waha
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@ -14,8 +14,6 @@ dataset = '2018-11-14-al-invivo-1'
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# read eod and time of baseline
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time, eod = read_baseline_eod(os.path.join(data_dir, dataset))
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# read spikes during baseline activity
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spikes = read_baseline_spikes(os.path.join(data_dir, dataset))
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# calculate interpike intervals and plot them
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@ -31,14 +29,11 @@ ax.spines["top"].set_visible(False)
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ax.spines["right"].set_visible(False)
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fig.tight_layout()
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plt.show()
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#plt.show()
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<<<<<<< HEAD
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plt.show()
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#plt.savefig('isis.pdf')
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exit()
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=======
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plt.savefig('isis.png')
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>>>>>>> b9573c65638c8a716e57d75fbe550f0a1ef8859f
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# calculate coefficient of variation
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mu = np.mean(interspikeintervals)
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