A) Sensitivity to spike timing and spike count for different measures for an example of three synthetic spike trains (as in [32] (Fig 5D)). Bottom: Computation of Victor-Purpura metric for pairs of spike trains, varying the shift-cost q (left), and computation of distances for SPIKE, RI-SPIKE, and SpikeShip (right) (see Methods). SpikeShip and RI-SPIKE dissimilarities reflect spike timing rather than spike count. By contrast, VP reflects spike-count differences, which holds true for the entire range of q. B) Sensitivity of different measures to global shifts of spiking patterns and changes in relative spike timing. Top: Example of three multi-neuron spiking patterns. Onset of spike patterns B and C where shifted relative to pattern A. Color...
<p>Statistical analysis and inferences on spike trains are one of the central topics in neural codin...
With the growing availability of multi-unit recordings there is increasing demand for methods which ...
Background: It is commonly assumed in neuronal coding that repeated presentations of a stimulus to a...
A) Example of single spike trains for two epochs for 10 neurons. Patterns were generated as uniform ...
The distance between a pair of spike trains, quantifying the differences be-tween them, can be measu...
Multiple measures have been developed to quantify the similarity between two spike trains. These mea...
A) Pairwise comparison of epochs and clustering performance of metrics (one session). Top: Dissimila...
Simulations of spike trains with same number of spikes (i.e., n = 20). Top: Comparison of distances ...
<p>The spike sorted waveforms of a single neuron. The black lines are individual spikes and the red ...
(A-C) Six hypothetical cases of pairs of spike trains and their associated Pearson's correlation coe...
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 ...
Neural spike train analysis methods are mainly used for understanding the temporal aspects of neural...
Background Measures of spike train synchrony are widely used in both experimental and computational ...
<p>Spike trains are observables when investigating neural activity - represent the response of a neu...
<p>Statistical analysis and inferences on spike trains are one of the central topics in neural codin...
With the growing availability of multi-unit recordings there is increasing demand for methods which ...
Background: It is commonly assumed in neuronal coding that repeated presentations of a stimulus to a...
A) Example of single spike trains for two epochs for 10 neurons. Patterns were generated as uniform ...
The distance between a pair of spike trains, quantifying the differences be-tween them, can be measu...
Multiple measures have been developed to quantify the similarity between two spike trains. These mea...
A) Pairwise comparison of epochs and clustering performance of metrics (one session). Top: Dissimila...
Simulations of spike trains with same number of spikes (i.e., n = 20). Top: Comparison of distances ...
<p>The spike sorted waveforms of a single neuron. The black lines are individual spikes and the red ...
(A-C) Six hypothetical cases of pairs of spike trains and their associated Pearson's correlation coe...
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 ...
Neural spike train analysis methods are mainly used for understanding the temporal aspects of neural...
Background Measures of spike train synchrony are widely used in both experimental and computational ...
<p>Spike trains are observables when investigating neural activity - represent the response of a neu...
<p>Statistical analysis and inferences on spike trains are one of the central topics in neural codin...
With the growing availability of multi-unit recordings there is increasing demand for methods which ...
Background: It is commonly assumed in neuronal coding that repeated presentations of a stimulus to a...