use fitting error to choose best fit
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@ -10,10 +10,11 @@ from CellData import CellData
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from ModelFit import ModelFit, get_best_fit
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import os
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def main():
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sam_analysis("results/invivo_results/2013-01-08-ad-invivo-1/")
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quit()
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modelfit = get_best_fit("results/invivo_results/2013-01-08-ad-invivo-1/")
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modelfit = get_best_fit("results/invivo_results/2013-01-08-ad-invivo-1/", use_comparable_error=False)
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if not os.path.exists(os.path.join(modelfit.get_cell_path(), "samallspikes1.dat")):
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print("Cell: {} \n Has no measured sam stimuli.")
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@ -198,11 +199,6 @@ def sam_analysis(fit_path):
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plt.close()
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def generate_pdf(model, stimulus, trials=4, sim_length=3, kernel_width=0.005):
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trials_rate_list = []
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