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. Author manuscript; available in PMC: 2014 Mar 1.
Published in final edited form as: Nat Rev Neurosci. 2013 Feb 6;14(3):202–216. doi: 10.1038/nrn3444

Figure 5. Clustering of neurons considering all features.

Figure 5

a–f | Parallel coordinate diagrams of clusters of neurons obtained with the k-means algorithm (k = 6) considering all of the features at the same time. Each line represents one neuron, showing the number of experts who selected each category of every feature when classifying that neuron. For example, panel b shows a cluster in which the majority of neurons were categorized by many experts as translaminar (dark blue), transcolumnar (dark green), displaced (orange), ascending (light blue), Martinotti (pink) and characterized (light green).