def plot_trace(n=0, lg=False):
plt.plot(trueC[n], c=col[2], clip_on=False, zorder=5, label='Truth')
plt.plot(solution, c=col[0], clip_on=False, zorder=7, label='Estimate')
plt.plot(y, c=col[7], alpha=.7, lw=1, clip_on=False, zorder=-10, label='Data')
if lg:
plt.legend(frameon=False, ncol=3, loc=(.1, .62), columnspacing=.8)
spks = np.append(0, solution[1:] - g * solution[:-1])
plt.text(800, 2.2, 'Correlation: %.3f' % (np.corrcoef(trueSpikes[n], spks)[0, 1]), size=24)
plt.gca().set_xticklabels([])
simpleaxis(plt.gca())
plt.ylim(0, 2.85)
plt.xlim(0, 1500)
plt.yticks([0, 2], [0, 2])
plt.xticks([300, 600, 900, 1200], ['', ''])
# init params
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