mean_field_model_system: System of Firing-Rate Equations
In aldomann/neuronsim: Simulate The Dynamics of Neuronal Ensembles Using the Model of FREs and QIF Neurons
Description
Usage
Arguments
Value
View source: R/firing_rate_equations.R
Description
This nonlinear system describes the macroscopic dynamics of the population of
QIF neurons in terms of the population firing rate r and mean membrane potential v.
Usage
1
mean_field_model_system(t, state, params, input)
Arguments
t
The current time point in the integration.
state
State variables and their initial conditions.
params
Parameters to pass to the FREs (delta, etabar, J).
input
Input current or stimulus function of the system.
Value
List of rates of changes dr and dv.
aldomann/neuronsim documentation built on Jan. 28, 2021, 12:51 p.m.
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Description Usage Arguments Value
View source: R/firing_rate_equations.R
Description
This nonlinear system describes the macroscopic dynamics of the population of QIF neurons in terms of the population firing rate r and mean membrane potential v.
Usage
1 | mean_field_model_system(t, state, params, input)
|
Arguments
t |
The current time point in the integration. |
state |
State variables and their initial conditions. |
params |
Parameters to pass to the FREs (delta, etabar, J). |
input |
Input current or stimulus function of the system. |
Value
List of rates of changes dr and dv.
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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