A comparison of binless spike train measures

@article{Paiva2009ACO,
  title={A comparison of binless spike train measures},
  author={Ant{\'o}nio R. C. Paiva and Il Memming Park and Jos{\'e} Carlos Pr{\'i}ncipe},
  journal={Neural Computing and Applications},
  year={2009},
  volume={19},
  pages={405-419}
}
Several binless spike train measures which avoid the limitations of binning have been recently been proposed in the literature. This paper presents a systematic comparison of these measures in three simulated paradigms designed to address specific situations of interest in spike train analysis where the relevant feature may be in the form of firing rate, firing rate modulations, and/or synchrony. The measures are first disseminated and extended for ease of comparison. It also discusses how the… 
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Improved spike train measures can be successfully used for fitting neuron models to experimental data, for comparisons of spike trains, and classification of spike train data, and it is demonstrated that when similarity measures are used forfitting mathematical models, all previous methods systematically underestimate the noise.
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A new spike train distance measure has been proposed, which is purely dependent on statistical features of the two spike trains, the distance between which is to be measured and it has been indicated how accuracy can be further improved by increasing the number of features.
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A method which presented a new definition of different multi-step interval ISI-distance distribution of single neuronal spike trains and formed a new feature vector to represent the original spike trains is proposed.
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References

SHOWING 1-10 OF 52 REFERENCES
Measuring spike train synchrony
Linking non-binned spike train kernels to several existing spike train metrics
Spike train metrics
  • J. Victor
  • Computer Science, Biology
    Current Opinion in Neurobiology
  • 2005
A New Correlation-Based Measure of Spike Timing Reliability
Studying spike trains using a van Rossum metric with a synapse-like filter
TLDR
The metric proves effective at classifying neuronal responses by stimuli in the sample data set of electro-physiological recordings from the primary auditory area of the zebra finch fore-brain suggesting that in these spike trains the significance of a spike is modulated by its proximity to previous spikes.
A New Multineuron Spike Train Metric
TLDR
An extension of the van Rossum metric to a multineuron metric is suggested that gives a metric that is both natural and easy to calculate.
Spectral Clustering of Synchronous Spike Trains
TLDR
A clustering algorithm that learns the groups of synchronized spike trains directly from data and couples a distance between two spike trains recently proposed in the literature with spectral clustering is proposed.
A Novel Spike Distance
TLDR
A measure is introduced for the distance between two spike trains that has a time constant as a parameter and can be used to determine the intrinsic noise of a neuron.
Discovering Spike Patterns in Neuronal Responses
TLDR
It is shown that the same repeated stimulus can produce more than one reliable temporal pattern of spikes, and it is concluded that the prestimulus history of a neuron may influence the precise timing of the spikes in response to a stimulus over a wide range of time scales.
Unitary Events in Multiple Single-Neuron Spiking Activity: I. Detection and Significance
TLDR
A novel method to detect conspicuous patterns of coincident joint spike activity among simultaneously recorded single neurons, designed to deal with nonstationary firing rates is described.
...
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