The time constant of the depression of the dynamic synapse

F (sec) :

The time constant of the facilitation of the dynamic synapse

u0 :

Value of the time varying facilitation state variable u for the first spike

r0 :

Value of the time varying depression state variable r for the first spike

back_delay (sec) :

Delay of dendritic backpropagating spike (the synapse sees the postsynaptic spike delayed by back_delay

tauspost :

Used for extended rule by Froemke and Dan. See Froemke and Dan (2002). Spike-timing-dependent synaptic modification induced by natural spike trains. Nature 416 (3/2002).

tauspre :

Used for extended rule by Froemke and Dan.

taupos :

Timeconstant of exponential decay of positive learning window for STDP.

tauneg :

Timeconstant of exponential decay of negative learning window for STDP.

dw :

STDPgap :

No learning is performed if
|Delta| = |t_{post}-t_{pre}| < STDPgap.

activeSTDP :

Set to 1 to activate STDP-learning. No learning is performed if set to 0.

useFroemkeDanSTDP :

activate extended rule by Froemke and Dan (default=1)

Wex :

The maximal/minimal weight of the synapse

Aneg :

Defines the peak of the negative exponential learning window.

Apos :

Defines the peak of the positive exponential learning window.

mupos :

Extended multiplicative positive update:
dw = (Wex-W)^{mupos} * Apos * exp(-Delta/taupos). Set to 0 for basic update. See Guetig, Aharonov, Rotter and Sompolinsky (2003). Learning input correlations through non-linear asymmetric Hebbian plasticity. Journal of Neuroscience 23. pp.3697-3714.

muneg :

Extended multiplicative negative update:
dw = W^{mupos} * Aneg * exp(Delta/tauneg). Set to 0 for basic update.

tau (sec) :

The synaptic time constant

W :

The weight (scaling factor, strenght, maximal amplitude) of the synapse