vector strength
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@ -3,6 +3,7 @@ import matplotlib.pyplot as plt
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from read_baseline_data import *
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from IPython import embed
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from NixFrame import *
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from utility import *
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inch_factor = 2.54
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data_dir = '../data'
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@ -53,6 +54,7 @@ max_cut = int(np.max(np.diff(eod_idx)))
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eod_cuts = np.zeros([len(eod_idx)-1, max_cut])
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# eods 15 + 16 are to short
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relative_times = []
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eod_durations = []
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for i, idx in enumerate(eod_idx[:-1]):
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eod_cut = eod[int(idx):int(eod_idx[i+1])]
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@ -63,14 +65,20 @@ for i, idx in enumerate(eod_idx[:-1]):
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relative_time = spike_cut - time_cut[0]
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if len(relative_time) > 0:
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relative_times.append(relative_time[:][0]*1000)
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eod_durations.append(len(eod_cut))
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mu_eod = np.nanmean(eod_cuts, axis=0)
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std_eod = np.nanstd(eod_cuts, axis=0)*3
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time_axis = np.arange(max_cut)/sampling_rate*1000
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vs = vector_strength(relative_times, eod_durations)
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embed()
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exit()
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#time_axis = np.arange(max_cut)/sampling_rate*1000
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#fig = plt.figure(figsize=(12/inch_factor, 8/inch_factor))
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'''
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fig, ax1 = plt.subplots(figsize=(12/inch_factor, 8/inch_factor))
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ax1.hist(relative_times, color='crimson')
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ax1.set_xlabel('time [ms]', fontsize=12)
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@ -90,4 +98,5 @@ plt.xticks(fontsize = 8)
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plt.yticks(fontsize = 8)
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fig.tight_layout()
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plt.show()
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'''
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@ -11,8 +11,10 @@ def zero_crossing(eod,time):
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def vector_strength(spike_times, eod_durations):
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alphas = spike_times/ eod_durations
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cs = (1/len(spike_times))*np.sum(np.cos(alphas))^2
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sn = (1/len(spike_times))*np.sum(np.sin(alphas))^2
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vs = np.sqrt(cs+sn)
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n = len(spike_times)
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phase_times = np.zeros(n)
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for i, idx in enumerate(spike_times):
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phase_times[i]= spike_times[i]/eod_durations[i]
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vs = np.sqrt((1/n*sum(np.cos(phase_times)))**2 + (1/n*sum(np.sin(phase_times)))**2)
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return vs
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