timescales.sim.sim_ou#
- timescales.sim.sim_ou(n_seconds, fs, tau, mean=0.0, variance=1.0)[source]#
Simulate spikes as an Ornstein-Uhlenbeck process.
- Parameters:
- n_secondsfloat
Length of the signal, in seconds.
- fsfloat
Sampling rate, in hz.
- taufloat
Timescale, in seconds.
- Returns:
- sig1d or 2d array
Signal containing timescale of interest.