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 ...

Attractive train schedules are quite important for the success of public rail transport. We consider schedules which are repeated after some xed time period. Periodicity is a well accepted, convenient attribute of all major railroad systems. Since trains share the public railroad network, we have to handle many connicting demands. Increasing competition from transportation alternatives as well ...

This paper presented a new height-resolved view of global dust transport based on 2007-2010 Atrain observations. First, a new dust identification methodology was developed to improve optically thin dust layer detection. Second a new dust partition methodology was developed and applied to CALIPSO lidar measurements to derive dust partitions in external mixed aerosols. These new approaches allow ...

Thomas Kreuz, Daniel Chicharro, Conor Houghton, Ralph G. Andrzejak, and Florian Mormann Institute for Complex Systems, CNR, Sesto Fiorentino, Italy; Center for Neuroscience and Cognitive Systems@UniTn, Italian Institute of Technology, Rovereto (TN), Italy; Department of Computer Science, University of Bristol, Bristol, United Kingdom; Department of Information and Communication Technologies, Un...

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...

The Victor-Purpura spike train metric has recently been extended to a family of multineuron metrics and used to analyze spike trains recorded simultaneously from pairs of proximate neurons. The metric is one of the two metrics commonly used for quantifying the distance between two spike trains; the other is the van Rossum metric. Here, we suggest an extension of the van Rossum metric to a multi...

background: national transport commission (ntc) classifies train driving as a high-level safety critical job. objective: to assess fitness-for-work among train drivers in yazd, central iran. methods: we evaluated 152 train drivers for their fitness for duty. the results were then compared with ntc guidelines. results: 63.8% of subjects were fit for duty, 34.2% fit subject to review, and 2.0% we...

Nowadays, railways are confronted with numerous pressing problems, including capacity optimization, energy conservation, cost reduction and improving customer satisfaction. While the traditional railway is a very safe means of transportation, it still cannot meet all these requirements. Hence there are high interests in two available systems to overcome these challenges: Traffic Management Syst...