The Ornstein-Uhlenbeck process does not reproduce spiking statistics of neurons in prefrontal cortex

New classification scheme of cortical sites with the neuronal spiking characteristics

Neural Networks

Integrate-and-fire neurons driven by correlated stochastic input

Neural Computation

Differences in spiking patterns among cortical neurons

Neural Computation

A Comparison of Descriptive Models of a Single Spike Train by Information-Geometric Measure

Neural Computation

Information Geometry of Interspike Intervals in Spiking Neurons

Neural Computation

Including Long-Range Dependence in Integrate-and-Fire Models of the High Interspike-Interval Variability of Cortical Neurons

Neural Computation

Mean-driven and fluctuation-driven persistent activity in recurrent networks

Neural Computation

Discrimination with spike times and isi distributions

Neural Computation

Parameters of the diffusion leaky integrate-and-fire neuronal model for a slowly fluctuating signal

Neural Computation

Information geometry of interspike intervals in spiking neurons with refractories

ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I

On a stochastic leaky integrate-and-fire neuronal model

Neural Computation

Motoneuron membrane potentials follow a time inhomogeneous jump diffusion process

Journal of Computational Neuroscience

An information geometrical analysis of neural spike sequences

ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I

Different responses of two types of class II neurons for fluctuated inputs

ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I

Estimation of time-dependent input from neuronal membrane potential

Neural Computation

Neurons as ideal change-point detectors

Journal of Computational Neuroscience