Skip to main content
. 2012 Jul 5;8(7):e1002584. doi: 10.1371/journal.pcbi.1002584

Table 1. Neuronal and learning parameters.

Quantity: variable name and value
time step Inline graphic
simulation duration Inline graphic
Input parameters
input firing rate Inline graphic
input correlation strength Inline graphic
PSP parameters
synaptic rise time constant Inline graphic
synaptic decay time constant Inline graphic
axonal delays Inline graphic
dendritic delays Inline graphic
STDP model
learning speed Inline graphic
LTP time constant Inline graphic
LTD time constant Inline graphic
white noise standard deviation Inline graphic
log-STDP in (23)
LTP scaling coefficient Inline graphic
LTP decay factor Inline graphic
LTD scaling coefficient Inline graphic
LTD curvature factor Inline graphic
reference weight Inline graphic
nlta-STDP in (24)
LTP scaling coefficient Inline graphic
LTD scaling coefficient Inline graphic
weight-dependence exponent Inline graphic
weight upper bound Inline graphic
add-STDP
LTP scaling coefficient Inline graphic
LTD scaling coefficient Inline graphic
weight upper bound Inline graphic
mlt-STDP in (25)
LTP scaling coefficient Inline graphic
LTD scaling coefficient Inline graphic
single-spike plasticity terms (SCC)
presynaptic contribution Inline graphic
postsynaptic contribution Inline graphic

Unless specified, the above parameters are used in numerical simulation.