Neural Plasticity / 2008 / Article / Fig 2

Research Article

Spontaneous Plasticity of Multineuronal Activity Patterns in Activated Hippocampal Networks

Figure 2

Diagram of entropy-based metrics to capture network activity patterns. (a) Shannon index (SI) is calculated with the Shannon entropy equation and normalized with its maximum and minimum values that can be taken through data shuffle with keeping the total number of events constant, as shown in the schematics. (b) SI can take different values depending on the pattern of activity, even when the numbers of activity events and active cells are invariant. (c) Example of the normalized SI (NSI) in multineuronal spike trains. A 1-minute window (shadow area) was placed at any given time on a rastergram. Two histograms were made by projecting the dataset to the vertical (right) and horizontal axes (bottom), so that NSIs evaluate the event dispersion in terms of space and time ( and , resp.).

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