35 lines
917 B
Python
35 lines
917 B
Python
import numpy as np
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import matplotlib.pyplot as plt
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from read_baseline_data import *
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from NixFrame import *
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from utility import *
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from IPython import embed
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# plot and data values
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inch_factor = 2.54
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data_dir = '../data'
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dataset = '2018-11-09-ad-invivo-1'
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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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interspikeintervals = np.diff(spikes)*1000
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fig, ax = plt.subplots(figsize=(20/inch_factor, 10/inch_factor))
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plt.hist(interspikeintervals, bins=np.arange(0, np.max(interspikeintervals), 0.0001), color='darkblue')
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#Titel fehlt!!
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plt.xlabel("time [ms]", fontsize = 22)
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plt.xticks(fontsize = 18)
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plt.ylabel("Number of \n Interspikeinterval", fontsize = 22)
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plt.yticks(fontsize = 18)
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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.savefig('isis.pdf')
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