neurodsp.sim.sim_damped_oscillation¶
- neurodsp.sim.sim_damped_oscillation(n_seconds, fs, freq, gamma, growth=None)[source]¶
Simulate a damped relaxation oscillation.
- Parameters
- n_secondsfloat
Simulation time, in seconds.
- fsfloat
Signal sampling rate, in Hz.
- freqfloat
Oscillation frequency, in Hz.
- gammafloat
Parametric dampening coefficient.
- growthfloat, optional, default: None
Logistic growth rate to smooth the heaviside step function. If None, a non-smoothed heaviside is used.
- Returns
- sig1d array
Simulated damped relaxation oscillation.
Notes
This implementation of a damped oscillation is implemented as Equation 3 of [1].
References
- 1
Evertz, R., Hicks, D. G., & Liley, D. T. J. (2021). Alpha blocking and 1/fβ spectral scaling in resting EEG can be accounted for by a sum of damped alpha band oscillatory processes. bioRxiv. DOI: https://doi.org/10.1101/2021.08.20.457060
Examples
Simulate a damped alpha oscillation:
>>> sig = sim_damped_oscillation(1, 1000, 10, .1)
