Measuring multiple spike train synchrony

  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},

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

A guide to time-resolved and parameter-free measures of spike train synchrony

A detailed analysis of the mathematical properties of these time-resolved synchronization measures, ISI-distance and SPIKE-Synchronization, based on an empirical formula deduced from numerical evaluations.

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.


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.



Measuring spike train synchrony between neuronal populations

This study presents an analogous extension for the ISI-dis-tance that also interpolates between the LL and the SPcodes and stresses the advantages of this extension with respect to visualization, computa-tional cost and applicability to larger numbers of spiketrains with higher numbers of spikes.

Chaos-induced modulation of reliability boosts output firing rate in downstream cortical areas.

  • P. Tiesinga
  • Biology
    Physical review. E, Statistical, nonlinear, and soft matter physics
  • 2004
Results are a proof of principle that weak temporal modulations in the power of gamma-frequency oscillations in a given cortical area can strongly affect firing rate responses downstream by way of reliability in spite of rather modest changes in firing rate in the originating area.

Elimination of response latency variability in neuronal spike trains

A novel nonparametric method for estimating trial-by-trial differences in response latency from neuronal spike trains that makes use of the dynamic rate profile for each single trial and maximizes their total pairwise correlation by appropriately shifting all trials in time is presented.

Resonance effect for neural spike time reliability.

These observations suggest that, when the magnitude of input fluctuations is small, changes in the power spectrum of the current fluctuations or in the spike discharge rate can have a pronounced effect on the ability of the neuron to encode a time-varying input with reliably timed spikes.

Robustness and variability of neuronal coding by amplitude-sensitive afferents in the weakly electric fish eigenmannia.

In the weakly electric fish, Eigenmannia, information conveyed by P-receptor afferents was degraded only for average jitters considerably larger than those observed experimentally, suggesting that the intrinsic variability of single spike trains lies outside of the range where it might degrade the information conveyed, yet still allows for improvement in coding by averaging across multiple afferent fibers.

Metric-space analysis of spike trains: theory, algorithms and application

The mathematical basis of a new approach to the analysis of temporal coding is the construction of several families of novel distances (metrics) between neuronal impulse trains that formalize physiologically based hypotheses for those aspects of the firing pattern that might be stimulus dependent and make essential use of the point-process nature of neural discharges.

A New Correlation-Based Measure of Spike Timing Reliability

Neural coding of spatial phase in V1 of the macaque monkey.

It is found that paying attention to the times of individual spikes, at a resolution of approximately 30 ms, and keeping track of which neuron fires which spike contribute substantially to phase coding, which indicates that simple mechanisms allow the temporal contribution tophase coding to be decoded.

Causal entropies—A measure for determining changes in the temporal organization of neural systems

Nature and precision of temporal coding in visual cortex: a metric-space analysis.

To examine the nature and precision of temporal coding, individual responses elicited by each set of stimuli were compared in terms of two families of metrics, which provided a possible mechanism for the simultaneous representation of multiple stimulus attributes in one spike train.