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Spike-Based Bayesian-Hebbian Learning of Temporal Sequences

Fig 9

Multiparametric intrinsic determinants of temporal sequence speed.

Univariate effects on recall speed are quantified by modulating (A) the rate of background excitation, (B) the AMPA/NMDA ratio, (C) the magnitude of neural adaptation, (D) the magnitude of short-term depression, (E) the time constant of neural adaptation and (F) the time constant of short-term depression. Simulations using the parameters from Fig 8B were reproduced in A-F in red for comparison. The dotted gray line represents a linear relationship between training and recall speeds (compression factor = 1, see Eq 12), “attrs” abbreviates attractors and shaded areas denote standard deviations.

Fig 9

doi: https://doi.org/10.1371/journal.pcbi.1004954.g009