stdp – Synapse type for spike-timing dependent plasticity

Description

The STDP class is a type of synapse model used to create synapses that enable spike timing dependent plasticity (as defined in [1]). Here the weight dependence exponent can be set separately for potentiation and depression.

Parameters

tau_plus	ms	Time constant of STDP window, potentiation
tau_minus	ms	Time constant of STDP window, depression
lambda	real	Step size
alpha	real	Asymmetry parameter (scales depression increments as alpha*lambda)
mu_plus	real	Weight dependence exponent, potentiation
mu_minus	real	Weight dependence exponent, depression
Wmax	real	Maximum allowed weight

References

[1]

Guetig et al. (2003). Learning input correlations through nonlinear temporally asymmetric hebbian plasticity. Journal of Neuroscience, 23:3697-3714 DOI: https://doi.org/10.1523/JNEUROSCI.23-09-03697.2003