The function takes as an input the spike times of the two spike trains and the Victor and Purpura cost, and returns the normalized distance (that we developed for the analysis linking neuronal activity to behavior)
The discrimination between two spike trains is a fundamental problem, both for the experimentalist ...
During the last decade spike train distances [1-4] have become an essential means to characterize ne...
Simulations of spike trains with same number of spikes (i.e., n = 20). Top: Comparison of distances ...
The function takes as an input the spike times of the two spike trains and the Victor and Purpura co...
A fundamental problem in studying population codes is how to compare population activity patterns. P...
Neural spike train analysis methods are mainly used for understanding the temporal aspects of neural...
This MATLAB script calculates spike rate adaptation and the maximum spike rate adaptation from the i...
Over the last decade there has been a tremendous advance in the analytical tools available to neuros...
<p>The spike sorted waveforms of a single neuron. The black lines are individual spikes and the red ...
The distance between a pair of spike trains, quantifying the differences be-tween them, can be measu...
Time scale parametric spike train distances like the Victor and the van Rossum distances/nare often ...
Estimating the degree of synchrony or reliability between two or more spike trains is a frequent tas...
<p>Spike trains are observables when investigating neural activity - represent the response of a neu...
This zip file contains Matlab scripts and ode (XPP) files to calculate the statistics of the models ...
<p>Top: shown are the average peri-stimulus histograms for four moving bar stimuli spanning the four...
The discrimination between two spike trains is a fundamental problem, both for the experimentalist ...
During the last decade spike train distances [1-4] have become an essential means to characterize ne...
Simulations of spike trains with same number of spikes (i.e., n = 20). Top: Comparison of distances ...
The function takes as an input the spike times of the two spike trains and the Victor and Purpura co...
A fundamental problem in studying population codes is how to compare population activity patterns. P...
Neural spike train analysis methods are mainly used for understanding the temporal aspects of neural...
This MATLAB script calculates spike rate adaptation and the maximum spike rate adaptation from the i...
Over the last decade there has been a tremendous advance in the analytical tools available to neuros...
<p>The spike sorted waveforms of a single neuron. The black lines are individual spikes and the red ...
The distance between a pair of spike trains, quantifying the differences be-tween them, can be measu...
Time scale parametric spike train distances like the Victor and the van Rossum distances/nare often ...
Estimating the degree of synchrony or reliability between two or more spike trains is a frequent tas...
<p>Spike trains are observables when investigating neural activity - represent the response of a neu...
This zip file contains Matlab scripts and ode (XPP) files to calculate the statistics of the models ...
<p>Top: shown are the average peri-stimulus histograms for four moving bar stimuli spanning the four...
The discrimination between two spike trains is a fundamental problem, both for the experimentalist ...
During the last decade spike train distances [1-4] have become an essential means to characterize ne...
Simulations of spike trains with same number of spikes (i.e., n = 20). Top: Comparison of distances ...
DOI
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