R/neuronalAPTrain-data.R

In FMM: Rhythmic Patterns Modeling by FMM Models

#' Neuronal AP Train Data simulated with Hodgkin-Huxley model
#'
#' 	Voltage data in mV simulated with Hodgkin Huxley model (parameters: C=1, 
#' 	gNa=232, gK=45, gL=0.215, vK=-12, vNa=115, vL=10.6, bar(alphaN)=0.95, 
#' 	bar(betaN)=1.3, bar(alphaM)=1, bar(betaM)=1.15, bar(alphaH)=1, 
#' 	bar(betaH)=1) and applied current of 4.5 microA 1 millisecond. The 
#' 	simulation has been done with a modified NeuroDynex Python module.
#'
#' @docType data
#'
#' @usage data(neuronalAPTrain)
#'
#' @format A numeric vector.
#'
#' @keywords datasets
#'
#' @references Wulfram Gerstner, Werner M. Kistler, Richard Naud, 
#' and Liam Paninski (2014). Neuronal Dynamics: From Single Neurons to 
#' Networks and Models of Cognition.
#' ([Online Book](https://neuronaldynamics.epfl.ch/online/))
#'
#' @source NeuroDynex Documentation, <https://lcn-neurodynex-exercises.readthedocs.io/en/latest/#>
#'
#' @examples
#' data(neuronalAPTrain)
#' str(neuronalAPTrain) 
"neuronalAPTrain"