[useful_functions.py] added sam_spectrum function
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@ -399,6 +399,39 @@ def sam_data(sam):
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avg_dur = np.mean(durations)
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avg_dur = np.mean(durations)
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return avg_dur, sam_amp, sam_am, sam_df, sam_eodf, sam_nyquist, sam_stim
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return avg_dur, sam_amp, sam_am, sam_df, sam_eodf, sam_nyquist, sam_stim
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def sam_spectrum(sam):
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"""
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Creates a power spectrum for a ReproRun of a SAM.
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Parameters
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----------
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sam : ReproRun Object
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The Reprorun the powerspectrum should be generated from.
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Returns
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-------
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sam_frequency : np.array
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The frequencies of the powerspectrum.
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sam_power : np.array
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The powers of the frequencies.
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"""
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stimuli = sam.stimuli
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# lists for the power spectra
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frequencies = []
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powers = []
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# loop over the stimuli
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for stimulus in stimuli:
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# get the powerspectrum for each stimuli
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frequency, power = power_spectrum(stimulus)
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# append the power spectrum data
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frequencies.append(frequency)
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powers.append(power)
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#average over the stimuli
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sam_frequency = np.mean(frequencies, axis = 0)
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sam_power = np.mean(powers, axis = 0)
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return sam_frequency, sam_power
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def spike_times(stim):
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def spike_times(stim):
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"""
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"""
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Reads out the spike times and other necessary parameters
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Reads out the spike times and other necessary parameters
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