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| = |tpost-tpre| < 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 = Wmupos * 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
