[relacs/BaselineData] add baseline rate
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@ -18,7 +18,11 @@ class BaselineData:
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This class provides access to basic measures estimated from the baseline activity.
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"""
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def __init__(self, dataset: Dataset):
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def __init__(self, dataset=None, dataset_id=None):
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d, _ = Dataset.find(dataset_id=dataset_id)
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if len(d) == 0 or len(d) > 1:
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raise ValueError("Dataset id not found or not unique")
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dataset = d[0]
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self.__spike_data = []
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self.__eod_data = []
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self.__eod_times = []
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@ -66,6 +70,21 @@ class BaselineData:
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a_corr = a_corr[int(len(a_corr) / 2):]
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return a_corr[:max_lags]
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@property
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def baseline_rate(self):
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"""The average baseline firing rate for each run of the baseline repro
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Returns:
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list of float: the average firing rate
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"""
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rates = []
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for i in range(self.size):
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spikes = self.spikes(i)
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max_time = np.floor(spikes)[-1]
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min_time = np.ceil(spikes)[0]
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rates.append(len(spikes[(spikes >= min_time) & (spikes < max_time)])/(max_time - min_time))
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return rates
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def serial_correlation(self, max_lags=50):
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"""
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Returns the serial correlation of the interspike intervals.
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