We propose a statistical method for modeling the non-Poisson variability of spike trains observed in a wide range of brain regions. Central to our approach is the assumption that the variance and the mean of interspike intervals are related by a power function characterized by two parameters: the scale factor and exponent. It is shown that this single assumption allows the variability of spike ...

This paper introduces a simple diesel train energy consumption model that calculates the instantaneous using vehicle operational input variables, including speed, acceleration, and roadway grade, which can be easily obtained from global positioning system (GPS) loggers. The was tested against real-world data produced an error of −1.33% for all errors ranging −12.4% to +8.0% four datasets amount...

The train scheduling problem with the origin-destination (O-D) dependent passenger demands is considered for urban rail transit systems. In this paper, trains are allowed to skip any intermediate stations (except the origin station and the final station) to reduce the passenger travel time and to save energy consumption. A model of train movements with stop-skipping and the O-D dependent passen...

Poisson processes usually provide adequate descriptions of the irregularity in neuron spike times after pooling the data across large numbers of trials, as is done in constructing the peristimulus time histogram. When probabilities are needed to describe the behavior of neurons within individual trials, however, Poisson process models are often inadequate. In principle, an explicit formula give...

in this study, a three–layer artificial neural network (ann) model was developed to predict the pressure gradient in horizontal liquid–liquid separated flow. a total of 455 data points were collected from 13 data sources to develop the ann model. superficial velocities, viscosity ratio and density ratio of oil to water, and roughness and inner diameter of pipe were used as input parameters of t...

Railway scheduling is a complex task of rail operators that involves the generation of a conflict-free train timetable. This paper presents a discrete-event simulation-based optimization approach for solving the train timetabling problem to minimize total weighted unplanned stop time in a hybrid single and double track railway networks. The designed simulation model is used as a platform for ge...

This paper studies responses of threedimensional (3-D) spiking oscillators to pulse-train input. The 3-D spiking oscillator consists of a linear subcircuit and a state-resetting switch. In order to analyze responses of the circuits, we introduce a mapping procedure based on a one-dimensional (1-D) return map. We then consider a simple 3-D spiking oscillator based on an RLC circuit. For equidist...

Recent numerical results for a model describing dispersive transport in rice piles are explained by mapping the model to the depinning transition of an interface that is dragged at one end through a random medium. The average velocity of transport vanishes with system size L as < v >∼ L2−D ∼ L−0.23, and the avalanche size distribution exponent τ = 2 − 1/D ≃ 1.55, where D ≃ 2.23 from interface d...