init_network: Initialize a random, homogenous network
In Bandytwin/simER: Simulate random, directed, homogenous networks
Description
Initialize a network
Usage
1
init_network(n, p, alpha = 0.1, e_eff, i_eff, normal_weigths = F)
Arguments
n
The number of nodes in the network
p
The probability that node i feeds into node j (and visa-versa)
alpha
The proportion of neurons that are inhibitory
e_eff
The effective excitatory weight
i_eff
The effective inhibitory weight
k
(optional) The expected degree of the network
Bandytwin/simER documentation built on May 31, 2019, 8:43 p.m.
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Description
Initialize a network
Usage
1 | init_network(n, p, alpha = 0.1, e_eff, i_eff, normal_weigths = F)
|
Arguments
n |
The number of nodes in the network |
p |
The probability that node i feeds into node j (and visa-versa) |
alpha |
The proportion of neurons that are inhibitory |
e_eff |
The effective excitatory weight |
i_eff |
The effective inhibitory weight |
k |
(optional) The expected degree of the network |
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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