The van Rossum metric measures the distance between two spike trains. Measuring a single van Rossum distance between one pair of spike trains is not a computationally expensive task, however, many applications require a matrix of distances between all the spike trains in a set or the calculation of a multi-neuron distance between two populations of spike trains. Moreover, often these calculations need to be repeated for many different parameter values. An algorithm is presented here to render these calculation less computationally expen-sive, making the complexity linear in the number of spikes rather than quadratic
<p>The spike sorted waveforms of a single neuron. The black lines are individual spikes and the red ...
The function takes as an input the spike times of the two spike trains and the Victor and Purpura co...
A) Sensitivity to spike timing and spike count for different measures for an example of three synthe...
The van Rossum metric measures the distance between two spike trains. Measuring a single van Rossum ...
The distance between a pair of spike trains, quantifying the differences be-tween them, can be measu...
In this paper numerical methods of computing distances between two Radon mea-sures on R are discusse...
Neural spike train analysis methods are mainly used for understanding the temporal aspects of neural...
<p>Spike trains are observables when investigating neural activity - represent the response of a neu...
Simulations of spike trains with same number of spikes (i.e., n = 20). Top: Comparison of distances ...
A fundamental problem in studying population codes is how to compare population activity patterns. P...
Estimating the degree of synchrony or reliability between two or more spike trains is a frequent tas...
Abstract—Multi-electrode array recordings reveal com-plex structures in the firing of spatially dist...
Nowadays distance measures techniques have been quickly developed and widely used to the real applic...
Background: Spike trains of multiple neurons can be analyzed following the summed population (SP) or...
van Rossum distance between observed spike trains from the neuron models with and without the event-...
<p>The spike sorted waveforms of a single neuron. The black lines are individual spikes and the red ...
The function takes as an input the spike times of the two spike trains and the Victor and Purpura co...
A) Sensitivity to spike timing and spike count for different measures for an example of three synthe...
The van Rossum metric measures the distance between two spike trains. Measuring a single van Rossum ...
The distance between a pair of spike trains, quantifying the differences be-tween them, can be measu...
In this paper numerical methods of computing distances between two Radon mea-sures on R are discusse...
Neural spike train analysis methods are mainly used for understanding the temporal aspects of neural...
<p>Spike trains are observables when investigating neural activity - represent the response of a neu...
Simulations of spike trains with same number of spikes (i.e., n = 20). Top: Comparison of distances ...
A fundamental problem in studying population codes is how to compare population activity patterns. P...
Estimating the degree of synchrony or reliability between two or more spike trains is a frequent tas...
Abstract—Multi-electrode array recordings reveal com-plex structures in the firing of spatially dist...
Nowadays distance measures techniques have been quickly developed and widely used to the real applic...
Background: Spike trains of multiple neurons can be analyzed following the summed population (SP) or...
van Rossum distance between observed spike trains from the neuron models with and without the event-...
<p>The spike sorted waveforms of a single neuron. The black lines are individual spikes and the red ...
The function takes as an input the spike times of the two spike trains and the Victor and Purpura co...
A) Sensitivity to spike timing and spike count for different measures for an example of three synthe...