neuronalAPTrain {FMM}

Neuronal AP Train Data simulated with Hodgkin-Huxley model

Description

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.

Usage

data(neuronalAPTrain)

Format

A numeric vector.

Source

NeuroDynex Documentation, <https://lcn-neurodynex-exercises.readthedocs.io/en/latest/#>

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/))

Examples

data(neuronalAPTrain)
str(neuronalAPTrain)