Measuring multiple spike train synchrony

@article{Kreuz2009MeasuringMS,
  title={Measuring multiple spike train synchrony},
  author={Thomas Kreuz and Daniel Chicharro and Ralph G. Andrzejak and Julie S. Haas and Henry D. I. Abarbanel},
  journal={Journal of Neuroscience Methods},
  year={2009},
  volume={183},
  pages={287-299}
}

Time-resolved and time-scale adaptive measures of spike train synchrony

Monitoring spike train synchrony

A substantial improvement of this measure of spike train synchrony is presented that eliminates the shortcoming of spuriously high instantaneous values for eventlike firing patterns and allows to track changes in instantaneous clustering, i.e., time-localized patterns of (dis)similarity among multiple spike trains.

SPIKY: a graphical user interface for monitoring spike train synchrony

The graphical user interface SPIKY is presented and the high computation speed is increased even further by transferring the most time-consuming parts of the original Matlab code to Matlab executables (MEX) with the new subroutines written in C.

Measuring real-time synchronization in both spike trains and continuous time series

The original method is modified such that instantaneous value of dissimilarity for two or more spike trains can be calculated in real-time and the SPIKE-distance is transformed into a measure of Dissimilarity which can be applied toTwo or more channels of continuous data.

Title Monitoring spike train synchrony 2 3 4

A substantial improvement is presented of the SPIKE-distance, a parameter-free and time-scale independent measure of spike train synchrony which eliminates the shortcoming of its original definition which led to spuriously high instantaneous values for event-like firing patterns.

SPIKY: a graphical user interface for monitoring spike train synchrony

SPIKY is a graphical user interface that facilitates the application of time-resolved measures of spike train synchrony to both simulated and real data and includes implementations of the ISI-distance, the SPIKE- distance, and the SPIke-synchronization that have been optimized with respect to computation speed and memory demand.

Time-resolvedandtime-scaleadaptivemeasuresofspiketrainsynchrony

The SPIKEdistance is proposed, a complementary measure which is sensitive to spike coincidences but still shares the fundamental advantages of the ISI-distance and can be extended to a method that is also applicable to larger sets of spike trains.

Measures of spike train synchrony: From single neurons to populations.

This chapter will give an overview of different approaches designed to quantify multiple neuron synchrony, addressing both measures of synchrony among one group of neurons as well as measures that estimate the degree of synchronization between populations of neurons.
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