Alexander/P-unit_model
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increase trials for the results that are saved, a lot

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a.ott 2020-07-07 11:35:20 +02:00
parent 8d81aea9fe
commit 6313de9728
1 changed files with 2 additions and 2 deletions
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run_Fitter.py
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@ -284,14 +284,14 @@ def save_fitting_run_info(cell_data, parameters, start_parameters, plot=False, s
contrasts = np.array(cell_data.get_fi_contrasts()) * -1
else:
contrasts = np.array(cell_data.get_fi_contrasts())
model_baseline = get_baseline_class(model, eod_frequency)
model_baseline = get_baseline_class(model, eod_frequency, trials=15)
m_bf = model_baseline.get_baseline_frequency()
m_vs = model_baseline.get_vector_strength()
m_sc = model_baseline.get_serial_correlation(1)
m_cv = model_baseline.get_coefficient_of_variation()
m_burst = model_baseline.get_burstiness()
model_ficurve = get_fi_curve_class(model, cell_data.get_fi_contrasts(), eod_frequency)
model_ficurve = get_fi_curve_class(model, cell_data.get_fi_contrasts(), eod_frequency, trials=60)
m_f_infinities = model_ficurve.get_f_inf_frequencies()
m_f_zeros = model_ficurve.get_f_zero_frequencies()
m_f_infinities_slope = model_ficurve.get_f_inf_slope()