diff --git a/figures/MAM2EBRAINS.py b/figures/MAM2EBRAINS.py index 4c4b4404db0b6e4ac5d63104eb2c8a9c95ff3866..ce9208f41dce297b2d71980ecbd13f1271ac62ad 100644 --- a/figures/MAM2EBRAINS.py +++ b/figures/MAM2EBRAINS.py @@ -11,10 +11,13 @@ from matplotlib import gridspec from matplotlib import rc_file rc_file('plotstyle.rc') +icolor = myred +ecolor = myblue + # Instantaneous and mean firing rate across all populations -def plot_instan_mean_firing _rate(tsteps, rate): - fig, ax = plt.subplots() +def plot_instan_mean_firing_rate(tsteps, rate, sim_params): + fig, ax = pl.subplots() ax.plot(tsteps, rate) ax.plot(tsteps, np.average(rate)*np.ones(len(tsteps)), label='mean') ax.set_title('Instantaneous and mean firing rate across all populations') diff --git a/multi-area-model.ipynb b/multi-area-model.ipynb index c0b1814ab273d7dcdb89d5b07e61c2a28baee492..b38965b55d245b48b3e319d7fad42c3f0b0aae59 100644 --- a/multi-area-model.ipynb +++ b/multi-area-model.ipynb @@ -1113,7 +1113,7 @@ } ], "source": [ - "M2E.plot_instan_mean_firing _rate(tsteps, rate)" + "M2E.plot_instan_mean_firing _rate(tsteps, rate, sim_params)" ] }, {