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Das Institut für Stochastik befindet sich im Science Park 2, 6. Stockwerk ...  mehr zu Anfahrtsplan (Titel)


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Massimiliano Tamborrino

Dr. Massimiliano Tamborrino

Dr. Massimiliano Tamborrino (Zum Team)
Universitätsassistent

S2 0614
Tel.: +43 732 2468 4168
Massimiliano.Tamborrino(/\t)jku.at

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Papers in Refereed Journals

[13] Tamborrino, M., Ditlevsen, S., Markussen B. and Kyllingsbaek S. Gaussian Counter Models for Visual Identification of Briefly Presented, Mutually Confusable Single Stimuli in Pure Accuracy Tasks. J. Math. Psych. ,79, 85--103, 2017. [12] Levakova, M., Tamborrino, M., Kostal, L. and Lansky, P. Accuracy of rate coding: When shorter time window and higher spontaneous activity may help. Phys. Rev. E, 95(2):022310, 2017.

[11] Levakova, M., Tamborrino, M., Kostal, L. and Lansky, P. Presynaptic spontaneous activity enhances the accuracy of latency coding. Neural Computation, 28 (10), 2162-2180, 2016.

[10] Sacerdote, L., Tamborrino, M. and Zucca, C. First passage times of two-dimensional correlated processes: analytical results for the Wiener process and a numerical method for diffusion processes. Journal of Computation and Applied Mathematics, 296, 275-292, 2016.

[9] Tamborrino, M. Approximation of the first passage time density of a Wiener process to an exponentially decaying threshold by two-piecewise linear boundary. Application to neuronal spiking activity. Mathematical Biosciences and Engineering , 13 (3), 613--629, 2016.

[8] Jakobsen J.C, Tamborrino M, Winkel P., Haase N., Perner A., Wetterslev J. and Gluud C. Count Data Analysis in Randomised Clinical Trials. Journal of Biometrics and Biostatistics, 6:1, 2015.

[7] Levakova, M., Tamborrino, M., Ditlevsen, S. and Lansky, P. A review of the methods for neuronal response latency estimation. BioSystems, 136, 23--34, 2015.

[6] Tamborrino, M., Ditlevsen, S. and Lansky, P. Parametric inference from hitting times for perturbed Brownian motion. Lifetime Data Analysis, 21 (3): 331–352, 2015.

[5] Tamborrino, M., Sacerdote, L. and Jacobsen, M. Weak convergence of marked point processes generated by crossings of multivariate jump processes. Application to neural network modeling. Physica D, 288, 45-52, 2014.

[4] Tamborrino, M., Ditlevsen, S. and Lansky, P. Parametric inference of neuronal response latency in presence of a background signal. BioSystems, 112, 249-257, 2013.

[3] Tamborrino, M., Ditlevsen, S. and Lansky, P. Identification of noisy response latency. Physical Review E, 86, 021128, 2012. Correction to the paper can be found here.

[2] Sacerdote, L., Tamborrino, M. and Zucca, C. Detecting dependencies between spike trains of pairs of neurons through copulas. Brain Research, 1434, 243-256, 2012.

[1] Sacerdote, L. and Tamborrino, M. Leaky Integrate and Fire models coupled through copulas: association properties of the Interspike Intervals.Chinese Journal of Physiology, 53 (6), 396-406, 2010.