26 lines
622 B
Python
26 lines
622 B
Python
import matplotlib.pyplot as plt
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import numpy as np
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from read_chirp_data import *
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from IPython import embed
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data_dir = "../data"
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dataset = "2018-11-09-ad-invivo-1"
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spikes = read_chirp_spikes(os.path.join(data_dir, dataset))
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eod = read_chirp_eod(os.path.join(data_dir, dataset))
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times = read_chirp_times(os.path.join(data_dir, dataset))
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df_map = {}
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for k in spikes.keys():
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df = k[1]
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if df in df_map.keys():
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df_map[df].append(k)
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else:
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df_map[df] = [k]
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embed()
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exit()
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plot_spikes = spikes[(0, '-50Hz', '20%', '100Hz')][(0, 0.789)]
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plt.scatter(plot_spikes, np.ones(len(plot_spikes)))
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plt.show()
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