get_lamb_s: Calculate branch value at activity S
In Bandytwin/simER: Simulate random, directed, homogenous networks
Description
Usage
Arguments
Value
Description
Estimate the branching function at a particular value of S
Usage
1
get_lamb_s(W_E, W_I, k, alpha, s)
Arguments
W_E
the effective inhibitory weight
W_I
the effective excitatory weight
k
mean degree of network (N*p)
alpha
the proportion of inhibitory neurons
s
the activity level at the current time-step (proportion of active
nodes)
Value
lamb_s the expected change in activity level at the next time-step
Bandytwin/simER documentation built on May 31, 2019, 8:43 p.m.
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Description Usage Arguments Value
Description
Estimate the branching function at a particular value of S
Usage
1 | get_lamb_s(W_E, W_I, k, alpha, s)
|
Arguments
W_E |
the effective inhibitory weight |
W_I |
the effective excitatory weight |
k |
mean degree of network (N*p) |
alpha |
the proportion of inhibitory neurons |
s |
the activity level at the current time-step (proportion of active nodes) |
Value
lamb_s the expected change in activity level at the next time-step
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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