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use fitting error to choose best fit

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a.ott 2020-08-19 17:18:16 +02:00
parent 5f5afd68a9
commit 5ef0594dd4
1 changed files with 2 additions and 6 deletions
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8
sam_experiments.py
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@ -10,10 +10,11 @@ from CellData import CellData
from ModelFit import ModelFit, get_best_fit from ModelFit import ModelFit, get_best_fit
import os import os
def main(): def main():
sam_analysis("results/invivo_results/2013-01-08-ad-invivo-1/") sam_analysis("results/invivo_results/2013-01-08-ad-invivo-1/")
quit() quit()
modelfit = get_best_fit("results/invivo_results/2013-01-08-ad-invivo-1/") modelfit = get_best_fit("results/invivo_results/2013-01-08-ad-invivo-1/", use_comparable_error=False)
if not os.path.exists(os.path.join(modelfit.get_cell_path(), "samallspikes1.dat")): if not os.path.exists(os.path.join(modelfit.get_cell_path(), "samallspikes1.dat")):
print("Cell: {} \n Has no measured sam stimuli.") print("Cell: {} \n Has no measured sam stimuli.")
@ -198,11 +199,6 @@ def sam_analysis(fit_path):
plt.close() plt.close()
def generate_pdf(model, stimulus, trials=4, sim_length=3, kernel_width=0.005): def generate_pdf(model, stimulus, trials=4, sim_length=3, kernel_width=0.005):
trials_rate_list = [] trials_rate_list = []