Simulations of spike trains with same number of spikes (i.e., n = 20). Top: Comparison of distances between VP and EMD. Spike trains were defined as tm = (0, …, 0) and tk = (T, …, T), where T is the window length. Left: VP(q = 1/n) reaches a maximum value until T = 2n = 40. After that threshold, VP(q = 1/n) assign insertion costs rather than shifts. Right: (T/n) VP(q = 1/T) equals EMD. Bottom: Comparison of the average distances between VP and EMD across 100 simulations. Spike times for tm and tk (with same spike count) were randomly generated from a uniform distribution U(0, T). (PDF)</p
(a) Black line: Relationship between observation length and estimated TE averaged over a simulated n...
<p>Spike trains are observables when investigating neural activity - represent the response of a neu...
<p>The examples show matches for burst clusters in response to natural background noise. <i>D</i> de...
A) Sensitivity to spike timing and spike count for different measures for an example of three synthe...
Neural spike train analysis methods are mainly used for understanding the temporal aspects of neural...
A) Global scaling. Same simulations as in S8 Fig. Victor-Purpura distance (VP) was used with differe...
A) Example of single spike trains for two epochs for 10 neurons. Patterns were generated as uniform ...
We simulated 6 patterns with Poisson noise surrounding the pattern on the left and right. The onset ...
The distance between a pair of spike trains, quantifying the differences be-tween them, can be measu...
A) Example of two epochs with spike times tk = (10, 10, 10, 10, 10, 10) and tm = (25, 40, 45, 55, 60...
<p>A) Spike train patterns from the local interneuron TN1 in response to the original song, −3 dB an...
<p>Statistical analysis and inferences on spike trains are one of the central topics in neural codin...
A) Pairwise comparison of epochs and clustering performance of metrics (one session). Top: Dissimila...
<p>A, simulations results using combinations of 2, 3 and 7 pooled spike trains. B, inset for the fil...
<p>Left two columns: reliability (coincidence factor Γ or Hunter and Milton measure <i>R</i><sub><i>...
(a) Black line: Relationship between observation length and estimated TE averaged over a simulated n...
<p>Spike trains are observables when investigating neural activity - represent the response of a neu...
<p>The examples show matches for burst clusters in response to natural background noise. <i>D</i> de...
A) Sensitivity to spike timing and spike count for different measures for an example of three synthe...
Neural spike train analysis methods are mainly used for understanding the temporal aspects of neural...
A) Global scaling. Same simulations as in S8 Fig. Victor-Purpura distance (VP) was used with differe...
A) Example of single spike trains for two epochs for 10 neurons. Patterns were generated as uniform ...
We simulated 6 patterns with Poisson noise surrounding the pattern on the left and right. The onset ...
The distance between a pair of spike trains, quantifying the differences be-tween them, can be measu...
A) Example of two epochs with spike times tk = (10, 10, 10, 10, 10, 10) and tm = (25, 40, 45, 55, 60...
<p>A) Spike train patterns from the local interneuron TN1 in response to the original song, −3 dB an...
<p>Statistical analysis and inferences on spike trains are one of the central topics in neural codin...
A) Pairwise comparison of epochs and clustering performance of metrics (one session). Top: Dissimila...
<p>A, simulations results using combinations of 2, 3 and 7 pooled spike trains. B, inset for the fil...
<p>Left two columns: reliability (coincidence factor Γ or Hunter and Milton measure <i>R</i><sub><i>...
(a) Black line: Relationship between observation length and estimated TE averaged over a simulated n...
<p>Spike trains are observables when investigating neural activity - represent the response of a neu...
<p>The examples show matches for burst clusters in response to natural background noise. <i>D</i> de...