Pages that link to "Item:Q263681"

The following pages link to On the classification of experimental data modeled via a stochastic leaky integrate and fire model through boundary values (Q263681):

Displaying 9 items.

• The gamma renewal process as an output of the diffusion leaky integrate-and-fire neuronal model (Q309609) (← links)
• Linear programming and the inverse method of images (Q378743) (← links)
• Joint probability-based neuronal spike train classification (Q634421) (← links)
• On the inverse first-passage-time problem for a Wiener process (Q835061) (← links)
• Multiplicative multifractal modeling and discrimination of human neuronal activity (Q936888) (← links)
• Neuron classification based on temporal firing patterns by the dynamical analysis with changing time resolution (DCT) method (Q1889224) (← links)
• The inverse first passage time method for a two dimensional Ornstein Uhlenbeck process with neuronal application (Q2045589) (← links)
• The effects of background noise on a biophysical model of olfactory bulb mitral cells (Q2168360) (← links)
• Stochastic Integrate and Fire Models: A Review on Mathematical Methods and Their Applications (Q4567932) (← links)