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. 2017 Oct 30;13(10):e1005836. doi: 10.1371/journal.pcbi.1005836

Fig 1. Schematic representation of our MaxEnt interpretation method.

Fig 1

An unseen sequence x elicits penultimate unit activations (shaded dots in left figure) via non-linear operations of intermediate layers (illustrated as a horizontal stack of convolutional filters). The MaxEnt method for interpreting a given input sequence x0 assigns probability to a new sequence x according to its similarity to x0 in the space of penultimate activations. The irregular path connecting x0 and x in sequence space illustrates the steps of MCMC.