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. Author manuscript; available in PMC: 2021 Jun 1.
Published in final edited form as: J Neurosci Methods. 2020 Mar 6;339:108672. doi: 10.1016/j.jneumeth.2020.108672

Fig 7. Persistence of topological features.

Fig 7.

(A-C) shows a coordination pattern represented by point clouds at three different scales ϵ, i.e. a union of balls centered at each point with diameter ϵ = 0:1 in (A), ϵ = 0:2 in (B), or ϵ = 0:5 in (C). Note the merging of connected components from (A) to (B), the emergence of loops in (B) and their destruction in (C). The 0th and 1st persistent homology (connected components and loops respectively) of this point cloud are shown in (D,E) as barcodes, and in (F,G) as persistence landscapes. In (D,E), each horizontal bar represents a connected component (D) or loop (E), whose left (right) end indicates its birth (death) scale. Right arrow in (D) indicates that this component never dies (one connected component remains at any scale). (F,G) summarize the same information as a sequence of landscape functions, λk(l), where k indicates that the landscape function is derived from the kth persistent homology (i.e. 0th persistent homology for connected components in F; 1st persistent homology for loops in G) and indicates how prominent the landscape is (small more prominent; only the five most prominent landscape functions are shown).