The linear correlation coefficient is typically used to characterize and analyze dependencies of neural spike counts. Here, we show that the correlation coefficient is in general insufficient to characterize these dependencies. We construct two neuron spike count models with Poisson-like marginals and vary their dependence structure using copulas. To this end, we construct a copula that allows ...

The central purpose of this paper is to formulate and estimate a retirement model that also includes claiming of Social Security benefits as an outcome, and to use the model to inquire about the effects of various proposals to change the Social Security system. The forerunner to this work is a retirement model previously built to capture the spike in retirement at the Social Security early enti...

RetinotopicNET is an efficient simulator for neural architectures with retinotopic-like receptive fields. The system has two main characteristics: it is event-driven and it takes advantage of the retinotopic arrangement in the receptive fields. The dynamics of the simulator are driven by the spike events of the simple integrate-and-fire neurons. By using an implicit synaptic rule to represent t...

A novel statistical strategy, the spike jitter method, was developed to assess temporal structure in spike trains from neuronal ensembles. Its key feature is the introduction of a null hypothesis that assumes a uniform relative likelihood of observing a spike at one temporal location versus another within a small temporal window. We applied the method to simultaneously recorded motor cortical n...

background: malaria is one of the most important parasitic diseases in tropical and temperate regions. the aim of this study was to determine the trend of malaria in mazandaran province, northern iran during 1997-2012. methods: this retrospective study was conducted from 1997 to 2012. the population's study was individuals who registered at health centers of mazandaran province. peripheral bloo...