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reduce start parameters

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alexanderott 2021-06-07 09:48:02 +02:00
parent 4a6eda070a
commit 12c21cb740
1 changed files with 17 additions and 7 deletions
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24
run_Fitter.py
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@ -13,7 +13,7 @@ import argparse
import numpy as np
import multiprocessing as mp
SAVE_DIRECTORY = "./results/sam_cells/"
SAVE_DIRECTORY = "./results/sam_cells_p3/"
# SAVE_DIRECTORY_BEST = "./results/final_sam2_best/"
# SAVE_DIRECTORY = "./results/ref_and_tau/no_dend_tau/"
@ -118,13 +118,23 @@ def iget_start_parameters():
# mem_tau, input_scaling, noise_strength, dend_tau,
# expand by tau_a, delta_a ?
mem_tau_list = [0.001, 0.002, 0.004]
input_scaling_list = [20, 200]
noise_strength_list = [0.01, 0.04]
dend_tau_list = [0.002, 0.005]
# big fit
# mem_tau_list = [0.001, 0.002, 0.004]
# input_scaling_list = [20, 200]
# noise_strength_list = [0.01, 0.04]
# dend_tau_list = [0.002, 0.005]
# delta_a_list = [0.01, 0.03, 0.065]
# tau_a_list = [0.05, 0.12]
# ref_time_list = [0.00065, 0.001]
# small fit
mem_tau_list = [0.001]
input_scaling_list = [80]
noise_strength_list = [0.01]
dend_tau_list = [0.002]
delta_a_list = [0.01, 0.03, 0.065]
tau_a_list = [0.05, 0.12]
ref_time_list = [0.00065, 0.001]
tau_a_list = [0.02, 0.04]
ref_time_list = [0.00065, 0.0012]
for mem_tau in mem_tau_list:
for input_scaling in input_scaling_list: