We describe how the time-rescaling theorem may be used to develop goodness-of-fit tests for both parametric and histogram-based point process models of neural spike trains.Expand

We propose a simple solution to this problem, which is to assume that the time at which a neuron fires is determined probabilistically by, and only by, two quantities: experimental clock time and the elapsed time since the previous spike.Expand

Abstract We investigate the compatibility of a null model H 0 with the data by calculating a p value; that is, the probability, under H 0, that a given test statistic T exceeds its observed value.… Expand

Abstract The analysis of climatological data often involves statistical significance testing at many locations. While the field significance approach determines if a field as a whole is significant,… Expand

This article reviews well-established statistical principles, which provide useful guidance, and argues that good statistical practice can substantially enhance results.Expand

The National Centers for Environmental Prediction‐National Center for Atmospheric Research (NCEP‐NCAR) reanalysis is used to estimate time trends of, and analyze the relationships among, six indices… Expand

The purpose of smoothing (filtering) neuronal data is to improve the estimation of the instantaneous firing rate. In some applications, scientific interest centres on functions of the instantaneous… Expand

We show that excess trial-to-trial variation produces spike count correlations that vary with the length of time interval during which the counts are recorded.Expand

We propose a novel approach to spike sorting, which incorporates both waveform information and tuning information obtained from the modulation of firing rates.Expand