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Fernando Montani

Affiliations: 
Italian Institute of Technology, Genoa, United States 
Area:
Computational Neuroscience
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"Fernando Montani"
Mean distance: 14.24 (cluster 17)
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Parents

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Simon R. Schultz grad student 2004-2008 Imperial College

Children

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Collaborators

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Aman B. Saleem collaborator Imperial College
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Publications

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Baravalle R, Montani F. (2020) Higher-Order Cumulants Drive Neuronal Activity Patterns, Inducing UP-DOWN States in Neural Populations. Entropy (Basel, Switzerland). 22
Baravalle R, Guisande N, Granado M, et al. (2019) Characterization of Visuomotor/Imaginary Movements in EEG: an Information Theory and Complex Network approach Frontiers in Physics. 7: 115
Montangie L, Montani F. (2018) Common inputs in subthreshold membrane potential: The role of quiescent states in neuronal activity. Physical Review. E. 97: 060302
Baravalle R, Rosso OA, Montani F. (2018) Discriminating imagined and non-imagined tasks in the motor cortex area: Entropy-complexity plane with a wavelet decomposition Physica a-Statistical Mechanics and Its Applications. 511: 27-39
Baravalle R, Rosso OA, Montani F. (2017) A path integral approach to the Hodgkin–Huxley model Physica a-Statistical Mechanics and Its Applications. 486: 986-999
Montangie L, Montani F. (2016) Effect of interacting second- and third-order stimulus-dependent correlations on population-coding asymmetries. Physical Review. E. 94: 042303
Montani F, Oliynyk A, Fadiga L. (2015) Superlinear Summation of Information in Premotor Neuron Pairs. International Journal of Neural Systems. 1650009
Montani F, Baravalle R, Montangie L, et al. (2015) Causal information quantification of prominent dynamical features of biological neurons. Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences. 373
Montani F, Rosso OA, Matias FS, et al. (2015) A symbolic information approach to determine anticipated and delayed synchronization in neuronal circuit models. Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences. 373
Montangie L, Montani F. (2015) Quantifying higher-order correlations in a neuronal pool Physica a: Statistical Mechanics and Its Applications. 421: 388-400
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