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improve eod calculation/detection

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a.ott 2020-07-06 15:22:53 +02:00
parent 71115d83d0
commit ad62b31abc
1 changed files with 5 additions and 7 deletions
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12
helperFunctions.py
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@ -284,15 +284,13 @@ def calculate_serial_correlation(spiketimes: np.ndarray, max_lag: int) -> np.nda
return cor return cor
def calculate_eod_frequency(time, eod): def calculate_eod_frequency(eod, sampling_interval):
# TODO for few samples very volatile measure! # TODO for few samples very volatile measure!
up_indicies, down_indicies = threshold_crossings(eod, 0) std = np.std(eod)
up_times, down_times = threshold_crossing_times(time, eod, 0, up_indicies, down_indicies) peaks, _ = detect_peaks(eod, std*1)
peak_times = [p*sampling_interval for p in peaks]
if len(up_times) == 0: durations = np.diff(peak_times)
return 0
durations = np.diff(up_times)
mean_duration = np.mean(durations) mean_duration = np.mean(durations)
return 1/mean_duration return 1/mean_duration