Recently, the SPIKE-distance has been proposed as a parameter-free and timescale-
independent measure of spike train synchrony. This measure is time resolved since it relies …

Analysis of spike and local field potential (LFP) data is an essential part of neuroscientific
research. Today there exist many open-source toolboxes for spike and LFP data analysis …

Understanding how populations of neurons encode information is the challenge faced by
researchers in the field of neural coding. Focusing on the many mysteries and marvels of the …

A better understanding of the mechanisms by which most focal epileptic seizures stop
spontaneously within a few minutes would be of highest importance, because they could …

Background It is commonly assumed in neuronal coding that repeated presentations of a
stimulus to a coding neuron elicit similar responses. One common way to assess similarity …

Studies of motor control have almost universally examined firing rates to investigate how the
brain shapes behavior. In principle, however, neurons could encode information through the …

Neural spike train analysis methods are mainly used for understanding the temporal aspects
of neural information processing. One approach is to measure the dissimilarity between the …

Background Measures of spike train synchrony are widely used in both experimental and
computational neuroscience. Time-scale independent and parameter-free measures, such …

The van Rossum metric measures the distance between two spike trains. Measuring a
single van Rossum distance between one pair of spike trains is not a computationally …

Measures of spike train synchrony (or inversely spike train distances) are estimators of the
(dis) similarity between two or sometimes more spike trains. Here spike train refers to a …