A) 2D t-SNE embeddings from SpikeShip and Firing rates’ dissimilarity matrices. The allocation of natural scenes’ clusters are different between the two embeddings. Natural scenes are represented by their ID. B) Scaled Euclidean pairwise distance between centroids of each cluster for both SpikeShip (Left) and firing rates (Middle), and their difference (Right). (PDF)</p
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) cluster...
A) Example of single spike trains for two epochs for 10 neurons. Patterns were generated as uniform ...
Variation on the number of clusters (A) and number of entries in the biggest cluster (B) depending o...
A) Dissimilarity matrices for Allen Brain Institute data (sorted by natural scenes). Colormaps were ...
Top: Dissimilarity matrices sorted by Natural Scene ID. Middle: 2D t-SNE embeddings from dissimilari...
A) Pairwise comparison of epochs and clustering performance of metrics (one session). Top: Dissimila...
A) Six multi-neuron spiking patterns that were generated according to different inhomogenous Poisson...
A) Raster plot of two epochs with N = 8, 301 neurons for each presentation. B) Sorted dissimilarity ...
<p>Each row shows results for one example neuron. Each plot depicts the 2D linear feature space used...
Two different temporal patterns with different firing rates. Each temporal pattern could occur in on...
<p>Clusters of bursts from laboratory recordings (black), matched to clusters of bursts from outdoor...
Two different temporal patterns with different firing rates. Each temporal pattern can occur in a lo...
<p>The examples show matches for burst clusters in response to natural background noise. <i>D</i> de...
(A) Performance of clustering on 2D t-SNE embeddings for SPOTDis (left) and SpikeShip (right) measur...
a) Euclidean distance between subjects over the initial blood marker space. b) Learnt similarity mat...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) cluster...
A) Example of single spike trains for two epochs for 10 neurons. Patterns were generated as uniform ...
Variation on the number of clusters (A) and number of entries in the biggest cluster (B) depending o...
A) Dissimilarity matrices for Allen Brain Institute data (sorted by natural scenes). Colormaps were ...
Top: Dissimilarity matrices sorted by Natural Scene ID. Middle: 2D t-SNE embeddings from dissimilari...
A) Pairwise comparison of epochs and clustering performance of metrics (one session). Top: Dissimila...
A) Six multi-neuron spiking patterns that were generated according to different inhomogenous Poisson...
A) Raster plot of two epochs with N = 8, 301 neurons for each presentation. B) Sorted dissimilarity ...
<p>Each row shows results for one example neuron. Each plot depicts the 2D linear feature space used...
Two different temporal patterns with different firing rates. Each temporal pattern could occur in on...
<p>Clusters of bursts from laboratory recordings (black), matched to clusters of bursts from outdoor...
Two different temporal patterns with different firing rates. Each temporal pattern can occur in a lo...
<p>The examples show matches for burst clusters in response to natural background noise. <i>D</i> de...
(A) Performance of clustering on 2D t-SNE embeddings for SPOTDis (left) and SpikeShip (right) measur...
a) Euclidean distance between subjects over the initial blood marker space. b) Learnt similarity mat...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) cluster...
A) Example of single spike trains for two epochs for 10 neurons. Patterns were generated as uniform ...
Variation on the number of clusters (A) and number of entries in the biggest cluster (B) depending o...