck process as a model for neuronal activity. Biol.Cyb. 35, 1-9 

 

Refereed Proceedings

  1. R. Sirovich, L. Sacerdote and A.E.P. Villa (2007) Effect of increasing inhibitory inputs on information processing within a small network of spiking neurons Lecture Notes on Computer Science (LNCS), Springer to appear
  2. Lansky P, Sacerdote L., Zucca C. (2007). Input Identification in the Ornstein-Uhlenbeck Neuronal Model with Signal Dependent Noise. In: Lecture Notes Computer Science. BV&AI. (vol. 4729, pp. 368-377). Springer
  3. Giraudo MT, Sacerdote L., Sicco A. (2007). Ghost Stochastic Resonance for a neuron with a pair of periodic inputs. In: BVAI 2007, Lecture notes Computer Sciences. BV&AI. 10-12 ottobre 2007. (vol. 4729).  Springer
  4. Sacerdote L., Zucca C. (2007). Statistical study of the Inverse First Passage Time Algorithm. In: Spie: fluctuations and noise. Spie Fluctuations and Noise. 21-24 Maggio 2007. : Leon Coen ed.
  5. Sacerdote L., Tavella P. (2007). Roles of noise in reliability problems: the view point of a mathematician and some application proposals. In: Edited by Cohen, Leon. Proceedings of the SPIE, Volume 6603, pp. 66030Y (2007). Spie Fluctuations and Noise. 21-24 Maggio 2007. (vol. 6603, pp. 66030-66038). : Leon Coen ed.
  6. Sacerdote, L. , Sirovich, R. and Zucca, C. (2005) Stochastic leaky integrate and fire neuronal model: examples of its application to neuronal coding study. Industrial days. ESCULAPIO Pub. Co. Aquilano et. al. Eds 
  7. L. Sacerdote, A and C. Zucca (2005) Inverse first passage time method in the analysis of neuronal interspike intervals of neurons characterized by time varying dynamics. LNCS 3704, Springer Verlag, De Gregorio et al. Ed. 69-77 
  8. Sacerdote, L. and Sirovich, R. (2004) Noise induced phenomena in jump diffusion models for single neuron spike activity. IJCNN Proceedings, Budapest 2004 
  9. Sacerdote, L. and Zucca, C. (2003) On the relationship between interspikes interval distribution and boundary shape in the Ornstein-Uhlenbeck neuronal model. EMCTB Proceedings. V. Capasso ed., 161-168 
  10. Sacerdote, L. and Sirovich, R. (2003) A Wiener process with inverse Gaussian time distributed jumps as a model for neuronal activity. EMCTB Proceedings. V. Capasso ed. 134-140 
  11. Cascino, B. Galleani, L., Gallo, G. Sacerdote, L., Tavella, P. and Zucca, C. (2002) The Mathematical model of the atomic clock error: an overview. Proceedings of the 4th time scales Algorithms Symposium at Bureau International des Poids et Measures. Paris, March 2002 
  12. Giraudo, M.T. and Sacerdote, L. (1996) Some remarks on First-Passage-Time for Jump- Diffusion Processes. In Cybernetics and Systems ‘96. R. Trappl ed. 518-523 
  13. Sacerdote, L. and Tomassetti, F. (1994) On the comparison of different neural models. Cybernetics and Systems‘94. Trappl, R. ed. World Scient. Comp.Comp 815-822 
  14. Balossino, N., Buonocore, N. and Sacerdote, L. (1992) On two neuronal diffusion models. Cyb. and Systems ‘92. Trappl R.. ed. 
  15. Sacerdote, L. (1988) Some remarks on first-passage-time problems.In: Biomathematics and related Computational Problems. Ricciardi, L.M. ed. Reidel Pub. Comp. 567-579
  16. Sacerdote, L. (1988)On Neuronal modelling and first-passage-time problems In: Cyb. and Systems Trappl, R. ed. Kluwer Ac. Pub. 359-366 
  17. Nobile, A.G. Ricciardi, L.M. and Sacerdote, L. (1984) On a class of discrete models for regulated growth with intrinsic lower bounds. Cyb. and Systems Res. 2 Trappl R. ed. North Holland Pub. Comp. 
  18. Nobile, A.G., Ricciardi, L.M. and Sacerdote, L. (1982) On a class of difference equations modeling growth processes. Biomath. in 1980 Scott A. and Ricciardi, L.M. ed. North Holland Math. Pub. 217-243 
  19. Ricciardi, L.M. and Sacerdote, L. (1980) The first-passage-time problem with applications to neuronal modeling. Appl. of Information and Control Systems. Lainiotis and Tzannes ed. Reidel Pub. Comp. 226-236

 

 

Discussions and other not refereed contributions

 

  1. Cascino, B. Galleani, L., Gallo, G. Sacerdote, L., Tavella, P. and Zucca, C. (2002) The Mathematical model of the atomic clock error: an overview. Proceedings of the 4th time scales Algorithms Symposium at Bureau International des Poids et Measures. Paris, March 2002 
  2. Giraudo, M.T. and Sacerdote, L. (2002) First entrance time distribution multimodality in a model neuron. Preprint 
  3. Zucca, C., Sacerdote, L. and Peskir, G. (2002) On the Inverse First-Passage Problem for a Wiener Process. Preprint Giraudo, M.T. and Sacerdote, L. (2001) Analysis of a periodic stimulated model neuron with reversal potential by means of different mathematical tools. Preprint 
  4. Sacerdote (1999) Esercizi di Calcolo delle Probabilità per Informatica. Preprint
  5. Bergonzo C., Eynard E., Fubini E., Masali M., Sacerdote L., Salis N. (1999). Definition of somatotypes of Italian population for ergonomics applications through the cluster analysis technique. 11th Congress of the European Anthropological Association, Jena 30 agosto - 3 settembre 1998. Preprint 
  6. Bosetto,E. e Sacerdote, L. (1996) Analisi statistica della situazione occupazionale dei laureati in matematica torinesi nel periodo 1985-1995. Volume Mathesis 1996. 

 

Submitted papers

 

  1. C. Zucca and L. Sacerdote (2007) On the inverse First Passage Time problem for a Wiener Process. Submitted
  2. M. Maffei, C. Zucca, S. Bossi, S. Badino and L. Sacerdote (2007) Two mathematical models describe plant responses to urban environmental pollution. Sumitted