<p>A, simulations results using combinations of 2, 3 and 7 pooled spike trains. B, inset for the filter lengths in the range 20–200 ms. C, experimental results for subject n. 3. D, inset for the filter length in the range 20–140 ms. Values are reported as the mean across all combinations of the specified number of spike trains. Notice the non-monotonic behavior when the filter length is approximately equal to the mean inter-spike intervals (97±17 ms for simulations and 72±19 ms for experimental).</p
International audienceThe detection and characterization of bursting activity remains a topic where ...
Mathematical details, supplemental to the paper: "Detecting pairwise correlations in spike trains: a...
(a) Black line: Relationship between observation length and estimated TE averaged over a simulated n...
<p><i>A</i>, spike trains of seven motor units filtered with 1 ms, 150 ms and 400 ms duration low-pa...
<p>A, impulse response of the three filters used in the study: rectangular window of 1 ms (equivalen...
<p><i>A</i>, results from the simulations using the band-pass Gaussian noise in the frequency band 0...
Measure correlation between spike trains is a fundamental step for the study of neural systems. Ther...
(A-C) Six hypothetical cases of pairs of spike trains and their associated Pearson's correlation coe...
Correlated neural activity has been observed at various signal levels (e.g., spike count, membrane p...
The extent to which groups of neurons exhibit higher-order correlations in their spiking activity is...
Simulations of spike trains with same number of spikes (i.e., n = 20). Top: Comparison of distances ...
<p>Pseudo-population responses of neurons were generated based on the response distribution of each...
<p>Neural responses for a population of 30 neurons containing all the cells in our data set were gen...
International audienceThe detection and characterization of bursting activity remains a topic where ...
International audienceThe detection and characterization of bursting activity remains a topic where ...
International audienceThe detection and characterization of bursting activity remains a topic where ...
Mathematical details, supplemental to the paper: "Detecting pairwise correlations in spike trains: a...
(a) Black line: Relationship between observation length and estimated TE averaged over a simulated n...
<p><i>A</i>, spike trains of seven motor units filtered with 1 ms, 150 ms and 400 ms duration low-pa...
<p>A, impulse response of the three filters used in the study: rectangular window of 1 ms (equivalen...
<p><i>A</i>, results from the simulations using the band-pass Gaussian noise in the frequency band 0...
Measure correlation between spike trains is a fundamental step for the study of neural systems. Ther...
(A-C) Six hypothetical cases of pairs of spike trains and their associated Pearson's correlation coe...
Correlated neural activity has been observed at various signal levels (e.g., spike count, membrane p...
The extent to which groups of neurons exhibit higher-order correlations in their spiking activity is...
Simulations of spike trains with same number of spikes (i.e., n = 20). Top: Comparison of distances ...
<p>Pseudo-population responses of neurons were generated based on the response distribution of each...
<p>Neural responses for a population of 30 neurons containing all the cells in our data set were gen...
International audienceThe detection and characterization of bursting activity remains a topic where ...
International audienceThe detection and characterization of bursting activity remains a topic where ...
International audienceThe detection and characterization of bursting activity remains a topic where ...
Mathematical details, supplemental to the paper: "Detecting pairwise correlations in spike trains: a...
(a) Black line: Relationship between observation length and estimated TE averaged over a simulated n...