Detecting the excess of spike synchrony and testing its significance can not be done analytically for many types of spike trains and relies on adequate surrogate methods. The main challenge for these methods is to conserve certain features of the spike trains, the two most important being the firing rate and the inter-spike interval statistics. In this study we make use of operational time to introduce generalizations to spike dithering and propose two novel surrogate methods which conserve both features with high accuracy. Compared to earlier approaches, the methods show an improved robustness in detecting excess synchrony between spike trains
Estimating the degree of synchrony or reliability between two or more spike trains is a frequent tas...
Estimating the degree of synchrony or reliability between two or more spike trains is a frequent tas...
The relevance of exact spike timings in neural coding was presumed since a long time and has now bee...
Detecting the excess of spike synchrony and testing its significance can not be done analytically fo...
Detecting the excess of spike synchrony and testing its significance can not be done analytically fo...
We designed the statistical method SPADE [1,2,3] to detect ms-precise significant spatio-temporal sp...
The generation of surrogate data, i.e., the modification of data to destroy a certain feature, can b...
Spike train surrogates are an essential methodology to assess significance of statistical properties...
In order to detect significant spatio-temporal spike patterns (STPs) at ms-precision, we developed t...
Background Measures of spike train synchrony are widely used in both experimental and computational ...
Background Measures of spike train synchrony are widely used in both experimental and computational ...
Background Measures of spike train synchrony are widely used in both experimental and computational ...
Neurons in sensory systems convey information about physical stimuli in their spike trains. In vitro...
Neurons in sensory systems convey information about physical stimuli in their spike trains. In vitro...
To identify active cell assemblies we developed a method to detect significant spatio-temporal spike...
Estimating the degree of synchrony or reliability between two or more spike trains is a frequent tas...
Estimating the degree of synchrony or reliability between two or more spike trains is a frequent tas...
The relevance of exact spike timings in neural coding was presumed since a long time and has now bee...
Detecting the excess of spike synchrony and testing its significance can not be done analytically fo...
Detecting the excess of spike synchrony and testing its significance can not be done analytically fo...
We designed the statistical method SPADE [1,2,3] to detect ms-precise significant spatio-temporal sp...
The generation of surrogate data, i.e., the modification of data to destroy a certain feature, can b...
Spike train surrogates are an essential methodology to assess significance of statistical properties...
In order to detect significant spatio-temporal spike patterns (STPs) at ms-precision, we developed t...
Background Measures of spike train synchrony are widely used in both experimental and computational ...
Background Measures of spike train synchrony are widely used in both experimental and computational ...
Background Measures of spike train synchrony are widely used in both experimental and computational ...
Neurons in sensory systems convey information about physical stimuli in their spike trains. In vitro...
Neurons in sensory systems convey information about physical stimuli in their spike trains. In vitro...
To identify active cell assemblies we developed a method to detect significant spatio-temporal spike...
Estimating the degree of synchrony or reliability between two or more spike trains is a frequent tas...
Estimating the degree of synchrony or reliability between two or more spike trains is a frequent tas...
The relevance of exact spike timings in neural coding was presumed since a long time and has now bee...