# -------------------------- # # Another model for simulating aperiodic, neurally plausible activity, is to simulate # synaptic current activity, as a Lorentzian function. # # The synaptic current moedel is poisson activity convolved with exponential kernels # that mimic the shape of post-synaptic potentials. # # For more details on the usage of such models for simulating neural signals, # see Destexhe et al., 2001 and/or Gao et al., 2017. # ################################################################################################### # Simulate aperiodic activity from the synaptic kernel model syn_noise = sim.sim_synaptic_current(n_seconds, fs) ################################################################################################### # Plot the simulated data, in the time domain plot_time_series(times, syn_noise, title='Synaptic Activity') ################################################################################################### # # Both the random walk, and synaptic model produce 1/f scaling in higher frequencies with a # fixed exponent of -2, as we can see in the power spectra plot below. # ################################################################################################### # Plot the simulated data, in the frequency domain
# Another model for simulating aperiodic, neurally plausible activity, is to simulate # synaptic current activity, as a Lorentzian function. # # This is available with the :func:`~.sim_synaptic_current` function. # # The synaptic current model is Poisson activity convolved with exponential kernels # that mimic the shape of post-synaptic potentials. # # For more details on the usage of such models for simulating neural signals, see # `Gao et al, 2017 <https://doi.org/10.1016/j.neuroimage.2017.06.078>`_. # ################################################################################################### # Simulate aperiodic activity from the synaptic kernel model syn_ap = sim_synaptic_current(n_seconds, fs) ################################################################################################### # Plot the simulated data, in the time domain plot_time_series(times, syn_ap, title='Simulated Synaptic Activity') ################################################################################################### # # Both the random walk, and synaptic model produce 1/f scaling in higher frequencies with a # fixed exponent of -2, as we can see in the power spectra plot below. # ################################################################################################### # Plot the simulated data, in the frequency domain