On the evaluation of first passage time densities for Gaussian processes
Signal Processing
Diffusion models of neuron activity
The handbook of brain theory and neural networks
Simulation
Gaussian processes and neuronal modeling
Natural Computing: an international journal
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For a class of stationary Gaussian processes and for large correlation times, the asymptotic behavior of the upcrossing first passage time probability densities is investigated. Parallel simulations of sample paths of special stationary Gaussian processes for large correlations times provide a statistical validation of the theoretical results.