In aldomann/neuronsim: Simulate The Dynamics of Neuronal Ensembles Using the Model of FREs and QIF Neurons

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ggplot2::theme_set(ggplot2::theme_bw())

neuronsim

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Overview

The goal of {neuronsim} is to simulate the dynamics of neuronal ensembles using the model of FREs and QIF neurons.

Installation

The development version can be installed from GitHub with:

# install.packages("devtools")
devtools::install_github("aldomann/neuronsim")

Examples

library(neuronsim)

init_state <- c(r = 0, v = -2)
params <- c(delta = 1, etabar = -5, J = 15)
times_seq <- seq(from = -10, to = 40, by = 0.001)
current <- constant_input(t, current = 3, t_start = 0, t_end = 30)

The macroscopic dynamics of neuronal ensembles can be described by solving the firing-rate equations (FREs):

fre_output <- solve_fre(
  params = params,
  init_state = init_state,
  times = times_seq,
  input = current,
  method = "rk4"
)

The microscopic dynamics of neuronal ensembles can be described by running a QIF neurons simulation:

qif_output <- simulate_qif(
  params = params,
  init_state = init_state,
  times = times_seq,
  input = current(times_seq)
)

To plot the macroscopic and microscopic dynamics of the ensemble we can run:

plot_dynamics(
  data = list(fre_output, qif_output$data),
  raster_data = qif_output$raster
)

aldomann/neuronsim documentation built on Jan. 28, 2021, 12:51 p.m.