Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity

doi:10.1371/journal.pcbi.1003037

Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity

Figure 2

Learning curves for STDP.

Under the simple STDP model (red curve), potentiation occurs only if the postsynaptic spike falls within a time window of length (typically ms) after the presynaptic spike. The convergence properties of this simpler version in conjunction with rectangular non-additive EPSPs are easier to analyze. In our simulations we use the more complex version (blue dashed curve) in combination with EPSPs that are modeled as biologically realistic -kernels (with plausible time-constants for rise and decay of respectively ms).

doi: https://doi.org/10.1371/journal.pcbi.1003037.g002